Turtles All The Way Down |
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If you are reading this, you are probably aware of the fierce debate surrounding vaccination and looking for information that will allow you to make the best decisions for yourself and your loved ones. Whether you are a parent or a parent to be, sorting through the many arguments on vaccines can be daunting. Still, you need an answer, a definitive one, to the crucial question: Who has it right in the great vaccine debate – the critics, who claim that vaccines often cause serious harm, or the medical establishment, which tells us that vaccines are safe and effective and the science is settled?
Rest assured, you have come to the right place. Turtles All the Way Down: Vaccine Science and Myth will resolve the vaccine question for you, once and for all. By the time you finish reading, not only will you see the answer clearly for yourself, you will also have the scientific references and specific quotes at your disposal that prove it – more than 1,200 of them – all from mainstream scientific papers and textbooks, the official publications of relevant government agencies, or manufacturers’ documents.
The book consolidates a great deal of information (accompanied by detailed analysis) that is scattered in hundreds of medical articles, books, and websites. All discussion is presented in clear and easy-to-understand language, so no medical education is required. It presents several original concepts in addition to laying a robust scientific foundation for the more established ones.
Foreword … iii
Introduction … vii
• Who Is This Book For? … ix
• How to Read This Book … x
• And Finally: A Warning and a Recommendation … xi
Part I: Vaccine Safety … 1
1 Turtles All The Way Down: Vaccine Clinical Trials … 2
• The Vaccine Approval Process … 3
• The Randomized Controlled Trial (RCT) … 4
• The Control Group in a Clinical Trial … 5
• External Control Group … 6
• Clinical Trials in Children … 7
• A Problem and a Solution … 8
• Fake Placebo … 9
• How Were Vaccines on the Schedule Tested? … 10
• Mere Coincidence or Deliberately Flawed Design? … 11
• The Clinical Trials of the Rotavirus Vaccines … 12
• Unethical Trials … 13
• Childhood Vaccine Clinical Trials: A Summary … 14
• Counter Arguments … 15
• Summary … 16
2 The Science of Vaccine Adverse Events: A Missing Link and an Empty Toolbox … 17
• Isaac’s Story … 17
• David’s Story … 18
• Fictional Science … 19
• Sixty Years of Non-Research … 20
• The IOM 2011 Report … 21
• The Missing Causal Link … 22
• The Empty Toolbox … 23
• Counter Arguments … 24
• Summary … 25
3 Deficient by Design: Vaccine Adverse Event Reporting Systems … 26
• VAERS … 27
• Underreporting Bias … 28
• Meaningless Analysis … 29
• Slade 2009: A VAERS HPV Vaccine Safety Study … 30
• Deficient by Design … 31
• Stop Calling Us, Lazarus … 32
• Counter Arguments … 33
• Summary … 34
4 Epidemiology 101 … 35
• Cigarette Smoking and Lung Cancer … 36
• Correlation and Causal Link … 37
• Determination of Causal Links in Medicine … 37
• Characteristics of Epidemiological Studies … 38
• Types of Observational Studies … 39
• Sources of Error: Biases and Confounders … 40
• Capabilities and Challenges … 41
• Individual, Group, and Population … 42
• Summary … 43
5 Purposely Biased Science: Epidemiology and Vaccine Safety … 44
• Back to the 1990s … 45
• Epidemiology to the Rescue … 46
• Opportunistic Retrospective Observational Studies … 47
• The Pure Science Myth … 48
• Establishment-Serving Vaccine Science … 49
• Institutionalized Research Falsification … 50
• Five “Doctored” Vaccine Studies … 51
• Madsen 2002: MMR Vaccine and Autism … 52
• DeStefano 2013: Vaccine Antigens and Autism … 53
• Grimaldi 2014: Gardasil and Autoimmune Injury … 54
• McKeever 2004: Vaccines and Allergic Disease … 55
• Fombonne 2006: MMR Vaccine and Autism … 56
• Medical Journals and Peer Review … 57
• Counter Arguments … 58
• Summary … 59
6 The Studies That Will Never Be Done … 60
• Vaccinated vs. Unvaccinated (VU) Studies … 61
• Overall Health Study: Vaccinated vs. Unvaccinated … 62
• The Establishment Avoids Conducting VU Studies … 63
• The IOM 2013 Report … 64
• Formal Admission … 65
• Is It Really Impossible to Conduct VU Studies? … 66
• What to Investigate, Then? The Parents… … 67
• Evermore Studying What to Study … 68
• Will Never Be Done: The Real Reason … 69
• Counter Arguments … 70
• Summary … 71
7 Unsubstantiated Vaccination Guidelines … 72
• Multiple Vaccines in a Single Visit … 73
• Untested Vaccine Combinations … 74
• Spacing Out Vaccinations … 75
• The Shneyer 2009 Study … 76
• 10,000 Vaccines in One Day … 77
• Vaccinating a Baby with a Mild Illness … 78
• Counter Arguments … 79
• Summary … 80
Part II: Founding Myths … 81
8 The Disappearance of Disease … 82
• The Decline in Infectious Disease Mortality … 83
• The Decline in Infectious Disease Morbidity … 84
• Real Reasons for the Decline in Infectious Disease … 85
• An Open Secret: The Real Contribution of Vaccines … 86
• The Rise of Chronic Disease in Children … 87
• Chronic Illness vs. Infectious Disease … 88
• A State of Emergency … 89
• Counter Arguments … 90
• Summary … 91
9 Herd Immunity … 92
• What is Herd Immunity? … 93
• Natural Immunity … 94
• Herd Immunity and Disease Eradication … 95
• Herd Immunity and Vaccination Policy … 96
• The Moral Basis for Mandatory Vaccination … 97
• Theoretical Model and Practical Application … 98
• Herd Immunity and Routine Vaccinations … 99
• Tetanus Vaccine … 100
• Polio Vaccine … 101
• Pertussis (Whooping Cough) Vaccine … 102
• Diphtheria Vaccine … 103
• Influenza Vaccine … 104
• Hepatitis A Vaccine … 105
• Hepatitis B Vaccine … 106
• Rotavirus Vaccine … 107
• Pneumococcal Vaccine … 108
• Hib Vaccine … 109
• Varicella (Chickenpox) Vaccine … 110
• Rubella Vaccine … 111
• Mumps Vaccine … 112
• Measles Vaccine … 113
• Routine Vaccines and Herd Immunity: A Summary … 114
• Counter Arguments … 115
• Summary … 116
10 The Mysteries of Polio … 117
• Polio’s Story: The Concise Institutional Version … 118
• Unsolved Mysteries … 119
• Polio Takes the Stage … 120
• The “Improved Hygiene” Theory of Polio … 121
• The Improved Hygiene Theory vs. Reality … 122
• Improved Hygiene and Polio in the Third World … 123
• Polio-like Illnesses … 124
• An Alternative Explanation: Pesticides … 125
• Infectious Disease? Contagious Disease? … 126
• The Healthy Carrier: Wickman’s Discovery … 127
• Landsteiner’s Virus … 128
• Polio in Domestic Animals … 129
• Polio and Pesticides … 130
• Polio Outbreak Patterns: Four More Mysteries … 131
• Unexplained Surge: Polio Post-WWII … 132
• DDT … 133
• Dr. Biskind Goes into Battle … 134
• Interim Summary: Polio in the Early 1950s … 135
• The Salk Polio Vaccine … 136
• The Polio Vaccine: A Prior Morbidity Decline … 137
• The Polio Vaccine: Doubtful Efficacy … 138
• Echovirus, Coxsackievirus, and No-Virus … 139
• Salk Vaccine: Cannot Prevent Spread of Virus … 140
• The Cutter Incident: A Turning Point … 141
• Polio and Pesticides: A Re-evaluation … 142
• Polio in the Developing World … 143
• One Up, One Down: Polio and AFP in the 3rd World … 144
• Nineteen Polio Mysteries … 145
• Summary … 146
11 The Vaccine Hoax … 147
• Book Summary … 148
• If Vaccines Were Safe … 149
• Institutionalized Fraud … 150
• The Third Level of the Discussion … 151
• Medical Tyranny: Shutting Down Criticism … 152
• The Vaccine Judgment of King Solomon … 154
• Real Science and Vaccine “Science” … 154
In January of 2020, the world began hearing rumors that a deadly virus was wreaking havoc in Wuhan, China. Shortly thereafter the virus made its way around the globe, causing the most pernicious pandemic since the influenza pandemic of the early 20th century, over 100 years earlier.
Governments around the globe invested heavily in the development of vaccines they hoped would relegate the disease named COVID-19 to a historical footnote. The FDA fast-tracked these vaccines, skipping large segments of the usual testing process before authorizing several different brands for emergency use in early 2021. Some of the new products, including those sold by Pfizer and Moderna, used technology never before applied to vaccines: Messenger RNA (mRNA) temporarily hijacks cells in the recipient’s body, forcing them to make the “spike” proteins that enable the SARS-CoV-2 virus to invade human cells.
Why would vaccinologists want the body to make the most problematic protein of a noxious virus? The intent was to provoke production of antibodies that would selectively bind to the spike protein, neutralizing the virus whenever it was encountered and rendering it harmless to human cells.
Never has vaccine development been followed so intently by the general public as it has for COVID vaccines. Suddenly, people who had never exhibited any prior interest in vaccine science or technology began debating the relative merits of the novel mRNA technology over conventional live-virus vaccines and dissecting the formal stages of the vaccine approval process. Many, including some well-known vaccine proponents, expressed concern and skepticism about the safety and/or effectiveness of the rushed COVID vaccines.
Despite purportedly putting science in the driver’s seat, governments and health authorities in the US and around the world enacted COVID policies that were, more often than not, anything but science-driven. This was especially true when it came to the vaccines.
Some of the most egregious actions health agencies and pharmaceutical companies collaborated on during the testing of COVID vaccines include
- Rushing to market vaccines that were insufficiently tested in clinical trials.
- Concealing and withholding crucial clinical trial data from the medical community and the public.
- Recommending vaccination of vulnerable subpopulations (pregnant women, children) although the vaccines were not adequately tested in these groups.
When it comes to monitoring the safety of COVID vaccines the same parties have been guilty of the following:
- Employing superficial and inadequate monitoring of post-marketing vaccine adverse events.
- Dismissing post-vaccination injuries out of hand as “unrelated to the vaccine”.
- Providing no tools for medical personnel to identify, diagnose, or treat vaccine injury.
- Discouraging doctors from reporting vaccine injury.
- Sponsoring virtually no science seriously investigating reported vaccine injuries.
With respect to public discussion of COVID policies in general and vaccine policies in particular, these agencies and corporations colluded with mainstream media and social media moguls to
- De-legitimize criticism and open debate, labeling critique from senior scientists, doctors and the public as “misinformation” or “anti-science”.
- Promote the false notion that COVID vaccines provide herd immunity in order to pressure the public into vaccinating “to protect others”.
- Initiate, publish, and promote bad science to support the lucrative vaccine agenda.
- Artificially inflate the market for COVID vaccines by smearing and banning safe and effective, over-the-counter medications (such as ivermectin and hydroxychloroquine).
Seeing how ineffectively and dishonestly the COVID pandemic was handled (particularly in the US, which fared worse than any other country but Brazil), many people around the world grew disillusioned with their governments and health agencies. At this point, however, most of the disillusioned restrict their criticism to the mishandling of the COVID crisis, and relatively few extend their critical analysis to vaccines in general, or to the childhood vaccines. Perhaps the majority are unaware of the grim broader reality of vaccine science or they fear being labeled “anti-vaxxers” (which would be understandable, as that epithet is thrown at anyone who dares question any aspect of vaccine dogma). Even now, in 2022, after all that has transpired in the last two years, vaccines are still the “sacred cow” of medicine that should always be defended and never doubted.
But is such reserve justified? Was COVID just a one-off, with the all-encompassing folly we have witnessed born of the need to do something and to do it quickly? Or did governments and their health agencies simply take their modus operandi to extremes in order to exploit a worldwide health crisis to advance their agenda and benefit their collaborators?
In the wake of the COVID fiasco, it is time for a deeper look down the larger vaccine rabbit hole: Are childhood vaccines so different from COVID vaccines?
Are they safer? Were they tested any better? Are their injuries better documented and investigated? Are medical professionals (or anyone else) allowed to question them any more than they were allowed to question COVID vaccines? And the most important question of all: Can we entrust our babies to vaccines produced, tested, and marketed by the same agencies and corporations, doctors and government officials, researchers and high-tech moguls that failed us so miserably over the last two years?
You are now holding the book that answers all those questions, and answers them definitively. This book dissects the CDC’s recommended childhood schedule with respect to the issues I highlighted above: the clinical trials, adverse event reporting, recognizing and treating vaccine injuries, vaccination recommendations that are not supported by science, science censored and contorted to support the vaccine agenda, mainstream media vaccine propaganda, and more. Throw in a thorough rebuttal of three foundational vaccination myths, and there you have it – everything you ever needed to know about vaccines, but were afraid to ask.
Turtles All the Way Down: Vaccine Science and Myth was first published in Israel in early 2019. Later that year, it set a worldwide precedent for a vaccine-critical book when a mainstream medical journal published a positive review of it. The article in the September 2019 issue of Harefuah (“Medicine”), the leading medical journal in Israel, was authored by a pair of senior academic criminologists, Nati Ronel and Eti Elisha. To the dismay of the Israeli medical establishment, Ronel and Elisha “found the book to be well written, serious, scientific and important”, offering “a comprehensive view of the issue.” Though heavily criticized by some vaccine doctors as “only” criminologists who should stay in their lane, their appraisal of the book still stands today, unscathed: In the three years since its (Hebrew) publication, no medical or medical science professional has succeeded in refuting the book’s claims. Unable to demonstrate that the book or its Harefuah review actually contained any errors, critics – doctors as well as lay people – chose instead to target the review’s authors. The fierce personal attack on Ronel and Elisha for merely reviewing the book served to illustrate one of the major points in their article, that the science and medical establishment resorts to aggressive personal attacks to cover-up inconvenient truth: “It appears that science and medicine are becoming hostile to criticism in ways that are historically associated with the violence of fundamental religious orthodoxy or even inquisition committees similar to those of the Middle Ages.
They are convinced they know the ‘truth’ and reject every attempt to question this ‘truth’ as heresy.”
One academic, Daniel Mishori, Ph.D., a senior faculty member specializing in ethics and philosophy at the Department of Environmental Science at Tel Aviv University, was so disturbed by the lack of discussion of the book’s arguments that he offered a cash prize ($4,000 donated to the hospital ward of choice) to anyone who could refute them. Since Turtles is over 500 pages and contains more than 1,200 references, Mishori declared he would settle for a proper rebuttal to the harsh conclusions drawn in the first chapter of the book.
To this day no one has been able to meet his “Turtles challenge.”
Clearly, the main reason no one has been able to refute the book’s arguments thus far is that the authors made a very conscious effort to rely exclusively on publications available from “kosher” sources such as mainstream scientific journals and leading government agencies (CDC, FDA, WHO, etc.). The book contains virtually no references to studies, articles, or even quotes by anyone who has been painted as an “anti-vaxxer” by the media at any time, regardless of their quality or scientific validity. Thus, it has proved impossible, until now at least, for even the most venerated vaccine experts to refute conclusions that were based upon savvy and accurate analysis of scientifically sanctioned sources.
You may have noticed this book does not list an author. That is because the book’s authors have chosen to remain anonymous, and they have some good reasons for doing so. If you’re already familiar with the vaccine debate, you are probably aware that whenever someone questions any part of the official narrative surrounding vaccines, no matter how minor the point or reasonable the argument, that person is immediately attacked – to the point that well known, dedicated scientists in numerous countries have lost their careers for challenging vaccine dogma. The authors of Turtles are from Israel, a small country where, if someone were deemed enough of a threat to the powers that be, it would be quite simple to make their lives, as well as those of their family members, a living nightmare. This abysmal state of affairs was not lost on Ronel and Elisha, who found it disturbing that such a worthy scientific book had to be published anonymously, noting “The fact that the authors chose anonymity invokes criminological questions on the decision making processes by the medical establishment and on the issue of medical ethics surrounding the heated debate over vaccines.”
Another good reason the authors chose anonymity, and perhaps the more important one from your perspective as a reader, is to “immunize” the book against ad hominem attacks, a favorite tactic employed by the pharmaceutical industry and the medical establishment. When they can’t disprove an argument scientifically, vaccine loyalists typically resort to personal attacks against the people making it, following the notorious PR motto of “smear the authors – kill the book.” However, this “shoot the messenger” tactic only works if there is someone to shoot. Thus, Turtles’ authors artfully disarmed their antagonists, taking the smear campaign option off the table.
Personally, I sympathize with the authors and fully understand their motives. I have witnessed many smear campaigns targeting advocates of vaccine safety. One noteworthy example is my colleague Robert F. Kennedy, who was a well-known environmental lawyer, when he looked into the long-term negative effects of repeatedly injecting mercury into infants’ bodies. Before he published Thimerosal: Let the Science Speak, about a mercury-based preservative that was present in many childhood vaccines until someone in the FDA actually added up how much mercury infants were receiving, his media connections made it easy to get on television to talk about whatever he wanted. He could present the dangers of environmental mercury in any other context and the media would cheer him on, but mention the word vaccines and suddenly no one in mainstream media wanted anything to do with him. Despite the fact that he made it clear he was steadfastly in favor of vaccines as long as they weren’t laced with a neurotoxic metal, he was increasingly vilified in the media, called everything from “anti-vaxxer” to “crazy and dangerous.” But if his arguments were simply misinformation,” as the media implies, why would they need a smear campaign? Wouldn’t it be better from their point of view to invite him to a public debate where their hand-picked “experts” could crush him into a fine powder? When it comes to Turtles, a scholarly analysis with no author to attack, the so-called experts’ only options are to debate the book’s content or be silent.
While character assassination can be an effective public relations strategy, it has no place in the search for scientific truth. When it comes to science, it shouldn’t matter who is making the argument. All that should matter is whether or not the argument is valid. In other words, good arguments should stand – or not – on their own merits, not on the credentials or popularity of the person making the argument. Albert Einstein was a patent clerk when he published the Theory of Relativity, but his dull job and lack of academic standing obviously didn’t stop him from having brilliant insights in physics. If the more established scientists of his day were allowed to shout down his theory because its originator lacked credentials, science would have lost one of its brightest lights.
The information on vaccine science contained in this magnificent book is far too important to be allowed to be co-opted in this way. Our children’s lives depend on getting this right. The authors of Turtles don’t want you to take their word for anything. They want you to read the arguments in this book and verify the references and quotes they are based on (which the authors went out of their way to make accessible). And they want you to think about what you read – not about who wrote it. In this day and age, it seems that the only way to keep the focus on what is said in a vaccine-critical book, and not on who is saying it, is to say it anonymously.
So that is what they did.
With that, I challenge every physician and scientist to read Turtles All the Way Down: Vaccine Science and Myth and make your best effort to shoot holes in the arguments it makes. I suspect that for the vast majority it will be an eye-opening experience. If you choose not to take the challenge because you don’t have the guts, then you have no place in the vaccine debate. In other words, speak now or forever hold your peace.
“I can only show you the door. You’re the one that has to walk through it.”
If you are reading this introduction, we can safely assume that you are aware, at least to some extent, of the controversy surrounding vaccines. On one side of this prominent public debate stands the health establishment with its many representatives repeatedly assuring us that vaccines are safe and effective.
Opposing them is a large and growing group of parents claiming that vaccines can, and do, cause severe side effects, and even their efficacy is exaggerated.
Due to the inherent complexity of its underlying subject, the vaccine debate challenges medical professionals and scientists alike – and, to an even greater extent, the average parent. In order to attain even a moderate level of expertise on this topic, one needs to have at least a basic understanding of numerous and varied medical and scientific disciplines, which are described and noted in parentheses below.
To begin with, one has to have a good grasp of vaccine-preventable diseases (expertise in infectious diseases). Some of these illnesses are specific to infants and children (expertise in pediatrics), while others are common to all age groups (family medicine). Next, one has to understand how vaccines for these diseases are developed (vaccinology): First, one must identify the causative agent (pathogen) – typically a bacterium (bacteriology) or a virus (virology) – and study its interaction with the body’s immune system (immunology).
Furthermore, researchers need to investigate the pattern of disease in various populations and how a vaccine may affect disease dissemination and severity (epidemiology).
Along with any potential health benefits, vaccines are also liable to have undesirable side effects. Vaccines are composed of a multitude of diverse biological and chemical compounds, some of which are considered toxic (toxicology). To diagnose adverse side effects, assess their severity, and find suitable treatments, one needs considerable knowledge of clinical medicine, with the specific fields depending on which organs are affected and the level of harm sustained (neurology, gastroenterology, dermatology, allergology, rheumatology, autoimmune diseases, etc.)
The above is by no means an exhaustive list. Vitally important aspects of the vaccine debate lie outside the domain of medical science, and one must also devote time to those as well in order to truly understand this complex issue. One must learn how vaccine research is conducted and vaccine policy is formed in the real world – where power, money, and politics shape the rules. Vaccines are manufactured by corporations intent on maximizing their profits. As is the case for every other business sector, vaccine company executives are first and foremost obligated to their shareholders, rather than to the health and well-being of the general public. Licensing, regulation, and marketing of vaccines are all carried out by governmental entities, which are influenced by political and financial considerations. Supposedly objective and impartial, scientific research dedicated to vaccines and vaccination practices is mostly funded by these same governmental entities and vaccine manufacturers whose considerations and interests may be at odds with the interests of the general public.
Vaccine research is published in scientific and medical journals which are, in every sense, also commercial enterprises endeavoring to maximize profits for their shareholders. Physicians and researchers working in the field of vaccines (or related areas) operate inside a confined system with strict rules, both formal and informal, that limit their freedom of investigation and expression. Media coverage of vaccines is also not immune to bias and conflicts of interest. Media outlets have financial relationships with some of the entities mentioned above, and these relationships shape their reporting on the subject of vaccination.
Legal and constitutional matters, especially with regard to severe vaccine side effects, occasionally crop up in courts across the globe. And ethical questions arise from legislative initiatives to compel immunization by law. Every one of these aspects (and this is still just a partial list) is an essential piece of the intricate tapestry that is the world of vaccines. It is impossible to grasp the whole picture without understanding how each of its diverse parts fits into it.
Thus, some knowledge in all the aforementioned academic and non-academic disciplines is required if one is to gain a comprehensive understanding of all the issues surrounding vaccines. Vaccination, then, has to be one of the most complex issues – if not the most complex – to be publicly debated over the last few decades. It’s safe to assume there isn’t a single person on Earth with expertise in all of these fields, even among those celebrated as “experts” on vaccination and those responsible for shaping vaccine policy. Despite the extreme complexity of this wide-ranging topic, at the end of the day it is you, the parents, who have to make vaccination decisions: Get vaccinated or not? Vaccinate your children or not? Vaccinate on schedule or space them out? Skip some of the shots or get them all?
Like everyone else nowadays, when you need information in order to make important decisions, you go to the Web, launch Google, and type in some relevant search terms, hoping the results will help you make an informed decision. But after surfing the Web in search of the answer to the to-vaccinate-or-not-to-vaccinate dilemma, you realize in short order that nailing this one will be anything but easy. A vaccine war is raging out there: Proponents and critics, parents and doctors, authorities and executives – all are stirring an enormous cauldron of… controversy soup. You’ll find a dizzying variety of material – photographs, videos, testimony, articles, quotes, opinions, arguments, explanations, proofs, and rebuttals – an endless assortment of information, interpretations, and conflicting opinions being published 24/7. And, as you delve deeper, it just gets more and more confusing.
So, where do you start? How do you put all this chaos in some kind of order? How do you collate all the seemingly random pieces of information floating around the Web into a logical and coherent mental image? How do you reconcile the contradictions between the different positions? Do you really have to spend years diligently reading in WhatsApp or Facebook groups and carefully analyzing multitudes of scientific papers in order to make decisions about a procedure that, up until a few years ago, wasn’t questioned by the vast majority of parents? Is it even possible to make informed decisions without proper medical training? And who should one believe – the parents who warn against the harms vaccinations inflicted upon their children or public health experts staunchly asserting that vaccines are proven safe and effective?
Who in heaven’s name is right?! Come on, we have to make this @#$& decision!
Take a breath. You can relax. You have come to the right place.
After spending a few days reading this book, your question – Who is right? – will be answered. The answer to this question that troubles millions of parents around the world is out there, its pieces scattered across hundreds of cyberspace locations – visible to all, yet hidden in plain sight for the vast majority of the public.
The purpose of this book is to reveal that answer and shine a spotlight on it for everyone to see.
This book is intended, first and foremost, for parents, those who are taking their first steps into the confusing world of vaccines and those who want to deepen their understanding of the field. Please note: This book does not provide comprehensive information regarding vaccine-preventable diseases, nor does it directly discuss questions concerning vaccination, such as Should I vaccinate? Which vaccines should I give? and When should I vaccinate? Instead, the book focuses on decisively answering the all-important question at hand: Who is right in the vaccine debate – vaccine proponents or their opponents?
In addition to parents, the book is intended for medical professionals, as well as medical researchers, who are interested in approaching the hot topic of vaccines from an unconventional, non-dogmatic, perspective. (Pro tip: You might want to think twice before taking this book to the office.)
Finally, the book is also intended for all those professionals whose work sometimes touches on vaccine-related topics – reporters, politicians, government officials, lawyers, teachers, social workers, therapists – and anyone else who cares about the health of their country, most notably, its children.
The book is replete with citations and references backing up its claims. The referenced documents are drawn almost entirely from mainstream sources, with a handful of exceptions. These sources include medical journals, publications and websites of health authorities (such as the US Centers for Disease Control and Prevention and the World Health Organization), vaccine manufacturers’ publications, news stories and articles from mainstream media, and history and science books.
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(1437 is the actual number of footnotes/references)
References are marked in the body of the text by a superscript number (like1437). For each reference, the exact quote to which the text refers is provided (if possible or relevant), including the page number (if applicable), the document name, its main author, year of publication, and a link to the original text on the internet.[a] Since there are more than 1,200 references, in order to reduce costs and avoid unnecessary waste of resources, we chose not to include a “References” section in the printed version of the book. An electronic PDF document that includes all the references, arranged by chapter, can be downloaded for free from the internet (see the link and QR code on the book’s back cover or first pages). For convenient access to the references while reading, we recommended that you read the book with your favorite screen display by your side and the reference document open to your current chapter. (not necessary with this edition, as stated above, all references and footnotes are placed on the same page)
Whether you are a medical professional, medical science researcher, or a parent who wants to make the best choices for your child’s health, we urge you to spend some time browsing through the references, at least reading the specific quotes the text alludes to or cites. In addition, we encourage you to read as many of the original documents as you can. Since it is unlikely that you’ll have enough spare time to fully explore all the book’s references, we advise starting with those references that apply to any claims that seem particularly far-fetched to you. For each such reference, you might want to verify where it was published and who its authors are, making sure that the quotations used are accurate and that they faithfully represent the spirit of the original document (that is, are not taken out of context). Moreover, you are more than welcome to challenge your contacts in the medical profession – your family doctor, pediatrician, friends working in medical sciences, etc. – with the claims made in this book (making sure to attach the relevant references). Ask them to provide you with evidence that contradicts the book’s assertions, but make sure they cite proper references from credible sources.
In addition to numbered references, the book also includes footnotes, denoted by superscripts of lower-case English letters ([a], [b], [c]…), that usually provide a little more detail. Like the references, you can find the footnotes at the right margin of the page where each appears.
There are two possible answers to the central question in this book. If the answer is the one you’d expect, that vaccine authorities are right, you will just go on with your week somewhat better informed. If, on the other hand, the answer is that the parents are right, the earth beneath your feet may start to tremble.
Thus, you are now standing on the verge of an intellectual adventure that has the potential to violently rock your world. Once you pass through the gate, there will be no going back. You won’t be able to “un-know” what you already know.
If you choose to continue reading, you will have to gather the courage required for a journey to the other side of reality, courage to face new facts and examine them objectively, courage to ask hard questions when you are expected to merely obey, and courage to stand your ground in the face of pressure from family, friends, doctors, government officials, and what will probably feel like everyone else.
If you aren’t brave enough to get through this book, you might want to put it down, at least for now. Give it to someone else that you think is ready for the challenge. Come back to it in the future, when the time is right.
If, however, you choose to accompany us on this journey, you might want to make yourself a cup of coffee, get a smartphone or tablet and download the reference document so you have it next to you, and get comfy before we embark on our odyssey to the godforsaken corners of the vaccine version of Wonderland, where nothing is quite as it seems.
Turtles All The Way Down: Vaccine Science and Myth
Editors: Zoey O’Toole – Mary Holland
Copyright © 2022 by the Authors
All rights reserved. No part of this book may be reproduced in any manner without the express written consent of the authors, except in the case of brief excerpts in critical reviews or articles.
The print book may be purchased in bulk.
Contact the publisher:
Download the Book’s References Document (PDF): https://tinyurl.com/TurtlesBookEngRef
To MS, GK, and HB
To Asura
Vaccine safety lies at the heart of the public debate on vaccines. Although prominent in many discussions, vaccine efficacy is only of secondary importance. The chief motivation driving vaccine-awareness advocates is the conviction that vaccination causes serious health harms in some recipients, and that this grim truth is largely concealed from the public. Had vaccines been perceived as completely safe, like health authorities claim, the animated public debate about them would never have gained traction. A vaccine with side effects that are mild and transient, that only causes serious or permanent damage extremely rarely (the proverbial “one in a million”), is unlikely to make any parent climb a virtual soapbox and preach to the cyber masses – even if its efficacy is less than ideal.
The public entities that promote vaccines – health authorities, physicians, researchers, medical societies and organizations – all echo a unified message: Vaccines have been tested more than any other medical intervention and are completely safe. This categorical claim, however, stands in stark contrast to the firsthand experience of thousands of parents who insist that their children suffered serious vaccine-related health harms. With the exception of a very small number of cases compensated by the government, the health establishment’s response to parental claims of vaccine injury is utter dismissal and complete denial. Parents are told that they got it all wrong, that their child couldn’t have been harmed by vaccination. Any temporal association between vaccine administration and subsequent deterioration in health is merely an unfortunate coincidence. The safety of each vaccine, they are told, was thoroughly vetted before it received marketing approval and is constantly monitored thereafter.
Science has spoken – and science must prevail. Any negative impressions about vaccines are false and should be discarded; any misgivings should be put to rest.
Vaccines are safe! Vaccines are effective!
The medical establishment’s claim that [all] vaccines are completely safe is based on activity in three distinct domains: a) clinical trials every new vaccine must undergo before it is approved for general use; b) computerized vaccine adverse event reporting systems that monitor post-marketing vaccine safety on an ongoing basis, and c) ad hoc epidemiological (population) studies that explore various aspects of vaccine safety. All of these will be scrutinized in the chapters that follow.
The first part of the book will thus explore the critical question of vaccine safety, examining in detail the institutional claims that vaccines are extremely safe and that their safety has been established by rock-solid science.
According to a well-known story in the scientific community, an elderly woman approached a famous scientist shortly after he concluded his lecture on cosmology and the structure of the solar system:
“Your beautiful theory about the earth being round, and rotating around the sun, is very interesting, young man. Unfortunately, it is also very wrong. I have a better theory,” the woman told him.
“And what would that theory be, madam?” the scientist responded.
“Well, what you call ‘planet Earth’ is not round at all. Actually, it is kind of a large, flat disk that rests on the shoulders of four giant elephants.”
“And what do these four elephants stand on?” the scientist inquired.
“They stand on the back of a giant turtle,” the elderly woman answered.
“And what does that turtle stand on?” the scientist asked with an inquisitive grin.
“On another, bigger, turtle.”
“And what does the second turtle stand on?”
“Well, my dear man,” said the elderly woman with a victorious smile, “it’s turtles all the way down!”
Even today, approximately 150 years after it first appeared, the story of the scientist, the elderly woman, and the turtles remains quite popular in scientific circles. Its appeal appears to be due not only to the paradoxical punchline, but also to the way it portrays the relationship between scientists and laypeople: On the one hand, the wise scientist, rational and calm, and on the other the simple-minded elderly woman confusing scientific knowledge and reality with myth. By emphasizing the wide intellectual chasm between expert and layperson, this amusing anecdote reinforces scientists’ deep-seated expectation that science be unanimously recognized as the arbiter of objective Truth. Standing on their high pedestal, scientists, at least in their own eyes, are both worthy and capable of making final judgments on matters of public interest related to their expertise.
This paternalistic tendency is evident in long-standing attempts by scientific and medical entities to portray the public conversation on vaccines as a lopsided dispute. On one side of the debate, we are told, stand doctors and researchers who draw their moral authority from years of academic training and work experience and whose arguments are backed by solid scientific evidence and validated by the medical establishment worldwide. On the other side, they tell us, stand a multitude of parents and activists, who lack formal training, follow charlatans and quack doctors, and feed on fake news spread through social media.
Yet, as will become clear in the following pages, the surprising truth – which becomes self-evident when one devotes enough time and energy to researching vaccines – is that the roles are reversed: The elderly woman (the parents in this case) anchors her claims on bedrock science and displays a deep understanding of scientific methodology, while the medical establishment bases its position on… “turtles all the way down”.
Vaccine safety lies at the heart of the long-lasting and intense clash between those that support universal vaccination and those that oppose it. Health authorities’ argument that Vaccines are safe! is based, first and foremost, on the presumption that each new vaccine undergoes a meticulous process of testing and approval. This process includes a series of clinical trials, which purportedly utilize the most advanced scientific tools and techniques available and adhere to the highest safety standards. Once a new vaccine successfully passes these hurdles, it is considered safe by all relevant medical bodies.
This chapter, then, examines the methodology used for testing vaccines’ safety as part of their pre-licensing approval process. Are new vaccines really rigorously scrutinized, as the public is routinely promised, in keeping with an uncompromising commitment to the highest possible safety standards?
Not only is the answer a flat “no”, by the end of this chapter you will learn the inconceivable secret the medical establishment has concealed from the public eye for decades: Clinical trials of vaccines are rigged to hide their true (and high) rate of side effects, which means the medical establishment’s longstanding claim that vaccines are safe has no scientific merit.
It sounds improbable, doesn’t it? Impossible to believe!
By the time you finish reading this chapter you will know it’s true.
Before we explore the methods employed by medical authorities to conceal vaccines’ inadequate safety testing, we must familiarize ourselves with their pre-licensing approval process and its principal tool – the randomized controlled trial. Armed with this knowledge, we can then peel off, one by one, the protective layers that enfold the hidden, abhorrent, and nearly unbelievable truth.
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Website: FDA website
http://www.fda.gov/biologicsbloodvaccines/developmentap provalprocess/biologicslicenseapplicationsblaprocess/ucm133096.htm
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Archive:
http://archive.is/eyQNd
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Page Name: Inside Clinical Trials: Testing Medical Products in People
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Website: FDA website
http://www.fda.gov/Drugs/ResourcesForYou/Consumers/ucm143531.htm
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Archive:
https://web.archive.org/web/20180825175113/https://www.fda.gov/Drugs/ResourcesForYou/Consumers/ucm143531.htm
Medical “biologics” (such as vaccines) undergo a lengthy and tedious approval process, replete with bureaucratic forms, documents, and reviews. The process is determined by the authorizing body – most commonly the US Food and Drug Administration (FDA) or the European Medicines Agency (EMA) – and includes, in addition to endless paperwork, a requirement to conduct a series of clinical trials[b] that demonstrate the effectiveness and safety of the product submitted for approval. This required series of clinical trials is divided into three phases, with each phase commencing only when and if the preceding phase has been successfully concluded. If the product does not prove safe or effective in any one of the phases, it will not win the coveted approval. Consequently, its development is likely to terminate, and the (usually considerable) funds invested in it will go down the drain.1
The first hurdle a new vaccine must leap is the “pre-clinical phase”, in which the product goes through a multitude of laboratory[c] and animal experiments.
http://www.ich.org/fileadmin/Public_Web_Site/ICH_Products/Guidelines/Efficacy/E10/Step4/E10_Guideline.pdf
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Author/Year: ICH Expert Working Group, 2008
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Archive:
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P 28:
It should be appreciated, however, that subjects receiving a new treatment are not receiving standard therapy (just as a placebo control group is not) and may be receiving an ineffective or harmful drug.
The next step in the series is a Phase 1 Clinical Trial, in which a small trial group (typically dozens of subjects) is given the new vaccine in order to determine how the human body responds to it. The underlying assumption is that, despite its success in animal experiments during the pre-clinical phase, the vaccine could still prove to be harmful to humans.2 Therefore, in this stage, researchers attempt to identify particularly salient or severe side effects, such as severe allergic reactions, disability, early symptoms of a chronic problem, severe illness, or death. Due to the limited number of subjects, a Phase 1 trial cannot provide a complete picture of the extent and variety of side effects (adverse events) that could potentially be caused by the vaccine.
If the vaccine successfully passes Phase 1, the next experimental phase – the Phase 2 Clinical Trial – is performed on a larger group, typically several hundred people, and the vaccine’s effectiveness is evaluated in its designated population (e.g., adults over 65 or diabetic patients under 18). This stage is also when the effects of varying the vaccine’s dosage and delivery timing on efficacy and safety are examined. However, the absence of a control group (see the Randomized Controlled Trial section below) and the relatively small number of subjects in Phase 2 trials, preclude the attainment of definite or final answers regarding the vaccine’s efficacy and safety. Those await the next testing phase.
Phase 3 Clinical Trials are conducted in several thousand subjects, sometimes even tens of thousands. These trials are designed to assess and validate the vaccine’s effectiveness, to compare the new treatment with existing treatments (if any), and to collect information that will allow the vaccine to be used safely. This is the final experimental phase before the approval for commercial use, and it is of paramount importance in determining the efficacy and safety of the experimental vaccine. Phase 3 results will be published in the manufacturer’s package insert and will serve as key evidence for the vaccine’s safety and efficacy for years to come.
Subjects in a Phase 3 trial are randomly divided into one of two groups: the trial group, which receives the test vaccine over a specified period of time, and the control group, which receives a placebo (dummy) or some other compound (see the detailed explanation in the next section). Throughout the study period, researchers monitor trial participants’ health and collect information that will be used to evaluate the vaccine’s efficacy and safety. The large quantity of subjects, as well as their separation into trial and control groups, affords a deeper probe into the vaccine’s safety and its potential side effects, including those that occur relatively infrequently (i.e. one case in hundreds or thousands of subjects).
Successful completion of a Phase 3 trial paves the way for the long-awaited approval for commercial production and marketing of the new vaccine. However, even after the vaccine has been in general use for a while, additional trials are sometimes called for. These “post-marketing” trials may be required to investigate unexpected adverse events reported after licensing or negative effects that have emerged in a specific population segment. This type of trial is called a Phase 4 Clinical Trial.
Date: Aug 14, 2014
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Website: Reuters
http://www.reuters.com/article/us-pfizer-prevnar-idUSKBN0GD23I20140813
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Archive:
http://archive.is/RfO2H
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For instance:
(Reuters) - An influential U.S. medical advisory panel on Wednesday recommended that people 65 and older be given Pfizer Inc’s blockbuster Prevnar 13 vaccine to protect against pneumococcal bacteria that can cause pneumonia and other infections.
[…]
Prevnar 13 and an older version of the vaccine known as Prevnar 7 have combined annual sales of almost $4.5 billion, making them Pfizer’s second-biggest franchise. Prevnar 13 is approved for children 6 weeks through 17 years of age, and for adults 50 and older.
As mentioned above, after the vaccine successfully passes Phase 3 trials, the doors open for commercial use. However, for new vaccines, receiving approval from the authorizing body is not sufficient. The product must also receive the approval of the authority responsible for distribution of vaccines. In the US, the FDA is in charge of licensing new vaccines, while the Centers for Disease Control and Prevention (CDC) is responsible for making recommendations for their actual use, including who should receive them (their ages and health status), the timing and number of doses to be received, and which vaccines can be given concurrently. The final step in the long process of marketing a new vaccine is its integration into the national vaccine programs of the US and other countries around the globe. Adding a vaccine to the American schedule recommended by the CDC instantly guarantees sales of millions of units per year in the US alone, thus assuring its manufacturer a handsome return on its initial investment.3
In a “simple” vaccine clinical trial (one without a control group, as is the case for trials in Phases 1 and 2), researchers face an inherent difficulty in determining whether a specific condition reported during the trial period is actually caused by the experimental compound or not. If a trial subject experiences a severe and immediate phenomenon following the receipt of the test vaccine, such as fainting or cardiac arrest, it could be reasonably assumed that the recently consumed vaccine was the culprit. When the side effect is less pronounced, or appears days or weeks following vaccine administration, however, the researchers’ decision is less obvious. For example, if the subject’s temperature rises to 103°F less than 48 hours after administration of the test vaccine, the researchers do not have enough information to decide whether this is a true side effect or merely an unfortunate coincidence. One option is to have every participant who experiences a health-related condition during the trial undergo a series of in-depth medical examinations in order to uncover possible links to the experimental vaccine. This strategy is not feasible or economical, however, if only because the vaccine is new and its specific effect on the human body is virtually unknown. Consequently, such an investigation could prove lengthy, costly, and unlikely to yield conclusive results.
A better option is to conduct an “enhanced” clinical trial – a controlled, randomized, and blinded trial (also known as a randomized controlled trial – RCT). In an RCT, subjects are divided into two groups:[d] the trial group, receiving the test compound, and a control group, receiving a dummy or existing compound (whose efficacy and safety profile is well known). Subjects are randomly assigned to the two groups prior to the start of the trial to ensure that the groups are virtually alike in every relevant characteristic (age, gender, area of residence, demographic status, and so on). The term blinded (or blinding), means that the trial subjects do not know which group they are in and thus do not know whether they received the test or dummy compound. In a double blind trial, the researchers also do not know which subjects belong to which group. Thus, prior knowledge of which compound a participant received is not likely to influence either subjects or researchers and skew the results of the trial. In a non-blinded trial, subjects who receive the test compound, rather than the dummy one, may complain more about side effects, since they expect them to occur.[e] Similarly, a researcher who knows a particular subject belongs to the control group also knows that any reported side effects are not due to the vaccine and may inadvertently (subconsciously) underreport medical conditions occurring during the trial period. Only when the trial is over, after all relevant information has been collected, is the specific compound administered to each of the study subjects revealed, and the researchers, with the complete data in hand, can begin the post-clinical data analysis.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4157320/
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Archive:
https://drive.google.com/open?id=1mX3RrTo-Jq6eEC-H_S1blqjDVfXYosUv
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PMID: 24768580
Lead Author/Year: Annette Rid, 2014
Journal: Vaccine
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P 2:
Randomised, placebo-controlled trials are widely considered the gold standard for evaluating the safety and efficacy of a new vaccine. In these trials, participants are randomized to receive either the vaccine under investigation or a placebo (i.e. an inert substance such as a saline injection). Randomisation and the use of placebo interventions are designed to control for confounding effects, such that significant differences in disease incidence or adverse effects between the vaccine and control groups can likely be attributed to the vaccine.
When it comes to pre-licensure testing of drugs, vaccines, and other medical products, RCTs are widely considered the industry’s “gold standard”. The random distribution of subjects to trial and control groups, as well as the minimization of potential biases through the use of double-blinding, facilitates a reliable and meaningful comparison of trial and control group data.4 As an example, in a vaccine trial in which the control group is receiving a dummy compound, one can measure the level of antibodies produced in trial group subjects and compare it to that of the control group, thus getting a measure of vaccine efficacy. Similarly, a researcher could compare the incidence of adverse events following vaccination in the two groups, thus getting an estimation of vaccine safety. The larger the number of trial participants and the better the researchers adhere to RCT standard practices, the more reliable and comprehensive the trial results will be.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944327/
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Archive:
http://archive.is/kPW8h
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PMID: 26732191
Lead Author/Year: K Singh, 2016
Journal: Journal of Postgraduate Medicine
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Phase III Studies
[…]
RCTs are considered the “gold standard,” where participants are randomly allocated to receive either the investigational or the control vaccine (placebo, different vaccine, or nothing).
Due to the high quality and reliability of RCTs, they are the method designated by regulatory agencies (and accepted by the pharmaceutical industry) for evaluating efficacy and safety of vaccines in Phase 3 clinical trials.5
As we have seen, the use of a control group in a clinical trial allows researchers to examine the therapeutic effect of the compound (efficacy) and the rate of adverse events it causes (safety) by comparing outcomes in the trial group with those of the control group. This comparative statistical analysis, then, will be influenced by the nature of the compound the researchers give to the control group.
http://www.ich.org/fileadmin/Public_Web_Site/ICH_Products/Guidelines/Efficacy/E10/Ste
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Author/Year: ICH Expert Working Group, 2000
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Archive:
https://drive.google.com/open?id=1IrAW9UYSFvIA8npBLKsA
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P 19:
When a new treatment is tested for a condition for which no effective treatment is known, there is usually no ethical problem with a study comparing the new treatment to placebo.
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Document Name: Expert consultation on the use of placebos in vaccine trials
http://apps.who.int/iris/bitstream/handle/10665/94056/9789241506250_eng.pdf
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Author/Year: WHO, 2013
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Archive:
https://drive.google.com/open?id=1yLHGu4pO0K2xUZmNsE4RyxrbUtkq382y
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P 9:
A common model for the evaluation and deployment of a new vaccine, against a disease for which there is no existing vaccine, is that it is first tested in a placebo-controlled trial.
P 12:
As a general rule, research subjects in the control group of a trial of a diagnostic, therapeutic, or preventive intervention should receive an established effective intervention. In some circumstances it may be ethically acceptable to use an alternative comparator, such as placebo or “no treatment”.
A placebo may be used: • when there is no established effective intervention;
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Document Name: Guidance for Industry | E 10 Choice of Control Group and Related Issues in Clinical Trials
https://drive.google.com/open?id=17LyWGbkC8dQRtcHfFjKMjs7xgxpU3CBp
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Author/Year: FDA, 2001
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P 15 (19):
When a new treatment is tested for a condition for which no effective treatment is known, there is usually no ethical problem with a study comparing the new treatment to placebo.
http://apps.who.int/iris/bitstream/handle/10665/94056/9789241506250_eng.pdf
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Author/Year: WHO, 2013
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Archive:
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P 12-13:
…there is uniformity on the use of placebos, i.e. that if a proven effective intervention exists, the trial intervention should generally be tested against it. Failure to do so deprives participants in the “control” arm of an intervention that is likely to benefit them.
As a general rule, when deciding upon the type of compound given to the control group in an RCT, there are two options. For a trial of a completely new drug or vaccine, i.e. one which does not have an approved equivalent, the control group should receive an inert compound (placebo)6 that does not affect the parameters measured in the trial.[f] However, if a proven treatment already exists, it may be unethical to prevent control group participants from receiving it. For example, in trials of new cancer drugs, it is considered unethical to prevent the control group’s subjects from receiving an existing drug for their illness. In this scenario, then, the control group would receive the current approved treatment. This practice is also the norm for vaccines even though vaccines are used preventatively (not treatment for an existing condition) and are given to healthy individuals.7
If we apply the above guidelines to the clinical trials for the two generations of the Prevnar vaccine,[g] then the original Prevnar, a new vaccine that had no therapeutic alternative at the time it was developed, should have been tested in an RCT in which the control group received an inert injection as a placebo. In the trials of Prevnar-13, the next-generation vaccine, the control group should have received the (original) Prevnar vaccine, assuming that it would be unethical to deprive that group’s subjects of the current Prevnar vaccine’s protection, whose efficacy is already proven.
So how do researchers determine the incidence of adverse events associated with the new compound being tested in a controlled clinical trial? By comparing the rate of adverse events observed in the trial group to that of the control group. For example, if in a new vaccine’s trial group of 1,000 infants there were 20 cases of high fever, and in the control group (which has the same number of subjects) there were only 10 such cases registered, the results would imply the risk of high fever in the vaccinated is twice as high as in the unvaccinated. In absolute terms, the data shows that the vaccine increases the risk of high fever occurrence from 1 in every 100 infants to 1 in 50.[h]
When the control group’s subjects are given a placebo, an inert substance not known to cause high fever, it is assumed that the incidence of high fever recorded for the group represents the background rate (or baseline rate) of the phenomenon. In other words, the background rate is the number of subjects who would experience high fever naturally, regardless of any trial intervention. In our example above, we would assume that 1 in 100 control group subjects developed high fever due to random causes (unrelated to the trial). Since the trial group would likely experience a similar background rate of high fever (1 in 100), any significant deviation from this level should be attributed to the experimental vaccine. It follows, then, that an RCT in which the control group receives an inert placebo is designed to answer the critical question of How many adverse events does the new vaccine cause? Of course, we should keep in mind that trial results are no more than a good estimation. If or when the vaccine is released to the market, the actual reported adverse event rate might deviate significantly from that observed in the clinical trial. Still, the results of RCTs are the best estimate of safety available to science during the vaccine approval process, and in many cases, throughout its lifetime.
In a trial in which the control group receives a different vaccine (as in the trial of Prevnar-13 vs. Prevnar, its predecessor), the results obtained are always relative, answering the question How many more (or less) adverse events does the new vaccine cause compared to the current vaccine? For example, if (out of 1,000 subjects) 24 cases of high fever were observed in the trial group, while 20 such cases were reported in the control group, the new vaccine would appear to increase the odds of high fever by 20% (relative to the current vaccine). That is an important piece of information as it reveals how the new-generation vaccine’s safety fares against that of its predecessor. However, it is impossible to calculate from a trial such as this one the absolute rate of adverse events caused by the experimental vaccine – that is, the rate of adverse events from vaccinating compared to not vaccinating. The absolute rate could not be calculated because the control group received a compound (the current vaccine) which is not inert (neutral), but rather has side effects of its own. In the above example, 24 cases of high fever were observed in recipients of the new vaccine, and 20 cases in current vaccine recipients. But how many cases would have been reported in trial subjects given a true placebo? This trial cannot answer that question; therefore, the absolute rate of adverse events caused by the new vaccine cannot be calculated from trial data. The new vaccine could be said to cause 24 cases of high fever per 1,000 subjects, but this number would not represent a reliable estimate[i] as it does not take into account the background rate of the phenomenon, which was not measured in the trial.
http://www.ich.org/fileadmin/Public_Web_Site/ICH_Products/Guidelines/Efficacy/E10/Step4/E10_Guideline.pdf
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Author/Year: ICH Expert Working Group, 2000
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Archive:
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P 18:
A useful approach to the assessment of assay sensitivity in active control trials and in placebo-controlled trials is the three-arm trial, including both placebo and a known active treatment, a trial design with several advantages.
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Article Name: Alternatives to Placebo-Controlled Trials
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/28A722D8EF2C2FCABB3A1
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Archive:
https://drive.google.com/open?id=1uSPdSiRKhZex8QwuHiOmLjgxD3_Fi7vE
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PMID: 17469680
Lead Author/Year: David L. Streiner, 2007
Journal: The Canadian Journal Of Neurological Sciences
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P 5:
My recommendation would be that, when an existing therapy exists, and if certain conditions apply:
* Studies should consist of three arms: the new drug, the existing drug, and a placebo group..
In order to determine the true rate of adverse events of a new generation vaccine, a three-arm trial must be conducted, combining the two methods described above. In this kind of trial, subjects would be randomly allocated into three groups, one trial and two controls: The trial group would receive the new generation vaccine, the first control group would receive the current vaccine, and the second control group would receive an inert placebo. This trial design is considered to be of excellent quality, as it measures both the absolute rate of adverse events (comparing the new vaccine to the placebo) and the relative rate (comparing the new vaccine to the current vaccine).8 From a public health perspective, the three-arm trial answers two important questions: (1) How many adverse events does the new vaccine cause when compared to not vaccinating? and (2) How many adverse events does the new vaccine cause when compared to the existing vaccine?[j] Continuing with our Prevnar example, if the placebo-receiving control group reported, say, 8 high fever cases per 1,000 subjects, then the study would indicate that the new vaccine – which, as we recall, had 24 cases of high fever per 1,000 subjects – increased the risk of high fever by a factor of three (or, put differently, caused 16 more cases per 1,000 subjects), compared to not vaccinating.
Another scenario in which a three-arm trial would be appropriate is re-establishing the safety of a legacy vaccine that was originally tested many years ago. The environment into which today’s infants are born may differ significantly in crucial health-related aspects from the environment in which a first-generation vaccine was tested decades ago. For example, the current measles-mumps-rubella-varicella (MMRV) vaccine (ProQuad) is the “grandchild” of the original MMR vaccine, which was tested in the late 1960s. Back then, the vaccine schedule consisted of only the diphtheria-pertussis-tetanus (DPT) and polio vaccines, with the first dose administered at age two months. If ProQuad were clinically tested against the original MMR and proved to have a similar safety profile, could we assume it is safe just because its grandparent vaccine was deemed safe 50 years ago? MMR vaccines are typically administered in the second year of life, after most of the infant vaccine schedule has already been delivered. If, hypothetically, the MMR’s risk of harmful side effects were related to the load of previously administered vaccines, then we could not automatically accept the present safety of the original MMR. Remember that the MMR was first tested when the vaccine schedule consisted of only two other vaccines. If it were tested today, with many more vaccines on the schedule, some of which are given to pregnant mothers, others to newborns and infants one month of age, would it still be proven safe? And the changing vaccine program is just one aspect of the environment that may affect the safety of a given vaccine. Other factors, such as chemical exposure, changing diets, air pollution, radiation, etc., could also play a role. Therefore, a clinical trial comparing ProQuad to MMR alone is deficient, as it would rely on the presumed safety of a vaccine (MMR) that might no longer be safe. Once more, a third group receiving a placebo is the proper solution to the problem.[k]
To summarize, in a clinical trial of an (entirely) new vaccine, the control group should receive a placebo so that the absolute rate of the vaccine’s adverse events can be determined. This design does not pose an ethical problem, since the vaccine has no existing alternative. In a trial of a new-generation vaccine, one control group should receive the current vaccine and another should receive a placebo (a three-arm trial).
http://www.ich.org/fileadmin/Public_Web_Site/ICH_Products/Guidelines/Efficacy/E10/Step4/E10_Guideline.pdf
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Author/Year: ICH Expert Working Group, 2000
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Archive:
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Section 2.5.2:
It is always difficult, and in many cases impossible, to establish comparability of the treatment and control groups and thus to fulfill the major purpose of a control group (see section 1.2). The groups can be dissimilar with respect to a wide range of factors, other than use of the study treatment, that could affect outcome, including demographic characteristics, diagnostic criteria, stage or severity of disease, concomitant treatments, and observational conditions (such as methods of assessing outcome, investigator expectations). Such dissimilarities can include important but unrecognized prognostic factors that have not been measured. Blinding and randomization are not available to minimize bias when external controls are used.
[…]
Control groups in a randomized study need to meet certain criteria to be entered into the study, criteria that are generally more stringent and identify a less sick population than is typical of external control groups. An external control group is often identified retrospectively, leading to potential bias in its selection.
Another important point to consider is that an RCT control group cannot be replaced with data from another trial, or any other externally calculated background rate. In other words, it is not scientifically valid to draw conclusions by comparing the observed rate of any phenomenon in a randomized controlled trial to the rate reported in another trial or to a rate observed in the general population.[l] For example, if in a particular vaccine trial the reported incidence of sudden infant death syndrome (SIDS or “crib death”)[m] in the trial group were 0.5% (1 in 200), researchers could not then compare this rate to the background rate of the phenomenon in the population (say 0.8%), thus determining that the vaccine lowered the risk of SIDS. This is because trial participants comprise a subgroup which could possess specific characteristics, known or unknown, which are not representative of the entire population. This could potentially yield trial results that are not comparable to rates in the general population.9 For example, the proportion of infants participating in a trial whose parents smoke may be much lower than the background rate in the entire population, skewing the incidence of crib death in trial participants in a downward direction. Of course, skewing in the opposite direction is equally possible.
Similarly, there is little scientific merit in comparing results from different clinical trials. For example, no significant insights could be derived from comparing the results of a Prevnar-13 trial carried out in infants from the New York area in 2010 with those of a Prevnar trial conducted in Philadelphia in 2005. This is due to the randomization principle of the Randomized Controlled Trial (RCT), which requires that the trial participants be randomly divided between the trial group and the control group. Obviously, groups whose members were selected at different times and places would not satisfy this requirement. In the above examples, any differences in trial results could be entirely due to dissimilarities between the groups, such as different socioeconomic status, environmental exposures, or behavioral characteristics.
https://drive.google.com/open?id=1XGppC-tPGSWvEZNGK8kRY15nGz76lxSA
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Section 5.6.1:
Because clinical trials are conducted under widely varying conditions, adverse reaction rates observed in the clinical trials of a vaccine cannot be directly compared to rates in the clinical trials of another vaccine, and may not reflect the rates observed in practice.
The principle described above is well known to the pharmaceutical industry and it appears in numerous vaccine manufacturers’ leaflets. For example, the package insert for Glaxo-Smith-Kline’s (GSK) hepatitis A vaccine (Havrix) reads: “Because clinical trials are conducted under widely varying conditions, adverse reaction rates observed in the clinical trials of a vaccine cannot be directly compared to rates in the clinical trials of another vaccine, and may not reflect the rates observed in practice.”10
Throughout most of the 20th century, the prevailing opinion in the world of medicine was that due to the relative fragility of children (compared to adults), they should be protected from the perils of medical research. The result was a distinct lack of scientific knowledge about the effects of medical interventions (such as medication) on children. Administering medication to children, therefore, was largely a wide-ranging experiment conducted on the public. Circumstances began to change in 1977 when the American Academy of Pediatrics (AAP) published new guidelines regulating the participation of children in clinical trials. In the new guidelines, the AAP said that drugs and vaccines should be tested on the population for which they are intended – in this case, children – and that this requirement is not only ethical, but essential to their health as well.11
http://pediatrics.aappublications.org/content/pediatrics/60/1/91.full.pdf
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Author/Year: AAP, 1977
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Archive:
https://drive.google.com/open?id=1sjvo_5OLgRv8ZCkh7lic-1Kih1gV1zEF
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P 1-2:
The publication of these general guidelines and their implications for future drug development led the FDA to request that the Academy’s Committee on Drugs advise it about standards of ethical research which could be recommended to assure that children, and society in general, are served appropriately by studies carried out in pediatric populations without undue hazard or discomfort.
[…]
The Committee believes that it is unethical to adhere to a system which forces physicians to use therapeutic agents in an uncontrolled experimental situation virtually every time they prescribe for children. Furthermore, it is not only ethical but also imperative that new drugs to be used in children be studied in children under controlled circumstances so the benefits of therapeutic advances will become available to all who may need them.
Over the following decades, various international medical organizations have formulated ethical rules governing the participation of children in clinical trials of drugs and vaccines. According to these rules, children may only be included in experiments intended to achieve an important scientific or public health objective directly related to the health and well-being of children. Children should not participate in studies that do not promote such goals, such as studies designed merely to confirm the results of other studies or studies designed to advance scientific knowledge that does not concern children.12
https://www.springer.com/gp/book/9783642201943
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Lead Author/Year: Michelle Roth-Cline, 2011
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P 221:
A fundamental pillar of pediatric research is the ethical principle of “scientific necessity.” This principle holds that children should not be enrolled in a clinical investigation unless necessary to achieve an important scientific and/or public health objective concerning the health and welfare of children. An “important scientific question” may be one that generates nformation that is necessary and timely for establishing the appropriate pediatric use of investigational therapeutics. A corollary is that children should not be enrolled in studies that are duplicative or unlikely to yield important knowledge applicable to children about the product or condition under investigation.
https://www.springer.com/gp/book/9783642201943
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Lead Author/Year: Michelle Roth-Cline, 2011
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P 222, 224:
First, the risks to which children would be exposed must be low if there is no prospect of direct therapeutic benefit (PDB) to the enrolled children. Second, children should not be placed at a disadvantage by being enrolled in a clinical trial, either through exposure to excessive risks or by failing to get necessary health care. Consequently, the data necessary to initiate a pediatric investigation must demonstrate either an acceptably low risk of the experimental intervention or a sufficient PDB to justify the risks of the intervention.
[…]
Investigations involving children that pose more than low risk cannot be justified by the importance of anticipated knowledge. In pediatric studies, the allowable risk exposure for an intervention or procedure not offering a PDB must be restricted to low risk.
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Document Name: MMR II Clinical Trials – DFA FOIA
https://drive.google.com/open?id=1GKahQSNG8LvCAnEG7SGNyYPUEiSJwfd8
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An example from a form filled by investigators in vaccine trial in the late 1970s. P 103:
B. Describe the benefit to the subject or advancment of knowledge that will balance the risk involved.
C. Indicate measures proposed to minimize risk […]
In addition, the medical code of ethics states that all parties involved in a trial must carefully weigh the potential benefit to child participants against the potential dangers involved. If the study’s participants cannot be expected to benefit from the given intervention, then the intervention’s inherent risk must be “minimal”, especially if the subject has not consented to participate in the trial (as is the case with infants). For example, if children assigned to the control group of a drug trial were to receive a dummy medication (placebo) and a blood test, then both the medication and the blood draw must present no more than “minimal” risk. Also, the potential benefit must be substantial enough to justify the intervention’s risk.13 For example, in a trial of a children’s cough syrup, the risk associated with the new drug should be relatively low as the potential benefit would be relatively low, while the potential benefit in a trial of a child cancer medication would be significantly higher, thus the risk posed by the drug could be proportionately higher as well.
https://www.springer.com/gp/book/9783642201943
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Lead Author/Year: Michelle Roth-Cline, 2011
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P 226-228:
FDA regulations also include a classification of “minor increase over minimal risk” (21 CFR 50.53, 2011). An intervention or procedure approved under this category must also involve “experiences to subjects that are reasonably commensurate with those inherent in their actual or expected… situations” and be “likely to yield generalizable knowledge about the subjects’ disorder or condition that is of vital importance for the understanding or amelioration of the subjects’ disorder or condition.”
[…]
In assessing whether an intervention or procedure presents no more than a minor increase over minimal risk, there must be sufficient data that any research-related pain, discomfort or stress will not be severe and that any potential harms will be transient and reversible (Fisher et al. 2007). Even if the average risk associated with an intervention or procedure is thought to be low, if the risk estimate is unknown, reflects a large degree of variability, or has not been adequately characterized, then the risks of an intervention or procedure cannot be considered only a minor increase over minimal risk.
A more lenient approach holds that even if a trial procedure has no expected benefit, a “minor increase over minimal risk” is allowed if the experiment has the potential for gaining knowledge about the subjects’ disorder that is considered to be of “vital importance”. However, even with this approach, the risk associated with the intervention must not exceed the risk a healthy child would face in everyday life and should not cause permanent or irreparable damage. In any case, there must be prior knowledge of the level of risk inherent in the procedure. If the risk is unknown, it cannot be determined to be “a minor increase over minimal risk”.14 It is important to note that the above discussion holds equally true for both the trial and control groups of an experiment.
Now that we are familiar with the different clinical phases of the vaccine approval process, the purpose of control groups in randomized controlled trials, and the ethical limitations imposed on children’s participation in medical research, we can better examine the deliberately flawed procedure the industry uses to conduct vaccine clinical trials.
Let’s take a moment to examine a hypothetical scenario: A major pharmaceutical company has developed a new drug against a particular medical problem. Following its preliminary trials, the company realizes that the drug is associated with a relatively high incidence of serious side effects that may negatively affect its chances to win FDA approval. Let us suppose that, since the company spent hundreds of millions of dollars developing the drug and the target market segment is worth billions of dollars in sales per year, the company decides to move forward with the licensing process and start a Phase 3 clinical trial. Given all of the above, what are the company’s options, legal and illegal, for ensuring that the trial demonstrates a positive safety profile, thus clearing the way for the drug’s approval?
One option is to artificially lower the incidence of adverse events reported in the trial group (the group receiving the new drug), by withholding or modifying data for specific cases. The difficulty with this technique is that for the duration of the trial, because of the enforced double-blinding, researchers do not know which subjects belong to which trial group. Thus, one cannot suppress or dilute reports for a specific group (the trial group, in this case) while leaving those of the other intact. Randomly suppressing reports would not be likely to accomplish the desired effect as the ratio of adverse events in each of the two groups would probably not change much.
Another theoretical option would be to modify the results following the conclusion of the clinical stage of the trial, at which point the blinding is removed and the data becomes fully available to the researchers.[n] The difficulty with this approach is that falsifying trial data is a criminal offense, which can lead to grave consequences for the company and the researchers themselves, making this an unattractive option.
Another option would be to use various statistical techniques (which will be discussed later in the book), to build a false safety profile for the drug being tested. The difficulty with this approach is that the RCT study design greatly reduces researchers’ ability to affect the results since they gain access to the full data set at a time when the data can no longer be altered. With limited ability to control the data, it can be quite difficult to eliminate undesired signals by statistical manipulation while at the same time successfully covering one’s tracks.
The last option available to the company wishing to hide their product’s undesirable side effects is to design a trial in which the reported rate of adverse events in the control group would likely be very similar to that of the trial group. As described previously, the RCT’s control group represents the baseline rate to which the trial group is compared. A similar proportion between the two groups would indicate that the adverse events reported in the trial group were the result of “background noise” only and not caused by the experimental drug. This technique has three distinct advantages: (1) It is 100% legal, (2) it is very effective, and, as it turns out, (3) it has the full approval of licensing authorities around the world. As we shall shortly see, this method is exactly the one vaccine manufacturers employ to deliberately obscure the real incidence of vaccine adverse events.
The entire vaccine program is founded upon this deception.
It is virtually impossible to state the bottom line of the analysis presented above mildly, so here goes: Vaccine trials in general, and childhood vaccine trials specifically, are purposely designed to obscure the true incidence of adverse events of the vaccine being tested.
How do they do this? By using a two-step scheme: First, a new vaccine (one which does not have a predecessor), is always tested in a Phase 3 RCT in which the control group receives another vaccine (or a compound very similar to the experimental vaccine, see explanation below). A new pediatric vaccine is never tested during its formal approval process against a neutral solution (placebo). Comparing a trial group to a control group that was given a compound that is likely to cause a similar rate of adverse events facilitates the formation of a false safety profile. The rate of adverse events of the tested vaccine is said to be similar to the “background rate”, hence it is considered safe. The researchers, and the vaccine manufacturer they work for, seem to “forget” that the compound they administered to the control group is a bioactive substance, carrying its own risks and side effects, and hardly represents the baseline or background rate that is essential to an RCT for a new vaccine.
Thus, the vaccine is approved and added to national vaccine programs throughout the world. Then, when the “next generation” vaccine comes along, its pre-licensing clinical trials will always compare the new vaccine to the current vaccine and never to a placebo. Thus, all parties involved ensure that the true rate of vaccine adverse events is never discovered – for either the original or upgraded vaccine – and that rate is never shared with the public, or even the medical world.
The practice of giving a different vaccine to the control group in an RCT of an entirely new vaccine and calling it “placebo” is a deliberate misrepresentation of the term. As explained previously, a placebo is a compound (or procedure) that does not affect the parameters measured in the trial. When testing the efficacy of a new vaccine, researchers measure the level of disease antibodies in both study groups, so the substance given to the control group must not affect that antibody level, or the comparison becomes meaningless. For example, in a hypothetical new hepatitis C vaccine trial, it would not make scientific sense to inject the control group subjects with a compound that could increase (or decrease) the subjects’ hepatitis C antibodies. Doing so would preclude a valid assessment of the effect of the vaccine on the antibody level, as the substance taken by the controls could have distorted the comparison.[o]
The above analysis holds true for safety testing as well. If the compound given to the control group has its own significant side effects, it cannot be regarded as a true placebo. If the rates of adverse events observed in the trial and control groups appear similar, is it because the experimental vaccine is safe or because the control compound is just as unsafe as the vaccine? It would be impossible to know. Giving the control group an active substance in an RCT intended to test safety would be a bad design decision, then. Yet this is exactly how new vaccine Phase 3 trials are performed: Instead of a placebo, the control group receives a different vaccine, which is certain to cause its own adverse events and can in no way be deemed a neutral substance.
This practice of administering a different vaccine to the control group in a new-vaccine trial has no bearing on efficacy testing: It is highly likely that the control vaccine, which usually targets a different disease, would have no effect on the antibody level of the disease targeted by the test vaccine. Thus, using our hepatitis C example, if the control group subjects in the vaccine trial were given the Prevnar vaccine, no change in their hepatitis C antibody level would be expected; thus, the true efficacy of the test vaccine could be determined. But this lack of effect is not the case when it comes to safety: Because the Prevnar vaccine has its own side effects, it cannot be considered neutral in this context. Therefore, the true rate of adverse events for the experimental hepatitis C vaccine cannot be determined by comparing it to the rate in the group that received Prevnar since the controls did not receive a neutral compound.
https://drive.google.com/open?id=1LuPKwCve8Pguo-GJOzbOm1b9Hgu0Zn15
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P 7:
In a double-blind, placebo-controlled efficacy trial (i.e. The Monroe Efficacy Study), 1037 healthy children and adolescents 2 through 16 years of age.were randomized to receive a primary dose of 25U of VAQTA and a booster dose of VAQTA 6, 12, or 18 months later, or placebo (alum diluent)… There were no significant differences in the rates of any adverse events or adverse reactions between vaccine and placebo recipients after Dose 1.
https://drive.google.com/open?id=1CFrePXwN-q5ywCnuflnwLjUwScsLPvBU
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P 61, Table 50:
Rates for all hospitalizations, hospitalizations for acute otitis media, suspected bacterial respiratory infection, lower respiratory infection – no antibiotics, upper respiratory infection – no antibiotics, viral infection, gastroenteritis, urinary tract infection, seizures, trauma/intoxication, surgery were similar among vaccine groups.
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/28A722D8EF2C2FCABB3A1AC2477DFBB8/S0317167100005540a.pdf/alternatives_to_placebocontrolled_trials.pdf/alternatives_to_placebocontrolled_trials.pdf
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Archive:
https://drive.google.com/open?id=1uSPdSiRKhZex8QwuHiOmLjgxD3_Fi7vE
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PMID: 17469680
Lead Author/Year: David L. Streiner, 2007
Journal: The Canadian Journal Of Neurological Sciences
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Streiner notes this problem in the context of measuring trial efficacy, but it's clear the same problem exists with the safety aspect, p 5:
However, there are many methodological problems when the comparison group consists of an active treatment: […] (b) when the two arms yield comparable results, there is no guarantee that either one was effective in that particular trial;
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And the proposed solution, p 5:
My recommendation would be that, when an existing therapy exists, and if certain conditions apply:
* Studies should consist of three arms: the new drug, the existing drug, and a placebo group.
This deliberate distortion of the placebo concept in clinical trials of new vaccines is so prevalent that researchers and vaccine package inserts frequently refer to the bioactive compound given to a control group as “placebo”, even when it’s clear it is another vaccine or a similar bioactive compound, which in itself is not safety-neutral.15 Falsely using the term “placebo” allows researchers to conclude that the new compound “was proven safe” because its rate of adverse events was similar to that of placebo – even though the substance the control group received was decidedly not a placebo. For example, in one of the DTaP[p] vaccine trials, the rate of hospital admissions in the trial group was almost 1 in every 22 subjects. The researchers did not consider this statistic alarming, however, because in the control groups that received different DTP vaccines,[q] the hospitalization rate was similar.16 Was such a high hospitalization rate in trial participants unrelated to the vaccines used, or were they the main culprit? Only the use of a true placebo control group could answer that question.17
No logical explanation can be found for the ubiquitous practice of administering bioactive compounds to control groups in trials of new vaccines other than a desire to conceal the true rate of adverse events of the vaccine. Testing a new vaccine against a placebo in an RCT is the simplest, safest, cheapest and most reliable option. Saline (sterilized salt water), for example, is a safe, reliable, widely available, and inexpensive compound – certainly when compared to a vaccine. Because it does not cause significant adverse events, nor does it produce disease-specific antibodies, it provides a reliable baseline for both safety and efficacy testing and is therefore ideal for control group usage. Calculation of the true rate of adverse events of the test vaccine becomes straightforward and simple. Despite its clear benefits as a placebo, vaccine makers prefer not to use saline in vaccine trials, and the reason for this should be obvious by now.
Now that the groundwork has been laid, it’s time to consider the vaccines on the CDC’s recommended childhood vaccine schedule: How were they tested for safety before getting marketing approval? Were the clinical trials of these vaccines “cooked” in the manner described above? Were they tested against (real) placebos? Is their true rate of adverse events known?
https://drive.google.com/open?id=1Bcb5L30zbAB4FGtzItrzUs_g1yJCy4lt
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Author/Year: CDC, 2020
According to the current CDC vaccination program,18 all children routinely receive vaccines against 13 different diseases by the age of two years.[r] Let’s examine each of these vaccines.
Diphtheria-Tetanus-acellular-Pertussis Vaccines (DTaP): The DTaP vaccine is administered in various combinations – with or without inactivated polio, Hib, and hepatitis B components – and is manufactured by two companies: GlaxoSmithKline (GSK) and Sanofi Pasteur.
https://drive.google.com/open?id=1rY3q-bXZDxIErcWTvm2th3hGm4zBRPAk
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P 5, 6, 8
GSK’s Pediarix vaccine protects against five diseases: diphtheria, tetanus, pertussis, hepatitis B, and polio. The safety section of the vaccine’s package insert mentions 14 clinical trials involving 8,088 subjects. In the largest of the trials, conducted in Germany, the trial group received the Pediarix vaccine and a Hib vaccine, while the control group received Infanrix (DTaP vaccine, see below), Hib, and oral polio vaccines. In another trial explicitly mentioned in the leaflet, Pediarix was tested against a control group receiving Infanrix, hepatitis B, and inactivated polio vaccines. The leaflet does not describe the compounds given to the control groups in the remaining 12 safety studies, other than indicating that all of them received “comparator vaccines”.19
https://drive.google.com/open?id=1Ulz5HRP4ROFm49kQniiuqQ2vsRIFNH61
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P 4
GSK also manufactures a 4-in-1 vaccine called Kinrix, which is identical to the above Pediarix, minus the hepatitis B component. In the vaccine’s largest clinical trial, the control group received Infanrix and IPOL (polio) vaccines. All trial participants were also concomitantly administered a dose of the MMR vaccine. The leaflet does not mention any trial involving a placebo control group.20
https://drive.google.com/open?id=1fUUkPH8gHd5fiBFhyZhGBl56fwLtmcCf
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P 10:
Selected adverse events reported from a double-blind, randomized Italian clinical efficacy trial involving 4,696 children administered INFANRIX or 4,678 children administered whole-cell DTP vaccine (DTwP) (manufactured by Connaught Laboratories, Inc.) as a 3-dose primary series are shown in Table 4.
[…]
In a German safety study that enrolled 22,505 infants (66,867 doses of INFANRIX administered as a 3-dose primary series at 3, 4, and 5 months of age), all subjects were monitored for unsolicited adverse events that occurred within 28 days following vaccination using report cards.
And how was the aforementioned Infanrix vaccine itself tested? The vaccine, which includes diphtheria, tetanus, and acellular pertussis components, was tested for safety in one clinical trial against a control group that received the DTP vaccine (the older, whole-cell pertussis, version), and in another that had no control group.21
http://apps.who.int/iris/bitstream/10665/44311/1/9789241599337_eng.pdf
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Lead Author/Year: WHO, 2009
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Archive:
https://drive.google.com/open?id=1efbV0PaVOMSI6NcqbDtREba_yJizPM2C
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P 9:
All aP vaccines are associated with significantly lesser side-effects, and thus the replacement of the wP vaccines was mainly driven by the safety-profile of these vaccines.
http://www.nap.edu/read/1815/chapter/4#38
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Author/Year: IOM 1991
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P 38:
In fact, since the first reports of serious adverse events following administration of pertussis and rubella vaccines (Madsen, 1933; Modlin et al., 1975), virtually no placebo-controlled or other experimental studies in humans of the adverse events covered in this report have been published.
http://www.nap.edu/read/1815/chapter/4#39
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Author/Year: IOM 1991
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P 39:
A number of early studies of pertussis vaccine in the United States and the United Kingdom did include unexposed controls, but these studies were primarily concerned with efficacy and not with adverse events.
What about the older generation DTP vaccine? What safety testing did it undergo? Although this vaccine is known to have caused serious side effects in infants (and was therefore replaced by the newer DTaP vaccine in the late 1990s),22 it was never tested in a modern clinical trial in which the control group received a true placebo.23 The vaccine, which was developed in the first half of 20th century, underwent a series of trials in the 1930s and 1940s at a time when the concept of the randomized controlled trial was still in its infancy. Hence, in most of these trials, there was no randomized control group, and the researchers devoted little effort to gathering information on the side effects of the tested vaccine.24
https://www.clinicaltrials.gov/ct2/results?term=Infanrix+safety&recr=Closed&rslt=&type=
&cond=&intr=&titles=&outc=&spons=&lead=GlaxoSmithKline&id=&state1=&cntry1=&st
ate2=&cntry2=&state3=&cntry3=&locn=&gndr=&age=0&phase=2&phase=3&rcv_s=&rcv
_e=&lup_s=&lup_e=
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or
https://drive.google.com/open?id=14MfvK7yfw9M092-JHj3RB5_x7mjiPT_E
In addition to the above, a search of the clinicaltrials.gov web-site, a repository of clinical trials conducted since the year 2000, yields dozens of results for GSK’s Infanrix vaccine family. None of them specifies an RCT with a placebo control group.25
To summarize, the safety of GSK’s 5-in-1 and 4-in-1 vaccines was tested against the triple vaccine (DTaP), which was tested against the older generation vaccine (DTP), whose safety was never tested in an RCT with a placebo control group. A turtle standing on the back of a turtle, standing on the back of yet another turtle – all the way down.
https://drive.google.com/open?id=1SB8zUchU9xp_j0eQTHent-znyta_oHec
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P 10(11)
https://drive.google.com/open?id=1u4ugyQjcQWZ43AMSop6-zSYugykHLoDK
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P 75-76
In addition to GSK’s diphtheria-tetanus-pertussis family of vaccines reviewed above, Sanofi Pasteur’s DTaP line of vaccines is also approved for use in the US. The Pentacel vaccine (DTaP, polio and Hib) was tested in four clinical trials during its licensing process. In three of the trials, the control group participants received an assortment of different vaccines.26 The fourth trial appears to have had a control group that received no vaccines. However, the clinical review document submitted to the FDA reveals that the trial actually had no control group.27
https://drive.google.com/open?id=1qIjY0SVED2Q8WxXhJj8DAXDJ725F6NVa
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P 5 (6)
Sanofi’s Quadracel 4-in-1 vaccine (DTaP and polio) was tested for safety in one large clinical trial. The control group received Sanofi’s 3-in-1 (Daptacel) and polio vaccines.28
https://drive.google.com/open?id=1mD_GBQsmiGMO-VFpdRMqEdX6yMLVfFwn
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P 10, 16-17, 21-22
Daptacel, Sanofi’s triple DTaP vaccine, underwent four clinical trials during its licensing process. All of the trials were randomized and controlled, and in all of them, the control group received different combinations of DTaP or DTP vaccines, sometimes concurrently with other vaccines as well.29
https://drive.google.com/open?id=1CFrePXwN-q5ywCnuflnwLjUwScsLPvBU
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P 57, 61:
The Swedish trial (1992-1995) compared 4 groups: one of Infanrix by SmithKline Beecham (GSK), one CDPT (DAPTACEL) by Aventis-Pasteur (Sanofi), and one DTPwc – old generation vaccine by Aventis-Pasteur. The control group received a DT vaccine.
The rates of adverse events in the trials reviewed above were always compared with rates observed in control groups whose participants also received vaccines. For example, a major study conducted in Sweden in the early 1990s compared four different DTP-related vaccines and found that serious adverse events – seizures, life-threatening events, onset of chronic illness, and more – occurred in approximately 1 in 200 vaccinees. Adverse events classified as “prohibiting future vaccination” were reported for 1 in every 100 vaccinees, and about 1 in 22 subjects were admitted to a hospital.30 However, since the rates for the new-generation-vaccine (DTaP) groups were similar to that of the old-generation-vaccine (DTP) groups, the new vaccines received the green light.
The bottom line is that none of the many products in either of the DTaP vaccine family lines routinely administered in the US has been tested for safety in a clinical trial with a placebo-controlled group.
Haemophilus Influenzae Type B (Hib) Vaccine: The vaccine protects against infection caused by the Haemophilus influenzae type b bacterium. It can be administered as a component of the 5-in-1 Pentacel vaccine, discussed above, or as a separate vaccine. At present, there are three standalone Hib vaccine brands approved for use in the United States.
https://drive.google.com/open?id=1epLW5onHsW93NI2_qNxH-KaMvkcvATdc
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P 4, 14
Hiberix is produced by GSK. Its package insert reports a single RCT in which the vaccine was administered concomitantly with several other vaccines (DTaP, polio, hepatitis B, and others). The two control groups received a different Hib vaccine or a DTaP-polio-Hib vaccine, along with several other vaccines. Seven other trials mentioned in the leaflet were not blinded (“open label”) and apparently had no control groups.31
https://drive.google.com/open?id=1MeKZaNrIaVRjy_2VmtvBQ98t6syrVM14
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P 19-21
ActHIB, manufactured by Sanofi Pasteur, was clinically tested for safety in three RCTs. In the first, the vaccine was simultaneously administered with the DTP vaccine, while the control group received the DTP vaccine alone. In the other two trials, the trial groups received a combination vaccine with ActHIB as one of its components, while the control groups received the same combination vaccine (without the ActHIB component), and a separate ActHIB vaccine.32
https://drive.google.com/open?id=10rwMmdmZ_H3FE9v1oPPiByLqGbFegngS
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P 7
PedvaxHIB, by Merck, was tested in Native American infants. The package insert states that the control group received a placebo; however, all trial participants were also given the DTP and OPV vaccines concomitantly.33
https://drive.google.com/open?id=1sWAblyncNXw-78rh8LtzkIKAmQfAkOK2
Polio Vaccine (IPV): Similar to the Hib vaccine, the inactivated polio vaccine is administered as either a component of DTaP combination vaccines (discussed previously) or as a standalone vaccine. The IPOL vaccine, by Sanofi Pasteur, is the only brand currently licensed and used in the United States. Its package insert does not mention any pre-licensure RCTs that were performed for the vaccine.34 Wasn’t the vaccine clinically tested before it was introduced into the US schedule in the early 1990s?
https://drive.google.com/open?id=1V7zf1YPJF2_V2KRRf-wUz-dCeKxMaUvz
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P 90-93, 13-15
Well, no. According to a document released by the FDA in 2018 following a Freedom of Information Act (FOIA) request, the vaccine underwent two clinical trials. However, these trials did not meet the current requirements for a Phase 3 randomized controlled trial. The first trial, which was conducted in 1980-1983, consisted of only 371 subjects in the IPOL trial group and about the same number in the control group, which (and this shouldn’t be surprising by now) received the oral polio vaccine (OPV). The OPV, manufactured by Lederle, was the only polio vaccine licensed in the US at the time. In addition, all trial participants received the DPT vaccine. The trial was controlled, randomized, and possibly blinded (though the licensing documents do not state this explicitly), but obviously not placebo bound. The second study, conducted in Buffalo, New York, in the late 1980s, enrolled 114 children who underwent a series of three vaccinations with either IPOL, OPV, or a combination of both. Most of the children received the DPT vaccine as well. This trial was not controlled, randomized, or blinded.35
So, the inactivated polio vaccine (IPV) “safety turtle” – established in two small trials, only one of them an RCT with any sort of control group – stands on the back of Lederle’s oral polio vaccine (OPV) safety turtle. And what lies below that turtle’s feet? Only thin air, apparently. The Lederle vaccine, introduced in the US in the early 1960s, has no public documentation of any clinical trials performed pre-licensure, or thereafter.
Prevnar Vaccine: The Prevnar vaccine brand protects against multiple strains of the pneumococcus bacterium that can cause pneumonia. The Prevnar-13 vaccine protects against 13 bacterial strains and has been in routine use in the US since 2010.[s] The vaccine replaced the older-generation vaccine called Prevnar, which was introduced in 2000 and protected against 7 bacterial strains.
https://drive.google.com/open?id=1_iI7Np-BfDmUwkQzuJWp46rkSBZ-ow5i
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P 6:
The safety of Prevnar 13 was evaluated in 13 clinical trials in which 4,729 infants (6 weeks through 11 months of age) and toddlers (12 months through 15 months of age) received at least one dose of Prevnar 13 and 2,760 infants and toddlers received at least one dose of Prevnar active control.
https://drive.google.com/open?id=1_iI7Np-BfDmUwkQzuJWp46rkSBZ-ow5i
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P 6:
Serious adverse events reported following vaccination in infants and toddlers occurred in 8.2% among Prevnar 13 recipients and 7.2% among Prevnar recipients.
[…]
The most commonly reported serious adverse events were in the ‘Infections and infestations’ system organ class including bronchiolitis (0.9%, 1.1%), gastroenteritis, (0.9%, 0.9%), and pneumonia (0.9%, 0.5%) for Prevnar 13 and Prevnar respectively.
How was Prevnar-13’s safety tested before approval? Browsing the vaccine’s package insert reveals that it was tested against its predecessor, Prevnar.36 In these trials, severe adverse events were reported in 1 in 12 infants receiving Prevnar-13 (8.2% of subjects) and slightly less often in Prevnar subjects (7.2%).37 But how many babies who participated in the trial would have experienced severe medical events if not vaccinated at all? That question cannot be answered because the Prevnar-13 trials did not include a placebo control group. Unsurprisingly, the rate of adverse events in the Prevnar-13 was generally similar to, albeit slightly higher than, the rate of its predecessor; thus, the vaccine was declared “safe” and approved for use by the FDA.
The Prevnar-13 turtle stands on the back of the Prevnar turtle. And what is the Prevnar turtle standing on? The answer: On the back of another turtle, which is standing on nothing but thin air, as we shall immediately see.
https://drive.google.com/open?id=1VLR6NluMGK0E4yXUZM18IpUpi_MI7-MP
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P 3, 5, 15, 21
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PMID: 10749457
Lead Author/Year: Steven Black, 2000
Journal: Pediatric Infectious Disease Journal
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P 5:
Overall 513 pneumococcal vaccine recipients and 579 controls were hospitalized within 60 days of receipt of a dose of vaccine.
[…]
Review of emergency room visits within 30 days of vaccination revealed 1188 visits in pneumococcal vaccine recipients and 1169 visits in controls.
Prior to its approval, the Prevnar vaccine underwent a major clinical trial in the United States. In this trial approximately 17,000 infants received Prevnar and a similar number of controls received a vaccine against the meningococcus bacterium.38 A review of the scientific paper reporting the results of the trial reveals that about 1,000 subjects in total were hospitalized (about 1 in every 35 infants), and about 1 in 16 had emergency room (ER) visits within 30 days of receiving the vaccine.39 In addition to the Prevnar or meningococcal vaccine, all trial subjects received concurrent DTP or DTaP vaccines. (Note that administering the trial and control vaccines concurrently with other vaccines further obscures the results, as it impossible to determine which adverse events are due to which vaccine(s).)
https://drive.google.com/open?id=1VLR6NluMGK0E4yXUZM18IpUpi_MI7-MP
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P 2, 21:
Efficacy was assessed in a randomized, double-blinded clinical trial in a multiethnic population at Northern California Kaiser Permanente (NCKP) from October 1995 through August 20, 1998, in which 37,816 infants were randomized to receive either Prevnar® or a control vaccine (an investigational meningococcal group C conjugate vaccine [MnCC]) at 2, 4, 6, and 12-15 months of age.
[…]
The majority of the safety experience with Prevnar® comes from the NCKP Efficacy Trial in which 17,066 infants received 55,352 doses of Prevnar®, along with other routine childhood vaccines through April 1998.
And what about that meningococcal vaccine received by the control group subjects? In 1998, the year its trial took place, there was no existing alternative to the Prevnar vaccine. Thus, there were no ethical reasons not to give the control group an inert saline injection. Yet the manufacturer chose to give the control group the meningococcal vaccine instead, despite the fact that it had not yet been approved by the FDA and was still “experimental”.40 Why would the manufacturer, as well as FDA and other licensing approval bodies, prefer using an experimental vaccine over the safe, economical, practical, and ethical alternative of a saline placebo? There can be only one answer: to hide the true rate of Prevnar’s adverse events.
https://drive.google.com/open?id=1aZ1MtPiO58lE6Pjg0Ee_PZZ10c4iLjUs
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P 7:
Based on clinical trial symptom sheet data, the incidence of local side effects is 24% and of systemic side effects 8%; both local and systemic side effects occurred in approximately 13% of subjects. The incidence of local and systemic reactions was comparable to those of plasma derived hepatitis B vaccines.
https://drive.google.com/open?id=1aZ1MtPiO58lE6Pjg0Ee_PZZ10c4iLjUs
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P 7:
In a comparative trial in subjects from 11 years up to and including 15 years of age, the incidence of local and general solicited symptoms reported after a two-dose regimen of ENGERIX-B 20 μg was overall similar to that reported after the standard three-dose regimen of ENGERIX-B 10 μg.
Hepatitis B Vaccine: Engerix-B is a hepatitis B vaccine manufactured by GSK, which is routinely given to US infants.[t] How was it tested for safety? The vaccine package insert provides an exceptionally brief description: “The incidence of local and systemic reactions was comparable to those of plasma derived hepatitis B vaccines.”41 The package insert mentions another safety study, carried out in children aged 11 to 15 years, where both trial and control groups received the Engerix-B vaccine, though different dosing regimens were applied.42
https://drive.google.com/open?id=1K0vRj8CXuYtdhYUys4EPj2cG_niylk0I
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P 4:
In a US study, 773 subjects (aged 18 to 70 years) were randomized 1:1 to receive TWINRIX (0-, 1-, and 6-month schedule) or concurrent administration of ENGERIX-B (0-, 1-, and 6-month schedule) and HAVRIX (0- and 6-month schedule).
Twinrix, also made by GSK, is a combined hepatitis A and B vaccine. This vaccine was tested in clinical trials against a control group receiving the company’s single hepatitis A and B vaccines (Havrix and Engerix-B, respectively).43
https://drive.google.com/open?id=1LHJU_WAhXqewxvZJwWpRCRT7f4pHFaPk
Recombivax-HB is a hepatitis B vaccine produced by Merck. Surprisingly, its package insert does not mention any safety RCT in infants that was performed for this vaccine.44
In summary, the safety of the three hepatitis B vaccines routinely given to newborns has not been tested in a single randomized controlled clinical trial in which a control group received a placebo. As should be all too familiar by now, it’s “turtles all the way down” again.
Hepatitis A Vaccine: Two hepatitis A vaccines are routinely used in the United States:[u] the GSK Havrix vaccine and Merck’s Vaqta vaccine.
https://drive.google.com/open?id=1XGppC-tPGSWvEZNGK8kRY15nGz76lxSA
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P 5, 10
In a large-scale trial in Thailand with over 40,000 participants, GSK’s Havrix was compared with a control group which received Engerix-B, the company’s hepatitis B vaccine. In three other clinical studies, the trial groups received the Havrix vaccine concurrently with another vaccine and the control groups received several other vaccines (MMR, varicella, and more).45
The safety testing of Merck’s vaccine, Vaqta, was not much different.
https://drive.google.com/open?id=1IASUdLYQ1eUDFb8vXgFH61ZhJ9rJAfRd
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P 12, 22
https://drive.google.com/open?id=1LuPKwCve8Pguo-GJOzbOm1b9Hgu0Zn15
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P 11, paragraph 11. Description of the vaccine adjuvant. P 7 Table 5 (and table comments) – using the control group.
http://www.nejm.org/doi/full/10.1056/NEJM199208133270702#t=article+Methods
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Archive:
https://drive.google.com/open?id=1Wy_1jDh1YVupEU7whmdE5VbKvyt_y2Sk
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PMID: 1320740
Lead Author/Year: Alan Werzberger, 1992
Journal: The New England Journal of Medicine
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P 2:
Like the vaccine, each dose of the placebo — aluminum hydroxide diluent — contained 300 μg of aluminum and thimerosal at a 1:20,000 dilution.
According to FDA licensing documents, the vaccine was tested in two clinical trials:46 The first one (“Monroe”) had no control group, while the second, in addition to having no control group, administered Vaqta along with two other vaccines.[v] Vaqta’s package insert mentions several additional studies but none with a control group that received a placebo. It is interesting to note that contrary to the FDA licensing document, the package insert states that there was a control group in the “Monroe” study and that it received a placebo. A closer look reveals that the “placebo” used contained the vaccine’s aluminum adjuvant,[w] 47 and further examination reveals that it also contained the preservative thimerosal (a mercury-based substance removed from most vaccines in the early 2000s).48 As mercury is a potent neurotoxin and aluminum adjuvants are used because they stimulate a strong immune reaction, both of these substances are a far cry from being inert and safety-neutral.
https://drive.google.com/open?id=1NnEIia3vR_01iqYnq2wNDRWz_ZcvPo48
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P 5
https://pubmed.ncbi.nlm.nih.gov/6325909
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PMID: 6325909
Lead Author/Year: Weibel, 1984
Journal: NEJM
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P 1-2:
The placebo (Lot 909/C-H663) was identical in appearance to the vaccine in both lyophilized and reconstituted forms, but contained no virus material. The placebo consisted of lyophilized stabilizer containing approximately 45 mg of neomycin per milliliter.
https://pubmed.ncbi.nlm.nih.gov/6325909
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PMID: 6325909
Lead Author/Year: Weibel, 1984
Journal: NEJM
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P 5:
The minimal clinical reactivity reported in this trial confirms our previous experience with the vaccine. Among 914 initially seronegative children, only pain and redness at the injection site were reported more frequently among vaccine recipients than placebo recipients.
Measles, Mumps, Rubella, and Varicella (Chickenpox) Vaccine: Merck manufactures a single-dose varicella vaccine called Varivax. The safety section of its package insert mentions a “double-blind, placebo-controlled study” of 914 healthy children and adolescents, in which only two mild symptoms, pain and redness at the injection site, “occurred at a significantly greater rate in vaccine recipients than in placebo recipients.”49 Does that mean a real placebo was used in this trial? Definitely not. The paper describing the study reveals that the so-called placebo given to the control group was actually the test vaccine from which the viral component was removed.50 No wonder the rates of adverse events were similar between the trial and control groups.51 Another controlled study compared the safety of two different formulations of the Varivax vaccine. According to the leaflet, the safety profiles of the two formulations were comparable.
The two measles-mumps-rubella vaccines licensed for use in the US[x] are a 3-in-1 vaccine called MMR II, and a 4-in-1 vaccine (measles-mumps-rubella and varicella) called ProQuad. Both are manufactured by Merck.
https://drive.google.com/open?id=13MxSgUKzQwZ59M2YZ_9Hwtc_2l7tSQVh
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P 6, 8, 9-11.
ProQuad’s safety was tested in several randomized clinical trials, most of which were not blinded (“open label” studies). The largest RCT compared ProQuad to a control group that received the older-generation MMR II and the Varivax vaccine at the same time. Another study in children 4-6 years old divided the subjects into three groups: The first received ProQuad and “placebo”; the second, MMR II and “placebo”; and the third, MMR II and Varivax. In the open label studies, the participants of both trial and control groups received additional vaccines.52
https://drive.google.com/open?id=1IFm340mDs4z_GUMRASgVUWK8mzQnNpXx
The package insert for MMR II does not mention any safety trials.53 As with the polio vaccine (IPOL) described earlier, a FOIA request revealed that the vaccine was tested in the mid-1970s in eight small clinical trials.54 The control groups in all of the trials received either the predecessor vaccine (MMR), a measles-rubella (MR) vaccine, or a single-dose of the rubella vaccine. A total of approximately 850 children received MMR II. Some of the trials seem to have been randomized, but none were blinded. These trials, considered either singly or in combination, do not meet the current requirement of a Phase 3 randomized controlled trial, which might explain their complete absence from the package insert.
Finally, let’s examine how the original MMR vaccine, licensed in 1971, was tested before getting the nod from the regulator. Will we find a placebo-receiving control group in this legacy vaccine’s trials? Well, almost. Similar to MMR II, the original MMR was tested in a few small-to-medium trials wherein the newer vaccine was given to a total of more than 1,000 infants and children. The control groups’ subjects totaled about one tenth that number, and most of them were siblings of the vaccinated children (which violates the randomization principle). The control group participants received no injection at all, which means the studies were not blinded; everyone knew who got the vaccine and who didn’t. As with MMR II, the MMR trials fail to meet the Phase 3 RCT bar.55
Evidently, the safety of the MMR line of vaccines, like the rest of the vaccines in the US childhood vaccination program, was tested according to the de facto industry rule of “turtles all the way down”.
As we’ve clearly illustrated in the preceding sections, not one of the vaccines the CDC recommends all American children receive was tested for safety in a Phase 3 clinical trial where the control group received an inert placebo. All the vaccines reviewed in the preceding pages – of which tens of millions of doses are administered to infants and toddlers in the US every year – were tested in trials which did not include any control group at all, or ones in which the so-called control group received at least one other vaccine.
Is it just coincidence that none of these vaccines has been tested against a true placebo, despite the fact that in many cases doing so would have been easier, cheaper, and yielded more valid results than the testing that was done? Is it just an accident of fate that the accepted methodology of all childhood vaccine trials obscures the real rate of adverse events of the new vaccine? That seems highly improbable.
As explained at the start of this discussion, testing the safety of a next-generation vaccine against its predecessor is justifiable on ethical grounds: Withholding an existing and proven treatment from control group subjects would be immoral. However, there is no justification for conducting a chain of trials (turtle upon turtle upon turtle) that ultimately stands on nothing but air. Moreover, what possible rationale could justify trials for new vaccines wherein the control groups receive other (sometimes experimental) vaccines? Would a safety trial for a new cigarette have any credibility at all if the “control” group consisted of subjects who smoked a different kind of cigarette?
Whether or not you believe this trial methodology is ethical, its consequence remains the same: The true rate of adverse events of routine childhood vaccines is virtually unknown; therefore, there is no scientific basis for claiming they’re safe.
The fact that we don’t know how often childhood vaccines hurt the children who receive them casts a dark shadow over the legitimacy of vaccine programs the world over. But that is not all. Even worse, as we shall shortly see, safety trials conducted for some childhood vaccines blatantly and seriously violate the medical code of ethics. In any vaccine clinical trial, a balance must be struck between the vaccine’s potential benefits (disease protection) and potential risks (adverse events). When control subjects in vaccine trials receive another type of vaccine, even if it’s done in order to obfuscate the real rate of adverse events of the vaccine being tested, the compound they receive is at least of some potential benefit to them. However, in the rotavirus vaccine trials this imperative ethical risk-to-benefit balance was blatantly violated.
https://drive.google.com/open?id=1Dml_DhOUJWX5LlKr-9gM7olmHwlQVwFQ
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Author/Year: Federal Register, 2013
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P 3-4
Designing clinical trials for the RotaTeq and Rotarix vaccines was particularly challenging for their manufacturers, Merck and GSK, respectively. To begin with, the first rotavirus vaccine brand (RotaShield) was recalled from the market56 after it was found to significantly increase the risk of intussusception, a highly dangerous condition in infants.[y] This meant that clinical trials for the new rotavirus vaccines had to adhere to higher safety standards. In addition, the companies faced an equally serious problem: With RotaShield off the market, there was no suitable vaccine to give to control group subjects.
A rotavirus vaccine dose, a few drops of an opaque liquid, is consumed orally.[z] Hence, the control group in its clinical trials could not receive a vaccine administered via injection as it would violate the RCT blinding principle. If the trial group were vaccinated orally, while the control group was injected, it would be easy to tell the two groups apart. At the time the rotavirus vaccine trials began, there was no other orally ingested vaccine licensed for use. The use of the live polio vaccine (OPV), also consumed by mouth, was terminated in Western countries several years earlier.[a2] As a result, there was no oral vaccine available to compare with rotavirus vaccines in clinical trials.
Another option would be to give the control group a few drops of a neutral liquid, such as a solution of sugar or salt water. These compounds are safe, inexpensive and convenient to use – ideal for the purpose of testing the vaccine’s efficacy and safety. Because these were entirely new vaccines, which had no alternative, there were no ethical objections to using such a solution.
https://clinicaltrials.gov/ct2/show/NCT00090233?term=rotavirus&rank=24
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Archive:
http://archive.is/8eGQQ
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For Rotarix, its noted: "The study has two groups: Group HRV and Group Placebo"
https://clinicaltrials.gov/ct2/show/NCT00140673?term=rotavirus&rank=65
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Archive:
http://archive.is/LqCpd
So, on the one hand, rotavirus vaccine manufacturers did not have a ready-made vaccine available for use in the control group, and on the other, there was no impediment to using a cheap, available and effective substance, such as sugar water. How, then, did they choose to conduct their Phase 3 clinical trials? A preliminary examination of the clinical trial record of the rotavirus vaccine shows that the control groups in the RotaTeq and Rotarix trials received… a placebo!57 Was this, then, the industry’s first breach of the sacred tradition that vaccines never be tested against a true placebo? Were the rotavirus vaccine trials the first to provide reliable and relevant information about the rate of adverse events of a childhood vaccine?
The answer to these questions is, unfortunately, “no and no”.
https://drive.google.com/open?id=1LNjfqQDrsaQEdaZ0MYNkc_YfIrOz2kto
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P 24:
The placebo consisted of all components of Rotarix, but without any RV particles.
Examining one of the licensing documents submitted to the FDA by GSK58 indicates that the placebo received by the control group in the main Rotarix trial (which included approximately 63,000 infants) is nothing but the tested vaccine without its antigenic component.[b2] This compound, the vaccine-sans-antigen (sans means without), is well suited for testing the efficacy of the vaccine as it does not produce rotavirus antibodies. However, when it comes to safety, it’s a whole different ballgame: The vaccine-sans-antigen is a potentially potent compound whose side effects are likely to be quite similar to those of the vaccine being tested.
https://drive.google.com/open?id=1T5ZQZYINtJhdrYGHrwSZ1M5HWFKf4dK8
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P 37
https://www.ncbi.nlm.nih.gov/pubmed/17200266
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PMID: 17200266
Lead Author/Year: Stan L. Block, 2007
Journal: Pediatrics
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P 2:
The placebo was identical to the vaccine except that it did not contain the rotavirus reassortants or trace trypsin.
And what was the placebo in Merck’s RotaTeq vaccine trial? That’s difficult to say because Merck deleted its description from the licensing document submitted to the FDA.59 It appears that the trial’s placebo is a trade secret, which implies its contents were very similar to the vaccine’s. Further examination of RotaTeq documents supports this hypothesis: In another RotaTeq clinical trial, the control group received the vaccine-sans-antigen, similar to the compound control group subjects received in the Rotarix trial.60
https://www.nejm.org/doi/full/10.1056/NEJMoa052434
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Archive:
https://drive.google.com/open?id=1BFeBUKyHVq9msLCtJLdY3bHJsIIQ4pS3
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PMID: 16394298
Lead Author/Year: Guillermo M. Ruiz-Palacios, 2006
Journal: The New England Journal of Medicine
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P 15-17
https://www.nejm.org/doi/full/10.1056/NEJMoa052664
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Archive:
https://drive.google.com/open?id=18tKqyoOx5aSXdOCwFiSfffbqMzVIsY2W
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PMID: 16394299
Lead Author/Year: Timo Vesikari, 2006
Journal: The New England Journal of Medicine
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P 28-30 (6-8)
The bioactivity of the compounds given to the control groups in rotavirus vaccine trials was seemingly apparent in the rate of adverse events reported in the trials. In the Rotarix trial, about 1 in 30 control group subjects experienced a “severe” medical event (a rate which was even slightly higher than that of the trial group), and a similar proportion of participants was hospitalized. In addition, 16 infants suffered intussusception and 43 died.61 In the RotaTeq trial, similar rates were recorded in the control group: Serious adverse events were reported in 1 of every 40 subjects, 15 suffered intussusception, and 20 infants died.62
https://drive.google.com/open?id=1b1rURgJfPiXgg3HGZtYzhpKnjv7ZW-P0
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P 5:
No increased risk of intussusception was observed in this clinical trial following administration of ROTARIX when compared with placebo
https://www.ncbi.nlm.nih.gov/pubmed/22695189
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PMID: 22695189
Lead Author/Year: F. Raúl Velázquez, 2012
Journal: The Pediatric Infectious Disease Journal
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P 1:
The attenuated human rotavirus vaccine was not found to be associated with an increased risk of intussusception in a large prelicensure placebo-controlled, clinical trial involving 63,225 infants in 11 Latin American countries and Finland.
—————————
Article Name: Risk of Intussusception After Rotavirus Vaccination: Meta-analysis of Postlicensure Studies
https://journals.lww.com/pidj/fulltext/2015/07000/Risk_of_Intussusception_After_Rotavirus.18.aspx
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Archive:
https://drive.google.com/open?id=172UmbRygo9WBW9iza1NlNk3A0-7uV057
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PMID: 26069948
Lead Author/Year: Dominique Rosillon, 2015
Journal: The Pediatric Infectious Disease Journal
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P 1:
No increased risk of serious adverse events, including intussusception, was detected in prelicensure clinical studies of either RV1 or RV5, including 2 randomized, controlled trials each involving over 60,000 infants.
Using the word placebo to describe the vaccine-sans-antigen leaves the false impression that it is a safe compound that has no side effects of its own. Formal documents, which reference the rotavirus vaccine trials, rely on the supposed biological neutrality of that “placebo”. One example is the Rotarix vaccine package insert, which states in the clause discussing the rate of intussusception reported in pre-licensure trials: “No increased risk of intussusception was observed in this clinical trial following administration of ROTARIX when compared with placebo.”63 (The trial in question is the same trial referenced above. There are plenty of other examples, too).64 Nowhere is there any reference to the actual contents of that “placebo”.
The rotavirus vaccine makers were evidently able to find a creative solution to the challenge they faced. They gave their trials’ control groups compounds that were very similar to their vaccines, and – as was, no doubt, expected – the resultant rates of adverse events were not significantly different from those observed in the trial groups. In future trials of next-generation rotavirus vaccines, GSK and Merck will be able to give their control groups the standard “placebo” – the currently licensed vaccine – whose safety “was already proven” in its pre-licensure trials.
But there’s a fly in this sticky ointment.
https://www.springer.com/gp/book/9783642201943
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Author/Year: Michelle Roth-Cline, 2011
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P 228:
In assessing whether an intervention or procedure presents no more than a minor increaseover minimal risk, there must be sufficient data that any research-related pain, discomfort or stress will not be severe and that any potential harms will be transient and reversible.
As previously discussed, the ethical standards for using children as subjects in clinical trials are exceptionally high. Clinical trial designers must ensure that planned procedures are balanced with respect to the expected benefit and risk to the participating infant or child. If a child subject is likely to receive no benefit, the potential harm must be “minimal” or only “slightly above the minimum”, and by no means permanent or irreparable. In addition, the risks associated with any procedures must be well-known in advance.65
In stark contrast to the standards above, tens of thousands of infants in the control groups of the rotavirus vaccine trials received compounds that could provide no potential benefit to the recipient yet carried significant risk. Neither GSK’s nor Merck’s vaccine-sans-antigen could possibly prevent rotavirus as they did not contain the antigenic particles that evoke immune reactions to the virus. On the other hand, these compounds had significant potential to cause harm, as demonstrated in the trials. (Remember, 1 in every 30 or 40 control group subjects experienced a serious adverse event). In addition, the safety profiles for the vaccines-sans-antigens were unknown (and, for all we know, still are) as they were new compounds specifically formulated for the rotavirus trials with no documentation of past safety studies. Hence, the health risks associated with administering them to infants was undetermined.
To sum up, tens of thousands of infants were given an utterly useless compound whose safety was unknown and whose side effects could be (and probably were in some cases) severe and permanent. Thus, the Phase 3 clinical trials of the rotavirus vaccine constitute blatant violations of the medical code of ethics.
This ruthless breach of ethics and morality is highlighted by the fact that there was no scientific justification for giving the vaccine-sans-antigen to the control group other than a malicious intention to conceal the experimental vaccine’s true rate of adverse events. Using a real placebo that posed no health risk – a few drops of sugar or salt water – would have cost less and led to more scientifically valid conclusions by enabling straightforward calculations of the true adverse event rates as well as vaccine efficacy.
The manner in which the rotavirus vaccine trials were conducted raises grave questions which should not be directed solely toward the vaccines’ manufacturers. The FDA supervises the vaccine approval process, and it is the FDA that approved these trials.[c2] The vaccine also received CDC approval and that of other health authorities around the world, even though its pre-licensure trials unnecessarily endangered tens of thousands of children and may have caused serious harm to hundreds, as well as dozens of needless deaths.
The Declaration of Helsinki is the ethical code governing the conduct of human medical experimentation. The Declaration was formulated for the medical-scientific community by the World Medical Association and is considered the ethical cornerstone of the medical research field. It leaves no doubt as to the ethical violations perpetrated in the rotavirus trials:
Physicians may not be involved in a research study involving human subjects unless they are confident that the risks have been adequately assessed and can be satisfactorily managed. When the risks are found to outweigh the potential benefits […] physicians must assess whether to continue, modify or immediately stop the study.
https://www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/
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Author/Year: WMA, 1964
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Archive:
http://archive.is/4r8lC
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Paragraph 18:
18. Physicians may not be involved in a research study involving human subjects unless they are confident that the risks have been adequately assessed and can be satisfactorily managed. When the risks are found to outweigh the potential benefits or when there is conclusive proof of definitive outcomes, physicians must assess whether to continue, modify or immediately stop the study.
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Paragraph 18:
26. For a potential research subject who is incapable of giving informed consent, the physician must seek informed consent from the legally authorised representative. These individuals must not be included in a research study that has no likelihood of benefit for them unless it is intended to promote the health of the group represented by the potential subject, the research cannot instead be performed with persons capable of providing informed consent, and the research entails only minimal risk and minimal burden.
. . . [A] potential research subject who is incapable of giving informed consent [...] must not be included in a research study that has no likelihood of benefit for them unless […] the research entails only minimal risk and minimal burden.66
https://drive.google.com/open?id=1zCEx9tvA_1vs4KycwYUU9uQ1GHC0mXp6
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Author/Year: U.S. Government, 1949
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P 1 item 4:
The experiment should be so conducted as to avoid all unnecessary physical and mental suffering and injury.
http://apps.who.int/iris/bitstream/handle/10665/94056/9789241506250_eng.pdf
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Author/Year: WHO, 2013
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Archive:
https://drive.google.com/open?id=1yLHGu4pO0K2xUZmNsE4RyxrbUtkq382y
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P 12:
The research must have a risk–benefit profile judged to be favourable, based on sufficient evidence from previous clinical and non-clinical studies (i.e. the expected benefits of conducting the research must outweigh any associated potential risks). There is an ethical obligation to introduce measures to reduce the risks to all trial participants.
The Nuremberg Code, the medical code of ethics established in the late 1940s to bring Nazi doctors to justice, constitutes the basis of the Declaration of Helsinki. It too underlines the immorality of the rotavirus vaccine trials: “[An] experiment should be so conducted as to avoid all unnecessary physical and mental suffering and injury.”67 A similar conclusion was also reached by a World Health Organization (WHO) committee that recently examined placebo use in clinical trials.68
Ponder it as you will, you won’t find a satisfactory explanation for the way the rotavirus vaccine trials were conducted other than the malicious desire to assist the manufacturers in obscuring and concealing the vaccines’ true adverse event rates. This demonstrates that the public health establishment is willing to go to great lengths to maintain the pretense of vaccine safety, casting aside medical ethics and even fundamental principles of morality in the process.
Table 1 summarizes the safety testing performed in Phase 3 clinical trials for the vaccines included in the CDC-recommended childhood vaccination program.
Table 1: The control group in Phase 3 clinical trials of CDC's routine childhood vaccines
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As summarized in the table above, the manufacturers’ package inserts and FDA licensing documents indicate that none of the US routine childhood vaccines has been tested against a true placebo. It is very unlikely that new documents which attest to the opposite will suddenly appear. It is also highly improbable that a new technique for calculating the true rate of vaccine adverse events in an RCT by comparing it to population background rates or to a non-placebo control group will miraculously emerge. A moral justification for giving control group infants a compound that could seriously harm them, while providing them with no potential benefit, will also not be forthcoming anytime soon.
However, because the arguments made in this chapter undermine the very foundations of the childhood vaccine program, devout believers in the “vaccines are safe and effective” mantra try hard to refute them. Their popular arguments and suggested responses are presented below.
Important Note: When addressing alleged refutations to the content of this chapter, the first response should be to politely request scientific references backing them up. When facing the inevitable and grave consequences of the material presented in this chapter, vaccine proponents sometimes resort to baseless, even borderline imaginary, claims. In many cases, asking for a valid scientific reference that backs up a claim will quickly put the argument to rest.
“A placebo in vaccine clinical trials is only used for the purpose of testing vaccine efficacy.” – This is a bizarre claim which has no scientific basis (just ask for a scientific reference – you won’t get one). A (real) placebo given to the control group in a vaccine clinical trial provides a “background rate” for both efficacy and safety. Therefore, in a trial which has a placebo group, both vaccine efficacy and the incidence of adverse events could be easily calculated by comparing results in trial vs. control groups.
“It is unethical not to give the control group another vaccine.” – The practice of always testing vaccines against other vaccines gives rise to the “turtles all the way down” scenario, where the true rate of adverse events of any childhood vaccine is never determined. In fact, the opposite is true: It is unethical not to conduct at least one trial from which one can reliably estimate the rate of adverse events before a vaccine is licensed and widely used.
As reviewed in this chapter, medical ethics guidelines permit the administration of a placebo to a control group in a clinical trial of a completely new vaccine and to a control group in a three-arm trial of a next-generation vaccine.
“When testing a next-generation vaccine, it is unethical not to give the control group the current vaccine.” – This argument is similar to the previous one, but focuses specifically on the next-generation vaccines. It certainly makes sense to test the safety of a next-generation vaccine against the current one, but if the current vaccine has never been previously tested against a placebo, it is “turtles all the way down” again; that is, the data collected from the vaccine’s clinical trials is inadequate for establishing a true safety profile.
The solution to the above is straightforward: Conduct a three-arm trial with next-generation vaccine, current vaccine, and placebo groups. This allows the comparison of the safety of the new vaccine to the existing one, as well as obtaining an estimation of the absolute rate of the new vaccine’s adverse events (by comparing it to placebo). A trial of this kind has never been conducted for any of the routine childhood vaccines.
“It is sufficient to test a new vaccine against another vaccine whose rate of adverse events was determined in a previous trial (or measured for a country/region/city population).” – As explained in the chapter, the results of one randomized controlled trial (RCT) cannot be compared to that of another RCT, nor to population “background rates” (even if those are known, which is uncommon) because it violates randomization. Known or unknown differences may exist between the studies’ populations that could potentially skew the results significantly. Vaccine package inserts, which are published by the manufacturers and approved by health authorities, state this explicitly.
“It is sufficient to test a next-generation vaccine against the current vaccine, as the current vaccine has already been given to millions over many years and proven safe.” –The argument implies that if we know that a certain current vaccine is safe and a control group in a next-generation vaccine trial is given that vaccine, then if adverse events are comparable between the groups, it can be concluded that the new vaccine is also safe for use.
First, this presupposes that the current vaccine is safe. But we cannot make that assumption if the current vaccine itself was tested in clinical trials designed to obfuscate its true rate of adverse events. That is, the industry’s “gold standard”, the RCT, was “cooked” (as was the case in this chapter’s examples) in order to hide the health risks of the tested vaccine. Instead, we must base our judgment of its safety on inferior studies[d2] performed only after the vaccine has been on the market for several years.
https://drive.google.com/open?id=1CFrePXwN-q5ywCnuflnwLjUwScsLPvBU
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P 61 Table 50
Secondly, without a placebo control group there is no way to prove that the vaccine being tested is actually safe. For example, in one of the DTaP vaccine trials, 1 in every 22 subjects in the trial group was admitted to the hospital. A similar hospitalization rate was also reported in the control group (which received the older-generation DTP vaccine).69 Is this a normal background rate? Would nearly 5% of all infants really end up in the hospital if they didn’t receive these vaccines? Should we regard both these vaccines, which appear to cause an alarmingly high rate of hospitalizations, as “safe” simply because they have similar hospitalization rates? Or is the reality that neither of them are safe? Definitive answers to these questions could only be obtained by adding a placebo group to the trial. Only then could we calculate a meaningful baseline hospitalization rate that could be put to good use in evaluating the vaccine’s safety.
In any case, the above claim is irrelevant for trials of entirely new vaccines for which there are no valid reasons not to use a real placebo control.
“The safety of the [xyz] vaccine was extensively studied after it was approved for wide use and was found to be excellent.” – Statistical (epidemiological) studies, which are typically conducted only after a vaccine has been in wide use, are considered inferior to RCT studies. The RCT is the industry’s “gold standard”, and every new vaccine must undergo such a trial before it is approved for use. It would not be acceptable or reasonable to approve a vaccine for use without adequate clinical studies, and then, after it was administered to millions of babies, retroactively endorse it based on methodologically inferior studies.
“The assertion that vaccines are never tested against a placebo is false. Here are some references to vaccine clinical trials in which the control group received a real placebo.”70 – The claim made in this chapter is not that vaccines in general are never tested against placebo in their pre-licensure process. Rather, it is childhood vaccines recommended by the CDC that were never tested against a placebo. The references provided to support the above statement do not refute this claim, as they link to trials of adult vaccines, or vaccines that are not used in the United States. In fact, these references reinforce this chapter’s arguments, as they demonstrate that using a placebo control group in a vaccine RCT is valid, feasible, methodologically sound, and ethical.
“Contrary to your claim, a placebo is not mandatory in a vaccine clinical trial. Instead, the control group could be given nothing (i.e., no intervention).” – In a double-blinded randomized controlled trial (RCT), the control group must receive a compound that looks the same and is administered in the same way as the tested compound. This eliminates potential reporting bias. For example, subjects who know they received the experimental vaccine are more likely to report adverse events than control group participants who received no intervention. This rule also applies to trials with infant subjects even though it is generally believed they are not affected by this bias, because their parents, who are usually present at the time of vaccination, can certainly be affected.
In any case, there are no current childhood vaccines that were tested in clinical trials that included a no-intervention control group, which renders the above claim irrelevant.
“The vaccine-sans-antigen that was given to the control group in the rotavirus trials is a safe compound since it is made of a mixture of ingredients, each of which is generally considered to be safe.” – This is yet another baseless claim that has no scientific or factual basis. Even if we presuppose that the individual ingredients in the compound given to the control group in the rotavirus trials were harmless, we cannot assume their specific mixture was harmless, too. This is a fundamental tenet of drug and vaccine testing methodology: A compound’s safety is not the sum of the safety of its parts. Thus, we cannot presume its safety based on a theoretical calculation of the aggregated safety of its ingredients. It must be clinically tested before it is approved for wide use (even more so, if given to babies).
Additionally, in the case of the rotavirus vaccine trials, neither the manufacturers nor the licensing bodies claimed that the vaccine-sans-antigen that was given to the control group was considered, or proven to be, safe or that its safety profile was known. If anyone claims the opposite, they must provide the scientific references to back it up.
Giving the control group the vaccine-sans-antigen is the proper way to test the vaccine’s antigen efficacy and safety.” – Once again, this is a baseless claim that has no scientific merit. A clinical trial in which the trial group receives the test vaccine and the control group the vaccine-sans-antigen compares two experimental compounds whose safety profiles are unknown. Therefore, such a trial design precludes calculation of the true rate of adverse events of the test vaccine. For a valid determination, the control group should receive a placebo, which is a compound whose rate of adverse events is known and is very close to zero. In clinical trials using vaccine-sans-antigen compounds in the control group (for example, the rotavirus vaccine trials), researchers reasoned that “no significant difference in the rate of adverse events was observed in trial and placebo groups.” However, this claim is critically flawed, since the “placebo” given to the control group was not neutral (i.e., one which had zero side effects), but rather a bioactive compound whose rate of side effects was unknown.
In addition, the safety of the vaccine antigen is irrelevant as it is not administered by itself, but rather in combination with all the vaccine’s other ingredients. It’s the safety of the vaccine as a whole that matters, and that is not best tested by comparing it to the vaccine-sans-antigen.
In any event, the above discussion should only be considered theoretical, since administering a potentially harmful substance with no potential benefit to infants in a clinical trial violates the medical code of ethics as well as fundamental moral principles.
“It is inconceivable that every doctor and researcher in the entire world would approve, or retroactively approve, of a flawed methodology for testing vaccines’ safety before they are licensed. Are all of them taking part in a huge conspiracy?” – Providing a complete and comprehensive answer to this claim goes beyond the scope of this chapter. In short, the vast majority of physicians and researchers are completely unaware of the manner in which vaccine safety trials are designed and conducted and the methodological flaws inherent in that process.
Regardless, this claim is essentially irrelevant, as it does not directly answer the arguments presented in the chapter and therefore cannot refute them. A doctor or researcher who has studied vaccine safety and maintains there are no flaws in their licensing process should respond directly to the arguments made in this chapter instead of asking the public to blindly agree based on professional authority alone.
Vaccines, as opposed to drugs, are given to healthy babies and thus must meet a particularly high safety standard. Clinical trials of new vaccines must be impeccably designed and performed, thereby providing high-quality, reliable data about the products’ efficacy, and more importantly, about their safety. Anything less is socially and morally unacceptable.
Vaccine manufacturers and health authorities worldwide frequently assure us, the public, that vaccines are tested at the highest possible level and that the rigorous series of clinical trials they undergo as part of the licensing process ensures that vaccines are truly safe and effective.
These assurances, however, are meaningless at best and deliberately misleading at worst.
As we have seen in this chapter, vaccine trials are designed and performed in such a way as to ensure that the true extent of adverse events is hidden from the public. There is not a single vaccine in the US routine childhood vaccination program whose true rate of adverse events is known. The assertion that vaccines cause serious side effects in “one in a million” vaccinees contradicts the results of numerous clinical trials in which serious adverse events were reported in 1 in 40, 30, or even as few as 20 vaccinated infants. After becoming acquainted with the finer details of vaccine safety trials, hearing the familiar tune of “a similar rate of adverse events was reported in the control group” (which received another vaccine or similar compound) comes off as ludicrous, cynical, and patently immoral.
Current vaccine clinical trial methodology completely invalidates the claims that vaccines are safe and that they are thoroughly and rigorously tested. And pulling out that bogus card completely topples the childhood vaccine program’s house of cards, as officials’ assurances of vaccine safety rely primarily on deliberately flawed, industry-sponsored clinical trials.
Furthermore, some of the clinical trials that have been conducted for routine childhood vaccines, which were approved by relevant health authorities, blatantly violated the medical code of ethics (the Declaration of Helsinki) and fundamental principles of morality. In these trials, infants in the control groups were given completely useless compounds (an antigen-free vaccine) whose safety was unknown and which had the potential to cause serious and irreversible damage to health, including death.
Any reader looking for a quick and definitive understanding of the truth about vaccine safety – well, you can put this book down right now. You have your answer: The entire vaccine program is based on a deliberate cover-up of true vaccine adverse event rates. This seemingly mighty fortress, carefully constructed over many decades and fortified by countless officials, researchers, and physicians – actually stands on nothing but turtles all the way down.
Ask your doctor:
- Was the vaccine that you are recommending tested in a pre-licensure clinical trial with a (real) placebo control group? If not, how do you (or anyone else, for that matter) calculate its true rate of adverse events?
- Is it morally acceptable to conduct a clinical trial in infants for a new vaccine, where the “control group” receives an untested compound, i.e., the vaccine-sans-antigen, which is likely to cause irreversible side effects and has no potential benefit?
Isaac,[e2] his parents’ only child, came into the world in a normal, uneventful birth. Although his head was smaller than average (a condition known as microcephaly),[f2] he developed normally in the first few weeks of life. At the age of two months, Isaac’s mother took him to the pediatrician’s office for his first “well-baby visit” and first round of vaccinations.[g2] The doctor, noticing that Isaac’s head circumference was smaller than average, was hesitant. She consulted with a colleague and eventually decided to administer only the pentavalent DTaP-IPV-Hib vaccine, which protects against five different diseases.[h2]
In the days following his well-baby visit, Isaac cried for hours and hours. In addition, behavioral patterns that his parents had not observed before began to emerge. At times, his gaze got “stuck” to one side for several seconds. His mouth occasionally “locked”, and he insisted on breastfeeding from one side only (as his mother realized later, these were signs that Isaac was having mild convulsions). Two weeks later, after crying constantly for hours, Isaac lost consciousness and stopped breathing. His grandfather, who arrived on the scene before the ambulance arrived, resuscitated him, saving his life.
At the hospital, the doctors suspected Isaac was suffering from congenital epilepsy and wanted to begin drug treatment. His mother, however, insisted they perform an electroencephalogram (EEG) to verify their conjecture. The EEG was negative. The neurologist who examined him believed that Isaac’s seizures were caused by the pertussis component of the pentavalent vaccine. He recommended that Isaac not be vaccinated further with that vaccine and that he skip the MMR vaccination at 12 months as well.
Following this recommendation, at four months Isaac was given only a monovalent polio vaccine instead of the multiple vaccines that were normally given at this age. Shortly thereafter, the seizures reappeared and lasted for about three weeks. Similar symptoms appeared after Isaac’s next dose of the polio vaccine at age six months, after which the neurologist instructed his mother to stop vaccinating him altogether.
Sadly, the doctors didn’t stop vaccinating soon enough for Isaac and his family. Isaac, now four years old, was badly injured and permanently disabled. He is unable to sit up by himself or stand without assistance and cannot hold objects with his hands.
Apart from the devastation wreaked upon one child and his family, Isaac’s sad story highlights the failure of the healthcare system to prevent serious harm to infants by screening out those who would be susceptible to vaccine injury. Although his doctor recognized Isaac’s microcephaly as a potential susceptibility, due to a lack of relevant medical expertise and diagnostic tools, she was unable to make an informed medical decision regarding his vaccinations. After witnessing the first signs of injury following the pentavalent vaccine Isaac received, the neurologist mistakenly assumed that the pertussis component alone caused Isaac’s seizures. This arbitrary and erroneous assumption led to Isaac receiving two more doses of the monovalent polio vaccine, which resulted in further, apparently irreversible, deterioration in his health.
David was also born with microcephaly. Unlike Isaac, David’s pediatrician detected his potential susceptibility to vaccine injury before he received his first round of vaccines. His doctor ordered a series of specialized genetic, immunological, and neurological diagnostic tests. Following the results of the tests, and after consulting a specialist, the doctor gave David a personalized vaccination schedule tailored to his specific medical profile. As recommended in his individualized plan, David began receiving vaccinations at age 12 months and subsequently received only a handful of vaccines which were determined to pose only a low risk to him. In addition, he was administered only one vaccine at a time, and only if he had been healthy in the preceding three weeks.
David’s personalized vaccine program achieved its goal: He received all of his prescribed vaccines without suffering significant side effects. In his case, the innovative array of vaccine susceptibility testing implemented in the US healthcare system in recent years made a big difference. This progress in medical practice, which David’s doctor exploited so effectively, was based on research from thousands of scientists from around the world. These researchers laid the theoretical groundwork required to understand the biological mechanisms that underlie vaccine adverse events and helped develop practical tools for preventing most of them. These tools include screening for genetic susceptibilities, assessing potential adverse consequences of vaccinating during or shortly after an illness, testing for sensitivities to specific vaccine components, and modeling the potential cross-reactions of multiple vaccines administered simultaneously.
Sounds impressive, right? Unfortunately, while Isaac’s story is a genuine and painful reminder of the medical establishment’s impotence when it comes to preventing vaccine injury, David’s story is entirely… imaginary. A “science fiction” story, if you will.
It is widely agreed that vaccines are the linchpin of public health and that they have played a major role in decreasing mortality and morbidity from infectious disease for the past 150 years. Hundreds of millions of vaccine doses are administered yearly in the United States alone, and many more worldwide. Given the primary importance of vaccination, it could reasonably be expected that, as depicted above in David’s fictional case, vaccine safety would be, and always had been, thoroughly and diligently investigated by scientists and doctors worldwide, and that a vast body of theoretical and practical knowledge had accumulated in this field.
The reality, it turns out, is quite different. At present, officially sanctioned medical science knows very little about the harmful effects of vaccines. It cannot, and does not, anticipate which children will be injured by vaccination, in what manner, or to what extent.
What’s worse is this lack of knowledge is not accidental. It is the inevitable consequence of more than sixty years of deliberate inaction.
The first vaccine that was introduced in a nationwide campaign in any country in the modern era was Jonas Salk’s polio vaccine.[i2] This groundbreaking vaccine was given to US children beginning in 1955 and was soon adopted by many countries around the world.
More than sixty years have passed since the cornerstone of the modern vaccine program was laid. Since then, dozens of vaccines for numerous diseases have been developed and marketed, and tens of billions of vaccine doses have been administered to billions of people worldwide, most of them infants and children. Over the last several decades, countless studies have been conducted in the field of vaccinology and related medical fields. However, only a tiny fraction of those have sought to improve our fundamental understanding of the biological mechanisms that underlie vaccine side effects. As will be shown below, sixty years of modern vaccine research has provided precious little theoretical or practical insight into exactly how vaccines hurt people like Isaac. As of today, fundamental questions pertaining to this topic remain largely unanswered: How can one recognize and diagnose vaccine adverse events? What are their possible causes? Which individuals are at increased risk of vaccine injury? What factors affect the severity of a vaccine injury? How can we treat vaccine-related health conditions effectively? Remaining unanswered, these critical questions highlight the regrettable fact that medical science has failed to develop biological models that explain the mechanisms underlying the majority of vaccination injuries, as well as effective protocols for treating them.
A bold claim such as this one obviously requires compelling evidence. In order to compile such evidence, a comprehensive review of the relevant scientific literature must be performed. One must browse through thousands, or possibly tens of thousands, of scientific papers, identify those that actually deal with the subject, examine their methodology, tabulate their findings, analyze the resulting data, and finally, formulate conclusions. Fortunately, an intrepid organization took on this Herculean task for us: the US Institute of Medicine.
Part of the American National Academy of Sciences, the Institute of Medicine (IOM)[j2] is a nonprofit, non-governmental organization that serves as an advisory body to the nation on medical and health issues. Its role is to provide objective and reliable information and advice to policymakers, the medical profession, and the public. The organization is made up of volunteer health professionals from various healthcare sectors who are nominated based on their expertise and past accomplishments. The IOM initiates most of its investigations following formal requests coming from the federal government and its agencies. A small share of the research is done at the request of the business sector.
http://nationalacademies.org/hmd/reports/2001/immunization-safety-review-measles-mumps-rubella-vaccine-and-autism.aspx
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Author/Year: IOM, 2011
http://www.nationalacademies.org/hmd/reports/2001/Immunization-Safety-Review-Thimerosal---Containing-Vaccines-and-Neurodevelopmental-Disorders.aspx
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Author/Year: IOM, 2001
http://www.nationalacademies.org/hmd/Reports/2003/Immunization-Safety-Review-Vaccinations-and-Sudden-Unexpected-Death-in-Infancy.aspx
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Author/Year: IOM, 2003
https://www.nap.edu/catalog/10997/immunization-safety-review-vaccines-and-autism
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Author/Year: IOM, 2004
http://nationalacademies.org/hmd/reports/2013/the-childhood-immunization-schedule-and-safety.aspx
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Author/Year: IOM, 2013
The IOM has published a number of vaccine-related reports over the last 20 years. These reports have dealt with topics such as the link between the MMR vaccine and autism (2001),1 the association between thimerosal-containing vaccines and neurological disorders (2001),2 vaccines and sudden infant death syndrome (2003),3 vaccines and autism (2004),4 the safety of the US national vaccine program (2013),5 and more. Evidently, these reports have tackled the “hottest” topics in the field, issues that were, and still are, the focus of intense debate between vaccine advocates and their critics. The conclusions of these IOM reports, as well as other IOM vaccine-related reports, have been overwhelmingly and unequivocally supportive of the federal agencies that govern the US vaccination program[k2]and the policies they implement.
http://nationalacademies.org/hmd/reports/2011/adverse-effects-of-vaccines-evidence-and-causality.aspx
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Author/Year: IOM, 2011
http://nationalacademies.org/hmd/reports/2011/adverse-effects-of-vaccines-evidence-and-causality.aspx
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Author/Year: IOM, 2011
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P 30 (59):
In 2009 HRSA requested that the IOM convene a committee of experts to review the epidemiological, clinical, and biological evidence regarding adverse health events associated with specific vaccines covered by the VICP. The committee was charged with developing a consensus report with conclusions on the evidence bearing on causality and the evidence regarding the biological mechanisms that underlie specific theories for how a specific vaccine is related to a specific adverse event.
In 2011, in response to a request submitted by the US Department of Health in 2009, the IOM issued a special report on vaccine adverse effects.6 The IOM was asked to convene an expert committee “to review the epidemiological, clinical, and biological evidence regarding adverse health events associated with specific vaccines covered by the [vaccine program]” and to state its opinion on “the evidence bearing on causality, and the evidence regarding the biological mechanisms that underlie specific theories for how a specific vaccine is related to a specific adverse event.”7 In short, it was asked to examine whether vaccines are causally linked to certain adverse events. In order to fulfill its mission, the IOM expert committee had to conduct a comprehensive and thorough examination of the scientific literature. The committee browsed thousands of scientific articles, the most relevant of which it rated according to quality. Then, it weighted the results and summarized them in a specialized model developed specifically for the purpose of this task.
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P IX (10):
Following in this tradition, the task of this committee was to assess dispassionately the scientific evidence about whether eight different vaccines cause adverse events (AE), a total of 158 vaccine-AE pairs, the largest study undertaken to date, and the first comprehensive review since 1994.
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P 18 (47):
The committee concluded the evidence convincingly supports 14 specific vaccine–adverse event relationships. In all but one of these relationships, the conclusion was based on strong mechanistic evidence with the epidemiologic evidence rated as either limited confidence or insufficient.
[…]
The committee concluded the evidence favors acceptance of four specific vaccine–adverse event relationships.
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P 23 (52):
The committee concluded the evidence favors rejection of five vaccine–adverse event relationships.
[…]
The vast majority of causality conclusions in the report are that the evidence was inadequate to accept or reject a causal relationship.
It took the committee two full years of demanding work to complete the report, during which it carried out a thorough investigation into the available evidence, including epidemiological (statistical), clinical (medical studies in humans), and biological (animal and in vitro) studies. The committee’s conclusion was that there were only a handful of adverse events of specific vaccines for which a causal link between the event and the vaccine had been established. Of the 158 adverse event and vaccine combinations examined by the committee,[l2] 8 a causal link was confirmed for only 14 of them and suggested for 4 others (“the evidence favors acceptance”).9 The committee rejected a causal link for only 5 adverse event and vaccine pairs. For the remaining 135 pairs, it concluded that the evidence was insufficient to either prove or refute a causal link.10
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P 19-21 (48-50)
Further examination of the cases where a causal link was established between the side effect and the vaccination that preceded it raises an interesting point: For the vast majority of them, the causal link between the adverse event and the vaccine is virtually self-evident. Almost half, 6 of the 14, were labeled “anaphylaxis”, an acute, immediate, and often life-threatening allergic reaction, which the committee associated with 6 different vaccines. Four other causally related pairs involved immunocompromised vaccine recipients suffering symptoms of the diseases they were vaccinated for. Those were attributed to the attenuated viruses contained in the vaccines. Two other events, shoulder inflammation following an injection and fainting shortly after vaccine administration, were linked to the act of injection itself rather than to any specific vaccine.11 Thus, the link between vaccination and outcome was virtually irrefutable for 12 of the 14 adverse events that the committee confirmed were causally linked to vaccination.
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P 630-632 (659-661)
Despite the indisputable nature of the links the IOM confirmed, the report’s authors took pains to soften any potential blow to vaccines’ image by making it clear that these causally linked adverse events were not a source of public concern. They were, the committee noted, typically either very rare, mild, or transient, or they were caused by the physical act of injection and were not, therefore, specific to vaccination.12
Date: Aug. 25, 2011 http://nationalacademies.org/hmd/reports/2011/adverse-effects-of-vaccines-evidence-and-causality.aspx
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Website: Time Magazine
http://healthland.time.com/2011/08/25/vaccine-safety-new-report-finds-few-adverse-events-linked-to-immunizations/
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Archive:
http://archive.is/kV5ko
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Article Name: Report Finds Few Side Effects For Vaccines
Date: Aug. 25, 2011
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Website: Forbes
http://www.forbes.com/sites/matthewherper/2011/08/25/report-finds-few-side-effects-for-vaccines/#2715e4857a0b41d59ef62b39
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Archive:
http://archive.is/X70SL
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Article Name: IOM review ties few adverse effects to vaccines
Date: Aug. 25, 2011
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Website: CIDRAP
http://www.cidrap.umn.edu/news-perspective/2011/08/iom-review-ties-few-adverse-effects-vaccines
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Archive:
http://archive.is/u3YmY
Date: May 12, 2008
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Website: CBS NEWS
https://www.cbsnews.com/news/leading-dr-vaccines-autism-worth-study/
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Archive:
http://archive.is/q82UH
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Bernadine Healy, a former top official in US Public Health bodies, told CBS News in 2008: Healy goes on to say public health officials have intentionally avoided researching whether subsets of children are “susceptible” to vaccine side effects - afraid the answer will scare the public. “You're saying that public health officials have turned their back on a viable area of research largely because they're afraid of what might be found?” Attkisson asked. Healy said: “There is a completely expressed concern that they don't want to pursue a hypothesis because that hypothesis could be damaging to the public health community at large by scaring people.”
The conclusions of the report, which were widely publicized by the media as further proof of vaccine safety and yet another refutation of the alleged link between vaccines and some publicly attributed illnesses and conditions,13 came as no surprise. The IOM, as indicated by its past publications, has always been committed to scientific consensus. As a longtime partner of the government and federal agencies, it couldn’t be reasonably expected to publish radical conclusions that could undermine the public’s trust in the vaccine program.14
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P 28 (57):
The overwhelming safety and effectiveness of vaccines in current use in preventing serious disease has allowed them to gain their preeminent role in the routine protection of health.
The committee made its stance clear by expressing its unequivocal support for the vaccine program in the report’s introductory chapter, stating: “The overwhelming safety and effectiveness of vaccines in current use in preventing serious disease has allowed them to gain their preeminent role in the routine protection of health.”15
Regardless of any potential bias that may have affected the committee’s work and conclusions, the published report makes a decisive contribution to the issue at hand. The report, possibly inadvertently, publicly exposed the current sorry state of scientific knowledge about vaccine safety. In this regard, the report’s significance lies not with the causal links it was able to establish or refute (23 out of 158), but rather with the numerous potential links it was unable to prove or disprove. In more than 85% of the adverse events the committee examined (135 out of 158), it found no adequate scientific studies that could corroborate or refute a causal link to the vaccine. Practically, this means that the medical world has no body of scientific knowledge to rely on when determining whether these 135 health conditions are caused by vaccines or not.[m2]
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P 49 (78):
It is important to note that mechanistic evidence can only support causation. Epidemiologic evidence, by contrast, can support (“favors acceptance of”) a causal association or can support the absence of (“favors rejection of”) a causal association in the general population and in various subgroups that can be identified and investigated, unless or until supportive mechanistic evidence is discovered or a rare, susceptible subgroup can be identified and investigated.
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P X (11):
Many of the case reports the committee reviewed simply cited a temporal relation between vaccine administration and an adverse event.
According to the committee’s findings, the dearth of studies examining vaccine side effects is evident in both the epidemiological (statistical) and biomedical (mechanistic) research categories. The lack of high-quality mechanistic studies, those that look at the underlying “mechanics” of vaccine injury, is particularly noteworthy because they, and they alone, are capable of proving a causal link, as the committee points out.16 For most of the adverse events considered, only a handful of mechanistic studies were found in the scientific literature, nearly all of them “case studies”, that is, descriptions of individual patients with various health issues that began following vaccination. Most of these case studies did not mention the performance of any specialized medical tests that might have shed light on the event’s specific circumstances. Consequently, these studies were largely deemed “low quality” by the committee as they did not provide supplemental medical information linking the vaccine to the adverse event beyond the fact that the condition first appeared shortly after vaccination.17
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P 440-442 (469-471)
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P 154-156 (183-185)
For example, a review of the medical literature on ADEM[n2] following the administration of the hepatitis B vaccine found eight such reports. Six of the eight studies were disqualified by the committee as they had merely reported the proximity in time between vaccination and disease commencement while not providing additional medical information. While the remaining two articles did provide supplemental medical findings in the vaccinees, which were consistent with ADEM’s clinical picture, the committee concluded that in the absence of a proven biological mechanism linking the disease to the vaccine, “the evidence is inadequate to accept or reject” a causal link.18 The committee similarly dismissed a causal link between the MMR vaccine and transverse myelitis.[o2] The five case studies in the medical literature did not provide any evidence to suggest the existence of a biological mechanism linking the vaccine and disease.19
So the majority of the scientific literature regarding disease mechanisms consisted of superficial case studies, and the committee determined that only a handful of papers met the criteria of basic scientific research – studies that looked for causal links between vaccines and medical conditions through in-depth investigation of biological mechanisms. It is no wonder, then, that the committee could not confirm or deny a causal link to vaccination for over 85% of the adverse events examined.
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Website: WEBMD
https://www.webmd.com/brain/acute-disseminated-encephalomyelitis-adem#1
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Archive:
http://archive.is/8u53v
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ADEM seems to be an autoimmune disease. That means your immune system attacks your body's own cells and tissues as if they were outside bacteria or viruses. Experts don't know exactly what triggers it, but it could be an overreaction to an infection. Most of the time, the attack happens when a child is getting over some common illness, like a cold or stomach bug. ADEM sometimes follows an immunization, particularly certain rabies shots and the vaccine for measles, mumps, and rubella. No direct connection has been made though. Other times, nothing out of the ordinary happens before symptoms appear.
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Website: Mayo Clinic
https://www.mayoclinic.org/diseases-conditions/optic-neuritis/symptoms-causes/syc-20354953
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Archive:
http://archive.is/A9RBl
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The exact cause of optic neuritis is unknown.
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Website: Mayo Clinic
https://www.mayoclinic.org/diseases-conditions/guillain-barre-syndrome/symptoms-causes/syc-20362793
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Archive:
http://archive.is/2IgLm
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The exact cause of Guillain-Barre syndrome isn't known.
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Website: Johns Hopkins Medicine
http://www.hopkinsmedicine.org/neurology_neurosurgery/centers_clinics/transverse_myelitis/about-tm/what-is-transverse-myelitis.html
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Archive:
http://archive.is/CiqdA
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The cause of 60% of TM cases may remain unknown despite the presence of inflammatory mechanisms. However, the remaining 40% is associated with autoimmune disorders such as multiple sclerosis, neuromyelitis optica, systemic lupus erythematous, Sjogren’s syndrome and sarcoidosis among others. The term idiopathic — meaning the cause is unknown- has been used in the past in situations in which the cause cannot be determined. However, the lack of demonstration of a causative disorder, mechanism or agent may be the result of failure of an early diagnosis or the result of causative factors that disappears quickly such as in cases of viral infections or post-infectious disorders.
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Website: Mayo Clinic
http://www.mayoclinic.org/diseases-conditions/lupus/basics/causes/con-20019676
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Archive:
http://archive.is/SY0oG
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Lupus occurs when your immune system attacks healthy tissue in your body (autoimmune disease). It's likely that lupus results from a combination of your genetics and your environment. It appears that people with an inherited predisposition for lupus may develop the disease when they come into contact with something in the environment that can trigger lupus. The cause of lupus in most cases, however, is unknown.
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Website: Mayo Clinic
http://www.mayoclinic.org/diseases-conditions/vasculitis/basics/causes/con-20026049
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Archive:
http://archive.fo/DMh6g
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The exact cause of vasculitis isn't fully understood. Some types are related to a person's genetic makeup. Others result from the immune system attacking blood vessel cells by mistake.
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Website: Mayo Clinic
https://www.mayoclinic.org/diseases-conditions/type-1-diabetes-in-children/symptoms-causes/syc-20355306
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Archive:
http://archive.fo/TqdgF
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The exact cause of type 1 diabetes is unknown. But in most people with type 1 diabetes, the body's immune system — which normally fights harmful bacteria and viruses — mistakenly destroys insulin-producing (islet) cells in the pancreas. Genetics and environmental factors appear to play a role in this process.
Scientific research into the mechanisms underlying side effects of vaccines should investigate, among other things, (1) the effects that vaccine ingredients (like aluminum adjuvants) have on the body; (2) the biochemical interactions between vaccine components; (3) the biochemical interactions among multiple vaccines administered at the same time; (4) genetic characteristics that may increase vulnerability to vaccine injury; and (5) permanent or transient health conditions that may increase susceptibility to injury. In addition, investigation of potentially susceptible subpopulations, such as infants and pregnant women, should be made a priority. The absence of basic research in this field is particularly alarming because current medical science cannot even identify the source of most of the serious diseases and syndromes reported post-vaccination, much less cure them. Such is the case for ADEM,20 optic neuritis,21 Guillain-Barré syndrome,22 transverse myelitis,23 lupus,24 vasculits,25 juvenile diabetes (type 1),26 autism, ADHD, and many other conditions.
The shortage of applicable scientific research on adverse events documented in its own report should have prompted the IOM committee to sound a long and loud alarm. The report’s finding that biomedical aspects of post-vaccination conditions are rarely investigated contrasts starkly with the constant assurances from medical authorities that vaccine safety is thoroughly investigated. Yet, instead of sounding the warranted alarm, the committee chose to give the “all-clear”. The report’s conclusions don’t convey any sense of urgency, nor does the report call for health authorities to take any immediate action. While the report does not state it explicitly, news articles following the report’s publication conveyed the committee chairperson’s implicit message that All is fine: Only a handful of adverse events have been proven to be linked to vaccines, and even those are mild and rare.
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P 13 (43)
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P XI (12):
Although the committee is optimistic that more can and will be known about vaccine safety in the future…
The IOM committee members knew that “the absence of evidence is not evidence of absence”27 but went ahead and acquitted vaccines anyway based on a lack-of-evidence argument. Oddly, the committee seems content with the current paucity of scientific evidence, while expressing the wholly unjustified expectation “that more can and will be known about vaccine safety in the future.”28
Until that day comes, however, we ought to consider the serious practical and theoretical consequences of the gaping holes in vaccine safety science that were exposed in the IOM report.
As hauntingly illustrated by the story of little Isaac at the beginning of this chapter, the lack of solid science on vaccines’ potential side effects has grave and often tragic consequences. With no scientific foundation to work from, there is no practical way to establish a causal link between vaccines and the myriad adverse health events that often follow. This, in turn, means that even the idea of a causal link is excluded from the conversation about vaccines, greatly reducing the likelihood that such a link would ever be suspected, investigated, or diagnosed.
The absence of the causal link from the safety conversation begins with the pre-licensing approval process. Regulatory bodies do not require manufacturers to perform biomedical research investigating possible associations between their experimental products and any side effects reported in the trials.[p2] Although considered the industry’s gold standard, a randomized controlled trial (RCT) is actually a sort of medical compromise. Since trial researchers cannot rely on existing medical science to assist them when deciding whether an adverse event is causally linked to the test vaccine, they must settle for a statistical comparison of rates between the trial and control groups. Unfortunately, in comparison with the (regrettably theoretical) alternative of performing medical tests on trial participants to identify adverse effects of the test vaccine, such a statistical analysis can yield only limited and superficial information.
Consider a vaccine clinical trial in which 10 cases of ADEM were reported in the trial group, while the placebo control group had 5 such cases. The comparison of these two numbers amounts to no more than a rough estimation that the vaccine doubles the risk of ADEM. That is just a fraction of the information we want. It cannot help answer medically essential questions such as (1) Does the vaccine cause ADEM? (2) Who is at high risk of developing ADEM following vaccination? (3) How could we reduce the risk of ADEM following vaccination? (4) How could we effectively treat post-vaccination ADEM patients? Only a thorough biomedical investigation of ADEM cases in the trial could generate information that could answer these questions.
https://drive.google.com/open?id=1NnEIia3vR_01iqYnq2wNDRWz_ZcvPo48
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P 4
Vaccine-related adverse reactions reported during clinical trials were assessed by the study investigators to be possibly, probably, or definitely vaccine-related and are summarized below.
https://drive.google.com/open?id=1lt2scepRp3pTpbB4HQ3cYtE5bU3twD6o
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P 15:
Of 55 SAEs reported during the active phase of the protocol and 12 reported during the 180 day extended safety follow-up, none were considered to be vaccine related.
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Article Name: Safety and Immunogenicity of Tetanus Diphtheria and Acellular Pertussis (Tdap) Immunization During Pregnancy in Mothers and Infants
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PMID: 24794369
Lead Author/Year: Flor M. Munoz, 2014
Journal: JAMA
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P 4:
Whether an adverse event was attributable to vaccination was judged by the investigators considering temporality, biologic plausibility, and identification of alternative etiologies for each event.
[…]
Serious adverse events were reported by 22 participants… None were judged to be attributable to Tdap vaccine.
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Article Name: Safety and Immunogenicity of the HPV-16/18 AS04-Adjuvanted Vaccine: A Randomized, Controlled Trial in Adolescent Girls
http://www.hu.ufsc.br/projeto_hpv/Safety%20and%20Immunogenicity%20of%20the%20HPV-1618%20AS04-Adjuvanted.pdf
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Archive:
https://drive.google.com/open?id=1UyuQfB7G1uALitDdnO-AZxJk7Tw1ojHX
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PMID: 20413076
Lead Author/Year: Doris M. Rivera Medina, 2010
Journal: Journal of Adolescent Health
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P 419 (6):
No SAE in the HPV-16/18 vaccine group was considered related to vaccination or led to withdrawal.
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Article Name: Safety of a new conjugate meningococcal C vaccine in infants
https://adc.bmj.com/content/archdischild/85/5/391.full.pdf
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Archive:
https://drive.google.com/open?id=1hXmUhIcV38Y_1fGaUHJCL89rz6oaVUe7
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PMID: 11668101
Lead Author/Year: R Lakshman, 2001
Journal: Archives of Disease in Childhood
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P 4, picture 2:
1755 (63%) subjects had adverse events that were considered not to have any causal relation with the vaccine.
The lack of solid science illuminating the mechanics of vaccination side effects has another important downside: It allows researchers conducting clinical trials to arbitrarily decide whether a particular adverse event observed in the trial is related to the vaccine or not.29 Thus, with the stroke of a pen, researchers can eliminate whole categories of adverse events potentially caused by the trial vaccine. There are many examples of clinical trials in which researchers have casually dismissed, usually without any explanation, potential links between the trial vaccine and serious side effects observed in trial subjects. Here’s one typical example: “Of 55 SAEs [serious adverse events] reported during the active phase of the protocol, and 12 reported during the 180 day extended safety follow-up, none were considered to be vaccine related.”30 No government or formal medical body challenges these offhand dismissals of possible associations between the test vaccine and subsequent adverse events.
https://drive.google.com/open?id=18Bb7jBpmRTQHDJ_JAYb7v1fpCK9-NboP
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P 10:
The following additional adverse events have been spontaneously reported during the postmarketing use of PEDIACEL® worldwide. Because these events are reported voluntarily from a population of uncertain size, it is not always possible to reliably estimate their frequency or establish a causal relationship to vaccine exposure.
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Document Name: HAVRIX, Package Insert
https://drive.google.com/open?id=1XGppC-tPGSWvEZNGK8kRY15nGz76lxSA
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P 6:
In addition to reports in clinical trials, worldwide voluntary reports of adverse events received 136 for HAVRIX since market introduction of this vaccine are listed below. This list includes serious 137 adverse events or events which have a suspected causal connection to components of HAVRIX 138 or other vaccines or drugs. Because these events are reported voluntarily from a population of 139 uncertain size, it is not always possible to reliably estimate their frequency or establish a causal 140 relationship to the vaccine.
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Document Name: ENGERIX Package Insert
https://drive.google.com/open?id=1aZ1MtPiO58lE6Pjg0Ee_PZZ10c4iLjUs
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P 87:
The following adverse events have been reported following widespread use of the vaccine. As with other hepatitis B vaccines, in many instances the causal relationship to the vaccine has not been established.
Discussion of potential causal links to adverse events continues to be absent from the conversation even after the vaccine is approved for use. The manufacturer’s package insert, for example, will hardly ever use language that suggests a causal link. Statements such as “the vaccine is known to cause (health condition) X”, or “X is likely caused by the vaccine” rarely appear in these leaflets. Instead, manufacturers prefer noncommittal language such as “condition X was reported following use of the vaccine” and emphasize that “a causal association could not be established” between the reported adverse event and the vaccine.31 Naturally, there is never any mention of the fact that no attempt was made to establish whether or not a causal link exists.
Once the vaccine is on the market and widely used, the absence of any documented causal link on the package insert allows healthcare professionals – doctors, nurses, and officials – to categorically dismiss any link between vaccines and most reported serious side effects.
https://waojournal.biomedcentral.com/articles/10.1186/s40413-016-0120-5
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Archive: http://archive.is/d1J1F
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PMID: 27679682
Lead Author/Year: Stephen C. Dreskin, 2016
Journal: World Allergy Organization Journal
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P 12:
All tests need to be interpreted carefully with appropriate positive and negative controls, recognizing that falsely positive skin test results may occur. These may be the result of true but clinically irrelevant IgE responses or to irritant effects of the vaccine.
As is evident from Isaac’s case, doctors do not have any diagnostic tools at their disposal that allow them to reliably associate a particular medical condition to the vaccine or vaccines that preceded it.[q2] With the exception of a handful of allergy tests for some vaccine components – even those aren’t particularly reliable and results should be interpreted cautiously32 – their toolbox is empty.
The IOM report reviewed above corroborates this indirectly: In the absence of biomedical studies investigating the link between vaccines and their side effects, the healthcare system cannot be expected to come up with appropriate diagnostic or therapeutic tools.[r2] These tools can only be built on top of solid scientific and medical models. In other words, without a scientific foundation explaining the mechanisms by which vaccines (adversely) affect the human body, one cannot develop appropriate medical tests or effective therapies for vaccine-injured individuals.
Date: Nov 11, 2014
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Website:
https://www.ynet.co.il/articles/0,7340,L-4590167,00.html
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Archive:
http://archive.is/AbUmZ
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In spite of all the intensive tests he has undergone, both hospitals have not been able to find out why the sudden and dramatic liver collapse. It is a rare condition. Once or twice a year, we have such a condition of a child with liver failure even though they are completely healthy. “In this condition, they undergo tests to detect infectious, autoimmune or metabolic diseases, and often the cause is not found,” explains Dr. Michael Gurevich, senior physician at the Schneider hospital transplant system, who was one of the surgeons. One of the causes of the collapse, which was tested and ruled out is the flu vaccine he received the day before. “The medical literature does not describe a case where the flu vaccine caused liver inflammation or liver failure,” Dr. Gurevich emphasizes. The mother also denies the possibility. “The source of the problem is unknown and will probably never be known. All the possibilities were checked, all the tests were done, and do not know. We were told that it is a very rare condition for a child fully healthy to undergo a liver collapse. The best infectious disease specialists have said that if the child turned yellow within a day, then he was probably already sick.”
Since their diagnostic toolbox is empty, doctors must settle for the accepted medical wisdom regarding vaccination, which is currently based almost entirely on large-scale statistical studies. These studies look for a statistical correlation between two phenomena in a population, receipt of the pertussis vaccine and seizures in infants under the age of 12 months, for example. The study can confirm or reject a correlation in the studied population, but its conclusions are not automatically applicable to individuals. That is, physicians cannot confirm or rule out anything in specific patients based on the results of a large-scale statistical study (more about this in chapter 4). Thus, when only a few vague “rules of thumb” are available for linking vaccines to subsequent health events, a physician’s judgment on whether or not the two are related amounts to mere speculation, or, at best, an informed guess.33
The large gaps in medical knowledge of vaccine side effects make the daily practice of medicine far more difficult, which can have dire consequences for patients like Isaac. For example, pediatricians cannot predict whether a particular infant will be adversely affected by one vaccine or another, nor the degree of the injury. They cannot make educated decisions about future vaccinations for infants who were previously injured by one or more vaccines. They cannot test an infant’s sensitivity to most vaccine ingredients. Nor can they recommend a particular brand of vaccine over another, a safer vaccination schedule, or specific combinations to avoid.
The empty toolbox also boosts conformity with the recommended vaccine schedule. Since the milieu in which medical professionals operate values high vaccination rates while emphasizing the rarity of serious adverse events, the average physician is unlikely to deviate from the formal schedule. With no practical medical tools available to anticipate or confirm vaccine injury, doctors are left to their own devices should they recognize or acknowledge one. Similarly, they are not very likely to report any injuries they witness to medical authorities (more about this in the next chapter).
Perhaps the most tragic consequence of the missing knowledge regarding mechanisms of injury from vaccination is that doctors have no effective therapies to offer those who “took one for the team” and were harmed, often permanently, by something they were told would protect them. Understanding the mechanism that underlies an injury is imperative when devising effective treatments to reverse or ameliorate it. It is not surprising, then, that effective medical treatments for many serious health conditions attributed to vaccines don’t exist.
And the last, but certainly not least, consequence of the lack of research that allows the medical establishment to pretend that all is well in the land of vaccines, is that it precludes any system-wide effort to improve vaccine safety. You have to have a good grasp of how something is causing harm in order to make it safer. In other words, the absence of basic vaccine safety science means that nothing will get better, and children like Isaac will continue to get hurt.
“Statistical studies are the only/best/correct way to confirm or rule out a causal link between a vaccine and a side effect.” – Not true. Statistical (epidemiological) studies can only corroborate, or fail to corroborate, a correlation (of any degree) between two phenomena. Correlation alone, as we know, does not imply causation. In addition, a statistical correlation tells us nothing about an individual’s susceptibility to injury. There is extended discussion of this topic in chapter 4.
“Statistical studies could prove causation.” – As mentioned above, statistical studies can only find a correlation and cannot prove a causal link. That is because such studies cannot explain how phenomenon A may cause phenomenon B, but only estimate the frequency with which B follows A. More on this topic is presented in chapter 4.
“It is impossible to deduce a causal link between a vaccine and an adverse event from a single case and even a series of reported cases.” – True, but any such case deserves thorough investigation into the medical circumstances and any plausible biological models that could illuminate a link between the vaccine and the adverse event. This is frequently done for medication side effects. As the IOM 2011 report attests, this has hardly been the norm in the field of vaccines.
“The side effects of vaccines are very rare. Therefore it is not a priority to investigate them biologically.” – First, this is an example of circular thinking.
Which came first, the chicken or the egg? Vaccine side effects are only considered “very rare” because they are not recognized or documented as such in the medical literature, or even in patients’ medical records. This lack of recognition is itself due to the lack of a solid scientific foundation linking adverse events to vaccines. So, vaccine injury is rarely reported because the basic research is missing. In fact, as long as this research is missing, the claim that vaccine side effects are “rare” is scientifically unfounded.
Second, in recent years, there have been many parental reports of post-vaccination adverse events, and the public is increasingly linking those to vaccines. This, in itself, is a very compelling reason for funding biomedical research on the subject, since the scarcity of meaningful research significantly impairs public confidence in vaccine safety.
Third, when a society expects all its members to be vaccinated for the “good of the herd,” it has a moral obligation to do everything in its power to prevent harm to those who are vaccinated and to provide the vaccine-injured (no matter how few there are) with the best medical therapy possible.
“Biomedical research in the field of vaccine side effects is constantly being done. However, these studies haven’t found any links so far.” – This claim contrasts starkly with the findings of the IOM 2011 report, which details only a small number of high-quality biomedical studies devoted to the investigation of potential side effects of vaccines. Consequently, the report could not rule out causal links between most of the vaccines and adverse events examined. The glaring lack of scientific research is also evident in medical science’s failure to prevent and treat many diseases and conditions reported after vaccination and in the “empty toolbox” of the physician concerned about vaccination risks.
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P 28(57):
The overwhelming safety and effectiveness of vaccines in current use in preventing serious disease has allowed them to gain their preeminent role in the routine protection of health.
“The 2011 IOM report claims vaccines are safe!” –The IOM 2011 report is not concerned with the question of whether vaccines are safe or not but rather with the possible links between specific vaccines and specific side effects reported following their administration. The opinion of the IOM authors, expressed in a single written sentence34 and in additional media interviews, is not factually supported by the report. What is important for this discussion’s purpose is the evidence the report provides, which clearly indicates that most serious side effects reported after vaccination have not been investigated with high-quality biomedical studies.
Although modern vaccines have been in widespread use for over 60 years, science and medicine have failed to lay the scientific foundation required to properly assess the associations between vaccines and their reported side effects.
The theoretical knowledge base on this issue is very limited and covers only a few of the myriad serious adverse events that have been reported post-vaccination, mainly those for which the connection to the preceding vaccine is obvious. Accordingly, there is also an acute lack of diagnostic and therapeutic tools available for use by medical professionals. As far as vaccines and their adverse events are concerned, the doctor’s toolbox is practically empty.
It’s no accident that there is so little scientific research on the side effects of vaccines, a state of affairs that has persisted for decades. Hundreds, possibly thousands, of studies in the field of vaccinology are being conducted every year, and many of them are publicly funded. It seems that health authorities in charge of budgeting these studies, however, are not too keen on committing resources to biomedical research on vaccine side effects, nor do they require manufacturers to perform such studies. They seem content with the fact that nearly all vaccine safety research being done, from pre-licensure and onwards, is purposely superficial and ineffectual. Instead of conducting studies that seek to gain a thorough understanding of the underlying biological mechanisms, vaccine safety research settles for mere statistical correlations that provide little theoretical or practical knowledge that can be used to develop tools for prevention, diagnosis, and treatment of vaccine injury.
Yes, scientific research that could provide a thorough understanding of vaccine side effects would require significant financial investment. However, since vaccines are given to healthy people and pressed upon the entire population, most of whom are infants and children, the safety bar should be set particularly high. Health authorities that urge everyone to be vaccinated have a moral obligation to do everything within their power to minimize the harm vaccines can do and to provide effective therapeutic measures for those who are injured. The persistent and severe lack of meaningful research has serious social and economic consequences. Because of the medical establishment’s inability to anticipate who will be hurt by vaccines, its inability to associate a specific side effect with the specific vaccine(s) that caused it, and its inability to make adjustments in vaccination parameters to account for individuals’ genetic makeup and specific health conditions, catastrophic vaccine injury cannot be prevented.
Investigating the underlying scientific foundation of vaccine side effects could potentially result in significantly safer vaccines, the development of effective treatment options for adverse events, and improved accuracy in cost-to-benefit analysis. This becomes ever more important as each new vaccine is added to the vaccine schedule.
The findings of the IOM 2011 committee report, which reveal a critical shortage in basic scientific research on vaccine side effects, clearly contradict health authorities’ claim that vaccine safety has been thoroughly researched. These authorities ignore the fact that vaccine safety research, for the most part, is based on a statistical methodology with limited practical benefit and does not even attempt to contribute biomedical information that could lead to the development of diagnostic and therapeutic tools. Medical science’s ongoing failure to provide practical answers is even more glaring in light of its inability to identify causes or provide cures for many of the serious conditions reported after vaccination that have become increasingly common in recent decades.
Ask your doctor:
- If our child experienced a health problem following vaccination, what medical tests are at your disposal to decide whether the condition was actually caused by the vaccine?
- We fear that our child could be adversely affected by a particular vaccine. What medical tests can you perform in order to determine whether or not she is at high risk of being injured by that vaccine?
Once a vaccine has successfully passed through the lengthy licensing process and received the coveted regulatory approval, it is typically integrated into national vaccination programs in the US and other countries. From that point on, it will be routinely administered to tens of millions of people every year, many times more than the thousands, or tens of thousands, of subjects who received it in pre-licensure clinical trials.
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PMID: 15071280
Lead Author/Year: Fredrick Varricchio, 2004
Journal: The Pediatric Infectious Disease Journal
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P 2:
Clinical trials of new vaccines have typically involved a relatively small number of individuals (usually fewer than 10 000) and thus cannot usually detect uncommon adverse events.
http://www.fda.gov/downloads/Safety/MedWatch/UCM168497.pdf
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Archive:
https://drive.google.com/open?id=1e1suDwD92AF9TfTW6yk89-PyMkgXqmFD
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Lead Author/Year: NIH/FDA, 1998
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P 1:
Even the largest pre-licensure trials (>10,000 persons) are inadequate to assess the vaccine’s potential to induce rare but serious side effects.
Experience of the past few decades demonstrates that when new vaccines or drugs are widely distributed, health events that were not identified in clinical trials often emerge.1 A clinical trial involving 5,000 subjects, for example, is not large enough to detect adverse events occurring at a rate of 1 in 5,001 vaccinees.[s2] The large number of individuals vaccinated in the general population brings a greater human diversity that can affect vaccination outcomes in unexpected ways. Personal characteristics such as genetic makeup, current health status, dietary habits, medication use, and socioeconomic status may vary much more than those of the relatively narrow slice of the population in a controlled clinical trial environment. Thus, new types of adverse events may emerge, triggered by a synergy of specific personal traits and health conditions that did not occur in the trials. For example, one child might prove to be allergic to a vaccine component, or a vaccine might cross-react with a medication taken by another. In addition, adverse events that were reported at low rates in clinical trials could prove to be more common in the general population or in specific subpopulations.2 Accordingly, all parties involved in vaccine development, licensing, and distribution agree that safety should be closely monitored after new vaccines are released to the market.[t2]
Health agencies carry out post-licensure vaccine safety monitoring through two main avenues. The first is by collecting reports of adverse events in a specialized database and periodically analyzing the collected data to identify patterns. The second is performance of statistical studies which explore any association between the vaccine and specific adverse health events. The use of these two tools, health authorities say, ensures comprehensive, reliable, and continuous monitoring of vaccine safety. Any anomaly is, supposedly, quickly detected, promptly investigated, and handled appropriately.
On first glance, authorities do indeed seem to be covering all the necessary bases to ensure that vaccine safety is maintained even after vaccines are put on the market. However, closer examination of the design and operation of vaccine adverse event reporting systems paints a radically different picture. This chapter, therefore, describes vaccine adverse event reporting systems and examines to what extent, if any, they achieve their stated objectives.[u2]
Vaccine adverse event reporting systems around the world have similar modes of operation and functionality. Therefore, we will focus on the world’s leading system: the US Vaccine Adverse Event Reporting System commonly referred to as VAERS.
The VAERS system, jointly managed by the CDC and FDA, was established under the National Childhood Vaccine Injury Act of 1986 and began operation in 1990.3 VAERS’s stated objectives are the following:
- Identification of new or uncommon adverse events of vaccines (i.e., those not found in clinical trials).
- Detection of unexpected upsurges in the incidence of known adverse events.
- Identification of risk factors for specific adverse events.
- Identification of “hot” vaccine batches.
- Evaluation of the safety profile of new vaccines.4
In its 30 years of operation, VAERS has accumulated over half a million reports. In the last decade, 20,000 to 30,000 new case records have been added yearly.
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Website: VAERS website
https://vaers.hhs.gov/faq.html
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Archive:
https://web.archive.org/web/20180825190718/https:/vaers.hhs.gov/faq.html
VAERS receives reports from three main sources: vaccine manufacturers, healthcare professionals, and the general public. Only the manufacturers are required by law to report vaccination adverse events.[v2] Reports filed in the system are usually crude case descriptions that do not include analysis or interpretation and rarely, if ever, seek to establish a causal association between the vaccine and the ensuing adverse event. CDC personnel are supposed to monitor VAERS and analyze its data to look for any “signal” which might indicate a safety issue. The system is accessible through a website that allows members of the public to file reports of vaccine adverse events and search the database for information.5
So, on the surface, VAERS appears to be well suited to perform its formal tasks and meet its stated objectives. Now let’s take a “look under the hood” at VAERS’s inner workings to see if it is truly delivering on its promises.
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PMID: 15071280
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P 2:
VAERS is a passive surveillance, or spontaneous reporting, system. Passive surveillance systems rely on health care professionals (or vaccinees) to voluntarily submit reports of illness after vaccination.
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Website: VAERS website
https://vaers.hhs.gov/data/dataguide.html
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Archive:
https://web.archive.org/web/20180209232915/https:/vaers.hhs.gov/data/dataguide.html
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“Underreporting” is one of the main limitations of passive surveillance systems, including VAERS
Similar to its counterparts in other countries, VAERS is a passive reporting system. This means that reports are not solicited by VAERS personnel; they are initiated by the reporting parties themselves. Vaccinated individuals, parents of vaccinated children, and medical professionals who vaccinate or treat post-vaccination health events can all file VAERS reports if they wish to. But no one from the VAERS team, or any other state or government health agency, will ever proactively contact them to collect information on post-vaccination events.6 Solicitation of such information is called “active reporting”, and such reporting is used to monitor the safety and efficacy of vaccines in clinical trials. As one might expect, passive reporting systems have universally lower reporting rates when compared with those of active reporting systems.7
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Website: VAERS website
https://vaers.hhs.gov/resources/infoproviders.html
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Archive:
https://web.archive.org/web/20171125064142/https:/vaers.hhs.gov/resources/infoproviders.html
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Abbreviated Name: Varricchio 2004
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PMID: 15071280
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P 4:
Only selected adverse events, as specified in the Reportable Events Table, are required by law to be reported by vaccine providers. The adverse events listed in the table have been shown to be potentially related to vaccination and therefore may be compensable through the Vaccine Injury Compensation Program (www.hrsa.gov/osp/vicp/) in the absence of an alternate cause.
Another important feature of VAERS is that reporting is generally voluntary, not mandatory. Only the vaccine manufacturers themselves are required to report all adverse events that come to their attention – and even they are not held to any reporting quality standards, as we shall see shortly. Healthcare professionals, on the other hand, are required to report only a handful of adverse reactions that are acknowledged by the federal “Vaccine Court”[w2] to be caused by vaccines. This means they are not required to report the majority of health events that occur in close proximity to vaccination, even if they are severe or disabling.8
https://healthit.ahrq.gov/sites/default/files/docs/publication/r18hs017045-lazarus-final-report-2011.pdf
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Archive:
https://drive.google.com/open?id=1Uih_BuqrRJoaj4o3otgqZiWiYgeBIH9H
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Lead Author/Year: Ross Lazarus, 2011
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P 6:
New surveillance methods for drug and vaccine adverse effects are needed. Barriers to reporting include a lack of clinician awareness, uncertainty about when and what to report, as well as the burdens of reporting: reporting is not part of clinicians’ usual workflow, takes time, and is duplicative.
Reporting vaccine adverse events is hardly likely to be beneficial to either a pediatrician’s business or peace of mind. Firstly, US pediatricians who routinely administer vaccines have no financial motivation to report potential vaccine adverse events. Detailed and accurate reporting can take a significant amount of work, and medical personnel are not compensated for that time.9 Furthermore, if doctors reported adverse events of vaccines they administered, that could be construed by others as an implicit admission, however informal, of responsibility for any resulting harm. Obviously, neither doctors in private practice nor those working in clinic or hospital settings would have any interest in paving the way for patients or their parents to sue for damages. In addition, doctors, like the rest of us humans, may not be too keen to admit, even to themselves, that medical procedures they recommended and performed might have caused serious harm to their patients.
The public is also not required to report vaccine adverse events. In fact, most parents are completely unaware that they can report their child’s post-vaccination adverse health event directly. Even among the parents who are aware, most lack the professional expertise required to provide a detailed and comprehensive record of their child’s injury.
http://www.fda.gov/downloads/Safety/MedWatch/UCM168497.pdf
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Archive:
https://drive.google.com/open?id=1e1suDwD92AF9TfTW6yk89-PyMkgXqmFD
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Lead Author/Year: NIH/FDA, 1998
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P 1-2:
Thus, when the product leaves the controlled study environment of clinical trials and is put into general clinical use by practitioners, the ability to determine the actual incidence of adverse events is questionable.
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Abbreviated Name: Varricchio 2004
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PMID: 15071280
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P 4:
Therefore because VAERS functions primarily as a voluntary reporting system, reporting occurs for only a proportion of suspected adverse events, and this proportion varies depending on the vaccine and the type of event.
http://www.fda.gov/downloads/Safety/MedWatch/UCM201419.pdf
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Archive:
https://drive.google.com/open?id=1_NEuU4vhWzPh7ZTBVa_aiIuTr3Eagcfy
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Lead Author/Year: David A. Kessler, 1993
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David Kessler, former head of FDA -
P 1:
Only about 1% of serious events are reported to the FDA, according to one study.
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Document Name: Electronic Support for Public Health–Vaccine Adverse Event Reporting System (ESP:VAERS)
https://healthit.ahrq.gov/sites/default/files/docs/publication/r18hs017045-lazarus-final-report-2011.pdf
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Archive:
https://drive.google.com/open?id=1Uih_BuqrRJoaj4o3otgqZiWiYgeBIH9H
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Lead Author/Year: Ross Lazarus, 2011
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P 6:
Adverse events from drugs and vaccines are common, but underreported. Although 25% of ambulatory patients experience an adverse drug event, less than 0.3% of all adverse drug events and 1-13% of serious events are reported to the Food and Drug Administration (FDA). Likewise, fewer than 1% of vaccine adverse events are reported.
Since medical professionals are not obliged to report post-vaccination events, only a tiny fraction of adverse events is actually reported to VAERS. The exact rate of underreporting is unknown, as stated in an official document outlining the VAERS system: “Thus, when the product leaves the controlled study environment of clinical trials and is put into general clinical use by practitioners, the ability to determine the actual incidence of adverse events is questionable.”10 Different estimations put this number anywhere between 1 and 10 percent, which means that only one-tenth, or even one-hundredth, of actual vaccine reactions is ever reported to VAERS.11 In fact, these estimates, too, are merely educated guesses, as a reliable scientific method for calculating the underreporting rate has yet to be devised.
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PMID: 15071280
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P 4:
Some studies have attempted to calculate incidence rates of adverse events with VAERS data along with the Biologics Surveillance Summaries that provide information on vaccine doses distributed in the United States. The most important limitation of the Biologics Surveillance Summaries is that they do not permit determination of the number of persons who actually received vaccine.
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PMID: 15071280
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P 4:
Because the VAERS database does not receive complete reporting of all adverse events and because many events it contains lack confirmed diagnoses and/or cannot be attributed to vaccines, VAERS cannot be used to calculate the incidence of adverse reactions after vaccination.
To estimate the rate of reported adverse events for any vaccine, one must count the number of adverse events reported – the numerator – and divide it by the number of vaccine doses administered (or the number of people vaccinated) – the denominator.[x2] Thus, one can determine that for every X vaccine doses administered (or Y people vaccinated) there will be one report of a specific adverse event for a specific vaccine. Since the number of adverse events reported is much lower than the number that actually occur (the numerator), and since the denominator is the number of doses distributed rather than the number actually administered,12 any rate calculated from VAERS data will inevitably be significantly lower than the true rate, probably by at least one order of a magnitude. As should be apparent, if a calculated rate is only a tenth or a hundredth of the actual rate, that rate cannot be considered a reliable indicator of a vaccine’s safety.13 For example, assuming a particular health event was reported to VAERS following a particular vaccine 100 times in one year, and assuming the vaccine was given to the entire birth cohort of 4 million infants that year, then the calculated rate would be about 1 in 40,000 infants per year. This may seem a relatively low rate for a health phenomenon that is not considered “severe”. However, if we account for VAERS under-reporting, then the actual rate could be anywhere from 10 times higher (1 in 4,000 infants) up to 100 times higher (1 in 400), and those are not insignificant numbers.
http://www.fda.gov/downloads/Safety/MedWatch/UCM168497.pdf
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Archive:
https://drive.google.com/open?id=1e1suDwD92AF9TfTW6yk89-PyMkgXqmFD
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Lead Author/Year: NIH/FDA, 1998
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P 3:
Since VAERS receives an estimated 12,000 reports annually, it is difficult to ensure the accuracy and completeness of the database with available resources.
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Abbreviated Name: Varricchio 2004
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PMID: 15071280
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P 2:
It is important to understand that submissions to VAERS are not formal case reports, but rather nonstandardized descriptions of symptoms and signs temporally associated with a vaccination or vaccinations. The information in a report is not necessarily complete, nor is it verified in most cases.
Another noteworthy weakness of VAERS is the fact that most reports are not verified by system operators after they are filed.14 Many turn out to be inaccurate, implausible, or lacking critical details, which makes them scientifically unusable. Thus, these records are typically omitted from statistical analyses performed on VAERS data, artificially lowering calculated adverse event rates (which, as we have seen, are already biased downward due to severe underreporting) even further. Reports submitted by manufacturers are particularly likely to be incomplete or inaccurate. For obvious reasons, manufacturers have no motivation to document vaccine adverse events properly.
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Website: VAERS website
https://vaers.hhs.gov/about/faqs#who_reports
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Archive:
https://web.archive.org/web/20180825190718/https:/vaers.hhs.gov/faq.html
Because they are legally required to pass on any reports they receive, their lack of motivation often manifests in poor reporting quality: missing or incorrect information, vague and inaccurate wording, and the like. Thus, a big question mark hovers over the credibility of at least the 37% of VAERS reports which originate from vaccine manufacturers.15
How, then, do US health authorities utilize VAERS to monitor vaccine safety? Although information collected in the system is meant to enable thorough investigation of alleged vaccine injuries – researchers could potentially contact the sufferers and their families, consult their doctors, ask for further tests to be performed, and so on – this is virtually never done. In practice, VAERS information is only used to produce infrequent statistical analyses that look for patterns that may represent safety signals.
Recall that VAERS’s formal objectives include identification of upsurges in vaccine adverse event rates, risk factors for adverse events, and susceptible subpopulations. Statistical analysis is the appropriate tool for achieving these objectives, but as we’ve seen statistical comparisons using rates calculated from VAERS reports are invalid. The high and virtually unknown rate of underreporting in VAERS renders quantitative comparison of its data to that of other systems scientifically meaningless. Thus, even if the background rate of a specific phenomenon, such as seizures in infants, were known, it wouldn’t make sense to compare that rate to the rate reported to VAERS, since that figure could be only a tenth, a hundredth, or even a thousandth of the number of actual cases. For example, if 1 in every 1,000 infants experienced seizures every year and the rate calculated from VAERS for the same age group was also 1 in every 1,000 recipients of all vaccines,[y2] one could not argue that vaccines do not appear to increase the risk of seizures, as the real rate of seizures following vaccination could be 10 or 100 times the VAERS rate. Similarly, VAERS data cannot be used to reliably identify susceptible subpopulations, that is, groups who are more susceptible to vaccine injury, such as preterm babies. In this case, too, the absence of reliable and accurate data means that no valid insights can be gained by comparing VAERS data with that of other systems.
Consequently, the flaws inherent to VAERS design and operation, which are typical of many, if not all, of the world’s vaccine adverse event reporting systems, render it almost scientifically useless for vaccine safety monitoring. To illustrate this point further, the next section spotlights a VAERS study of the safety of Gardasil, a human papillomavirus (HPV) vaccine, which was published by CDC researchers.
https://jamanetwork.com/journals/jama/fullarticle/184421
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Archive:
https://drive.google.com/open?id=1MQIcFiM-5POt66gfIdLaASCdgY9EZcDF
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PMID: 19690307
Lead Author/Year: Barbara A. Slade, 2009
Journal: JAMA
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P 1
On June 8, 2006, following an abridged licensing process, the FDA approved Merck’s human papillomavirus vaccine, Gardasil, for commercial use in the United States. A few weeks later, the CDC’s Advisory Committee on Immunization Practices (ACIP) met and recommended that the vaccine be given to all girls 11 to 12 years old and that “catch-up programs” be implemented for girls and women aged 13 to 26 years.16 Shortly thereafter, disturbing reports of serious illnesses following HPV vaccination began to emerge. Testimonials of girls and young women experiencing neurological damage, autoimmune diseases, chronic pain, paralysis, and even death began to accumulate in VAERS and to pop up in media news stories and internet websites.
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Archive:
https://drive.google.com/open?id=1MQIcFiM-5POt66gfIdLaASCdgY9EZcDF
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P 1
In 2009, in response to widespread publicity detailing serious adverse events attributed to the vaccine, the FDA and CDC initiated a study to examine Gardasil’s safety profile based on VAERS case reports. The lead researcher was Dr. Barbara Slade from the CDC Vaccine Safety Office; her research colleagues also came from CDC and FDA ranks.17
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Archive:
https://drive.google.com/open?id=1MQIcFiM-5POt66gfIdLaASCdgY9EZcDF
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P 3:
Of the 8471 manufacturer reports for qHPV AEFIs, 7561 (89%) had insufficient identifying information to permit clinical follow-up or review.
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Article Name: Completeness of serious adverse drug event reports received by the US Food and Drug Administration in 2014
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PMID: 26861066
Lead Author/Year: Thomas J. Moore, 2016
Journal: Pharmacoepidemiology and drug safety
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A similar condition exists for reporting of pharmaceutical drugs adverse events.
P 1:
Overall, 21,595 (86.2%) of serious reports submitted directly to the FDA provided data for all four completeness variables, compared with 271,022 (40.4%) of manufacturer expedited reports and 24,988 (51.3%) of periodic reports. Among manufacturer serious reports, 37.9% lacked age and 46.9% had no event date. Performance by 25 manufacturers submitting 5000 or more reports varied from 24.4% complete on all variables to 67% complete. Patient death cases had the lowest completeness scores in all categories.
The study, published in August 2009, analyzed all VAERS reports filed since Gardasil’s mid-2006 approval through the end of 2008, a period of two and a half years. The researchers found that over two-thirds (68%) of reports were submitted by representatives of Merck, the vaccine’s manufacturer. As we already know, manufacturers are required to report any adverse events that come to their attention but have little motivation to do so. As would be expected, Merck’s Gardasil reports were largely incomplete or inaccurate. With regard to Gardasil, Slade and her colleagues discovered that about 90% of Merck’s reports lacked information essential for conducting medical assessments. Since more than two-thirds of the reports were filed by Merck, we can see that a majority, over 60 percent, of Gardasil reports recorded in the study period were critically flawed.18
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Archive:
https://drive.google.com/open?id=1MQIcFiM-5POt66gfIdLaASCdgY9EZcDF
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P 7:
However, VAERS data need to be interpreted with caution […] data limitations include underreporting…
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Archive:
https://drive.google.com/open?id=1MQIcFiM-5POt66gfIdLaASCdgY9EZcDF
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P 7:
…the extent of underreporting to VAERS is not known.
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Archive:
https://drive.google.com/open?id=1MQIcFiM-5POt66gfIdLaASCdgY9EZcDF
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P 7:
AEFI reporting rates also need cautious interpretation, because vaccine distribution data do not allow calculation of age-specific reporting rates and do not provide the numbers of doses actually administered
In addition to the low quality of the majority of reports, the study authors also note the unreliability of VAERS rates. As a passive reporting system, they write, VAERS suffers from “underreporting”,19 and, worse, the rate of this underreporting is “unknown”,20 On top of this, they add, “vaccine distribution data do not […] provide the numbers of doses actually administered”,21 which means that not only is the numerator used in rate calculations inaccurate and uncertain, the denominator is as well.
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Archive:
https://drive.google.com/open?id=1MQIcFiM-5POt66gfIdLaASCdgY9EZcDF
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P 3:
From June 1, 2006, through December 31, 2008, VAERS received 12,424 reports of AEFIs following receipt of qHPV (Table 1), an overall reporting rate of 53.9 reports per 100,000 vaccine doses distributed.
Although Slade and her colleagues acknowledge that they cannot even estimate relevant rates, let alone accurately calculate them, they do specify a rate of 53.9 VAERS reports per 100,000 vaccine doses distributed in the United States.22 We know that this number is scientifically meaningless as the true rate of injury may be 10 or 100 times higher (or any other figure, for that matter), and the actual number of doses administered is unknown.
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Archive:
https://drive.google.com/open?id=1MQIcFiM-5POt66gfIdLaASCdgY9EZcDF
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P 7:
The postlicensure safety profile presented here is broadly consistent with safety data from prelicensure trials.
https://drive.google.com/open?id=1u3cOmn6ehXdR21bNuUQ7He3q6e2jFFxx
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P 8, Table 9
The authors go on to assert that Gardasil’s “post-licensure safety profile” as calculated from VAERS data is “broadly consistent” with safety data collected in its clinical trials.23 This claim, for which no supporting evidence is provided, is inconsistent with the fact that the researchers relied on flawed and underreported data which could not validly be compared with Gardasil clinical trial data. The data presented in the article, in contrast to the authors’ illogical conclusion, actually highlight the large apparent difference between the rate of adverse events recorded in clinical trials and in VAERS. For example, the researchers found only 51 VAERS reports of autoimmune diseases following vaccination with Gardasil. Since several million women and girls were vaccinated during the study period, this number roughly translates to a rate of about 1 in 100,000 recipients of the vaccine,[z2] while Gardasil’s primary clinical trial documented new autoimmune diseases in 1 in 43 young women in the trial group (250 cases out of ~11,000 participants).24 This huge difference underscores the senselessness of comparing VAERS and clinical trial rates.
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Archive:
https://drive.google.com/open?id=1MQIcFiM-5POt66gfIdLaASCdgY9EZcDF
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P 2:
We also used proportional reporting ratio (PRR), another method to detect potential associations between reported AEFIs and a drug or vaccine, to compare the proportion of selected AEFI reports for qHPV with the proportion of selected AEFI reports for all other vaccines by age group and sex.
P 6:
The PRR for deaths in 6- to 17-year olds was 1.4 (_2=0.42, P=.52). The PRR for deaths in 8- to 29-year-olds was 1.2 (_2=0.01, P=.92). Neither of these met the screening criteria for signal detection.
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PMID: 15071280
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P 4-5:
Attempts to use the VAERS data to calculate internal “relative risks” of specific adverse events for a vaccine, using reports for another vaccine as a “control” group, raise a fifth methodologic issue. Relative risks represent a ratio of incidence rates, and incidence rates cannot be calculated from VAERS data as previously discussed. Relative reporting rates might be calculated, but elevated relative reporting rates calculated from VAERS data may be spurious, regardless of the results of statistical significance testing.
And:
Relative reporting rates from VAERS should not be confused with data-mining methods that attempt to identify adverse events reported more commonly after one vaccine (or group of vaccines) than after others. Three data-mining methods being applied increasingly to medical product safety data are the proportional reporting rate ratio (PRR), empiric Bayesian and neural network approaches.
[…]
PRR and other data-mining statistics can be biased by differences in usage and reporting of adverse events; thus elevated data-mining statistics do not necessarily reflect a causal relationship between a vaccine and an adverse event. PRR and other data-mining statistics should not be interpreted or presented as relative risks of specific vaccine adverse events. Such statistics should be used only as a hypothesis generation tool and are evaluated in the same manner as other hypotheses generated by VAERS.
The researchers also compared the proportion of VAERS reports for selected adverse events (e.g., death) between Gardasil and other vaccines.25 This comparison is even more senseless than the comparison with clinical trial results since both numbers in this comparison come from VAERS, and as such are subject to unknown, and probably different, rates of underreporting.26 The study authors do not provide any evidence to support their assumption that VAERS reporting rates are similar, or similarly distributed, among different vaccines.[a3]
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Archive:
https://drive.google.com/open?id=1MQIcFiM-5POt66gfIdLaASCdgY9EZcDF
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P 1:
Most of the AEFI rates were not greater than the background rates compared with other vaccines, but there was disproportional reporting of syncope and venous thromboembolic events. The significance of these findings must be tempered with the limitations (possible underreporting) of a passive reporting system.
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Archive:
https://drive.google.com/open?id=1MQIcFiM-5POt66gfIdLaASCdgY9EZcDF
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P 7:
The VAERS reporting rate for qHPV is triple the rate for all other vaccines combined[…]
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Archive:
https://drive.google.com/open?id=1MQIcFiM-5POt66gfIdLaASCdgY9EZcDF
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P 7:
The VAERS reporting rate for qHPV is triple the rate for all other vaccines combined, perhaps reflecting greater public attention to HPV than the usual increased reporting following licensure of a new product (“Weber effect”).
[…]
Reports of VTEs after qHPV immunization should be interpreted with caution due to the multiple limitations of a passive reporting system and the potential effect of widespread media coverage stimulating reporting.
Although the authors admit that VAERS does not provide reliable data to realistically assess safety, they willfully leap all methodological obstacles and conclude that Gardasil’s safety profile was generally similar to that of other vaccines.27 This is certainly a noteworthy achievement, especially when one considers that they stated at the outset that “the VAERS reporting rate for [Gardasil] is triple the rate for all other vaccines combined.”28 Did VAERS data and the research techniques at the authors’ disposal enable them to come up with a reasonable explanation for the abnormally high rate of reported adverse events for Gardasil? The answer seems to be no. The paper does not contain an evidence-based explanation, merely the speculation that the high reporting rate might simply “reflect greater public attention to HPV” that was purportedly “stimulated” by “widespread media coverage”.29
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Archive:
https://drive.google.com/open?id=1MQIcFiM-5POt66gfIdLaASCdgY9EZcDF
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P 7:
However, VAERS data need to be interpreted with caution, because not all reported events are systematically validated, and many may have only coincidentally followed vaccination. In addition, data limitations include underreporting, inconsistency in the quality and completeness of reported data, stimulated reporting due to extensive news coverage, and reporting biases.
[…]
A further limitation of VAERS reports after qHPV is that a large proportion (68%) come from the manufacturer and most of these reports (89%) do not include sufficient identifying information to allow medical review of the individual cases.
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Archive:
https://drive.google.com/open?id=1MQIcFiM-5POt66gfIdLaASCdgY9EZcDF
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P 1:
Most of the AEFI rates were not greater than the background rates compared with other vaccines
Date: Aug 19, 2009
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Website: NPR (National Public Radio)
https://www.npr.org/templates/story/story.php?storyId=112035659?storyId=112035659
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Archive:
http://archive.is/tIPgl
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It still appears that the vaccine is safe and that the benefits outweigh the risks.
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Article Name: HPV shot found safe, but some experts question its benefits
Date: Aug 18, 2009
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Website: CNN
http://edition.cnn.com/2009/HEALTH/08/18/hpv.vaccine.safety/index.html?iref=24hours
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Archive:
http://archive.fo/lOJ2M
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“This continues to be a safe vaccine,” says lead researcher Dr. Barbara A. Slade, a medical officer at the CDC.
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Website: CDC website
https://vaers.hhs.gov/resources/infoproviders.html
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Archive:
http://archive.fo/lL2bv
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Document Name: GACVS Safety update on HPV Vaccines
http://www.who.int/vaccine_safety/committee/topics/hpv/130619HPV_VaccineGACVSstatement.pdf
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Archive:
https://drive.google.com/open?id=1tWVoxULCHrmFbKCxNOLLFt6tc95OhmoE
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Author/Year: GACVS, 2013
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P 3
Despite Slade and company’s acknowledgment of the inherent limitations of VAERS – “underreporting, inconsistency in the quality and completeness of reported data, stimulated reporting due to extensive news coverage, and reporting biases” – and despite their own warning that “VAERS data need to be interpreted with caution,”30 the authors illogically conclude that Gardasil is at least as safe as other vaccines.31 This ringing endorsement was amplified when news stories about the Slade 2009 study started appearing in mainstream media shortly after it was published. In these news stories, the caveats and question marks brought out in the paper, the methodological limitations, and the call for caution in interpreting VAERS data all vanished as if they had never existed. All that remained was the decisive The vaccine is safe! message promulgated by the lead researcher, Dr. Slade.32 Later, prominent health organizations, including the CDC and WHO, repeated this nothing to see here, all is well message while citing the Slade study as conclusive evidence of Gardasil’s safety.33
Slade 2009 is a classic example of the way US and international health authorities, assisted by the media, use flawed and incomplete VAERS data to construct a soothing façade of vaccine safety. CDC researchers, well aware that VAERS data cannot provide a valid assessment of vaccine safety, nonetheless concoct a supportive study that media outlets and health authorities then disingenuously cite to lull the public into a false sense of “evidence-based” vaccine safety.
As you may recall, the three pillars of vaccine safety are pre-licensure clinical trials, adverse event reporting systems, and post-marketing epidemiological studies. Now that we have familiarized ourselves with the way VAERS operates as well as its limitations and deficiencies, it is time to look at how reporting systems fit in the overall scheme and to evaluate their true contribution to vaccine safety.
https://healthit.ahrq.gov/sites/default/files/docs/publication/r18hs017045-lazarus-final-report-2011.pdf
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Archive:
https://drive.google.com/open?id=1Uih_BuqrRJoaj4o3otgqZiWiYgeBIH9H
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Lead Author/Year: Ross Lazarus, 2011
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P 6:
Adverse events from drugs and vaccines are common, but underreported. Although 25% of ambulatory patients experience an adverse drug event, less than 0.3% of all adverse drug events and 1-13% of serious events are reported to the Food and Drug Administration (FDA). Likewise, fewer than 1% of vaccine adverse events are reported. Low reporting rates preclude or slow the identification of “problem” drugs and vaccines that endanger public health.
Vaccine adverse event reporting systems are designed on the (false) premise that a vaccine’s basic safety is established during pre-licensure clinical trials. According to this line of thinking, there is no need to spend extra funds to build a robust reporting system that captures comprehensive data regarding vaccine adverse events. Instead, a more limited system that gathers only a fraction of actual reports and generates alerts for exceptional scenarios is sufficient. Thus, passive systems, like VAERS, that do not mandate reporting from healthcare professionals are designed with built-in flaws. Such systems always suffer from underreporting and, as a result, cannot provide reliable information on the true magnitude of vaccine adverse events.34
As we saw in chapter 1, vaccine clinical trials are deliberately designed to conceal the real and high rate of adverse events. Recall that the rate of adverse events recorded in the vaccine group in a clinical trial is “balanced out” by the rate of events in the control group, which also received a vaccine or similarly active compound. Thus, if the rate of serious adverse events in the trial group is a whopping 1 in every 15 subjects, and a similar rate is recorded in the control group, the vaccine is declared “safe”.[b3] By contrast, if a reporting system such as VAERS collected all adverse health events following vaccination with a particular vaccine and serious adverse events were reported for 1 in 15 or 1 in 20 infants who received it, it would be much more difficult to convince the public that the vaccine was indeed safe. Unlike a clinical trial, VAERS does not have a control group and thus cannot “balance out” high rates of adverse events. However, such high rates can be “watered down” by using a voluntary reporting system, which all but guarantees that a mere fraction of events will be reported. Such a system would not pose a threat to the official vaccine safety message, as it could not expose the true magnitude of adverse events. Whether by design or by accident, the reality is that studies using data from adverse event reporting systems are inherently too weak to contradict vaccine safety dogma or undermine its stability.
Another important point worth considering: High underreporting rates make it extremely difficult to use passive reporting systems to identify rare or unusual adverse events. This is due to the lack of a common numerical basis that would permit meaningful comparisons to population background rates or rates observed in clinical trials. Also, since there is no guarantee that reports are submitted randomly and there is no control group, it is also not particularly useful to compare reporting rates for different vaccines.
While VAERS, with its grossly underreported, incomplete, non-randomized, and uncontrolled data, cannot contribute meaningfully to vaccine safety, it is ideal for those who might wish to obscure any links between vaccines and adverse events. On the one hand, it is conveniently ill-suited to provide meaningful estimates of the actual adverse-event rates[c3] or prove causal links between vaccines and subsequent adverse events. On the other hand, the information stored in the system is good enough for health authorities to produce ostensibly respectable scientific studies which reinforce the apparent safety of the vaccine program and relieve public concern.
The methodological flaws inherent in vaccine adverse event reporting systems, as presented above, are well recognized by relevant members of the scientific community. The Slade 2009 authors, for example, explicitly refer to VAERS’s limitations several times and emphasize the difficulty of evaluating vaccine safety based on its data. However, despite the authors’ numerous reservations as to the validity of their findings, a reputable medical journal published the article, and its conclusion that “the vaccine is safe” received favorable media coverage and has been widely cited in scientific literature since.[d3]
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Website: CDC website
https://wwwn.cdc.gov/nndss/history.html
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Archive:
http://archive.is/w2tuo
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In 1879, a Congressional appropriation funded collecting and publishing reports of these notifiable diseases. The authority for weekly reporting and publishing of these cases was expanded by Congress in 1893 to include data from states and municipal authorities.
Document Name: Investigating a Pertussis Outbreak in Mississippi
http://www.cdc.gov/washington/~cdcatWork/pdf/pertussis_outbreak.pdf
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Archive:
https://drive.google.com/open?id=1l14t_rRuADPsjiQRNIE-ZyOX7pkSP-QZ
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Author/Year: CDC, 2007
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Page Name: Notes from the Field: Measles Outbreak Among Members of a Religious Community — Brooklyn, New York, March–June 2013
http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6236a5.htm
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Website: CDC, Morbidity and Mortality Weekly Report (MMWR)
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Archive:
http://archive.is/nCKU3
Keep in mind that the underreporting typical of vaccine adverse event reporting systems is an artificial limitation due entirely to the fact that reports are neither solicited nor required from medical personnel. In contrast, health agencies around the world implemented similar systems decades ago for reporting and monitoring infectious diseases. In the US, reporting began as early as the late 19th century.35 Since healthcare professionals are required to report cases of “notifiable” infectious diseases, the reporting rate is extremely high. In addition, when the CDC receives a report of an infectious disease outbreak in a particular area, they immediately send a special team to investigate,36 an action that is almost never carried out for suspected vaccine-related events. Therefore, the inherent deficiencies in vaccine adverse event reporting systems that necessitate a “cautious interpretation of their data”, as noted by Slade and colleagues, are a direct consequence of health authorities’ deliberate choice not to require medical personnel to report vaccine adverse events and to refrain from taking active measures to improve the rate and quality of reports.
This suggests that VAERS and similar systems were intentionally designed to serve as “window dressing”, that is, to provide a mere semblance of vaccine safety monitoring rather than the real thing. In practice, these reporting systems constitute another link in a chain, which began in clinical trials, aimed at preventing the truth about the alarming rate of vaccine adverse events from gaining public attention.
https://healthit.ahrq.gov/sites/default/files/docs/publication/r18hs017045-lazarus-final-report-2011.pdf
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Archive:
https://drive.google.com/open?id=1Uih_BuqrRJoaj4o3otgqZiWiYgeBIH9H
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Lead Author/Year: Ross Lazarus, 2011
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P 1
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Archive:
https://drive.google.com/open?id=1Uih_BuqrRJoaj4o3otgqZiWiYgeBIH9H
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P 2:
To create a generalizable system to facilitate detection and clinician reporting of vaccine adverse events, in order to improve the safety of national vaccination programs.
P 3:
Page 3: This research project was funded to improve the quality of vaccination programs by improving the quality of physician adverse vaccine event detection and reporting to the national Vaccine Adverse Event Reporting System (VAERS)
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Archive:
https://drive.google.com/open?id=1Uih_BuqrRJoaj4o3otgqZiWiYgeBIH9H
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P 6:
New surveillance methods for drug and vaccine adverse effects are needed. […] Proactive, spontaneous, automated adverse event reporting imbedded within EHRs and other information systems has the potential to speed the identification of problems with new drugs and more careful quantification of the risks of older drugs.
The CDC’s unwillingness to improve its vaccine adverse event reporting process was inadvertently exposed by a researcher named Ross Lazarus in 2010. Lazarus and his team were awarded a research grant by the US Agency for Healthcare Research and Quality (AHRQ).37 The purpose of their research was “to create a generalizable system to facilitate detection and clinician reporting of vaccine adverse events, in order to improve the safety of national vaccination programs.”38 Such a system, they write, “has the potential to speed the identification of problems with new drugs [i.e., vaccines] and more careful quantification of the risks of older drugs.”39
https://digital.ahrq.gov/ahrq-funded-projects/electronic-support-public-health-vaccine-adverse-event-reporting-system?nav=summaries
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Website: AHRQ Agency for Healthcare Research and Quality
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Archive:
http://archive.is/wip/BhpIK
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This project served as an extension of the Electronic Support for Public Health (ESP) project, an automated system using electronic medical record (EMR) data to detect and securely report cases of statutory notifiable diseases to a local public health authority.
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Archive:
https://drive.google.com/open?id=1Uih_BuqrRJoaj4o3otgqZiWiYgeBIH9H
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P 3-4
The software designed by Lazarus and his team was intended to extend the capabilities of an existing software package already used by several US healthcare providers for reporting cases of notifiable diseases to public health authorities.40 Lazarus and his team developed algorithms to identify potential vaccine adverse events, both “expected and unexpected”, and to facilitate accurate reporting. The software automatically tracked every vaccinee for a period of 30 days following vaccination and detected and analyzed relevant medical events – hospitalization, laboratory tests, and new drug prescriptions – that could indicate a vaccine reaction had occurred. When such a pattern was identified, the system automatically sent an electronic message to the patient’s physician, attaching case details and information about the patient’s medical history. The doctor would then decide whether to report the case as a vaccine adverse event, and, if so, the report was sent directly to VAERS in an electronically secure message.41
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Archive:
https://drive.google.com/open?id=1Uih_BuqrRJoaj4o3otgqZiWiYgeBIH9H
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P 3:
Aim 3. Comprehensively evaluate ESP:VAERS performance in a randomized trial, and in comparison to existing VAERS and Vaccine Safety Datalink data.
P 5:
The draft was then widely circulated as an initial / working draft for comment by relevant staff in the CDC and among our clinical colleagues at Atrius. In addition to review by the internal CDC Brighton Collaboration liaison, this protocol has also received review & comment via the CDC’s Clinical Immunization Safety Assessment (CISA) Network.
In order to test the new system, Lazarus and colleagues planned to collaborate with the CDC on a joint randomized trial comparing the quantity and quality of reports produced by their software with corresponding reports in VAERS. The trial design, as well as the full research proposal, was distributed among relevant CDC units, which promptly sent their comments back to Lazarus’s team.42
One might expect that the CDC, the governmental body charged with monitoring vaccine safety, would have seized upon this golden opportunity to upgrade their obviously deficient vaccine adverse event reporting by fully collaborating with Lazarus and his team. The team’s system was specifically designed to alleviate VAERS’s main deficiencies: severe underreporting by healthcare professionals and poor information quality. Thus, it had the potential to dramatically improve vaccine adverse event reporting, which in turn should lead to better vaccine safety.
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Archive:
https://drive.google.com/open?id=1Uih_BuqrRJoaj4o3otgqZiWiYgeBIH9H
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P 6:
Unfortunately, there was never an opportunity to perform system performance assessments because the necessary CDC contacts were no longer available and the CDC consultants responsible for receiving data were no longer responsive to our multiple requests to proceed with testing and evaluation.
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Archive:
https://drive.google.com/open?id=1Uih_BuqrRJoaj4o3otgqZiWiYgeBIH9H
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P 5:
The goal of Aim 3 was to comprehensively evaluate ESP:VAERS performance in a randomized trial, and in comparison to existing VAERS and Vaccine Safety Datalink data. We had initially planned to evaluate the system by comparing adverse event findings to those in the Vaccine Safety Datalink project—a collaborative effort between CDC’s Immunization Safety Office and eight large managed care organizations. Through a randomized trial, we would also test the hypothesis that the combination of secure, computer-assisted, clinician-approved, adverse event detection, and automated electronic reporting will substantially increase the number, completeness, validity, and timeliness of physician-approved case reports to VAERS compared to the existing spontaneous reporting system; however, due to restructuring at CDC and consequent delays in terms of decision making, it became impossible to move forward with discussions regarding the evaluation of ESP:VAERS performance in a randomized trial, and compare ESP:VAERS performance to existing VAERS and Vaccine Safety Datalink data. Therefore, the components under this particular Aim were not achieved.
As it turned out, however, the CDC had its own considerations. According to Lazarus and colleagues, they completed initial development of the new system, but repeated attempts to proceed with testing were blocked by the CDC; the relevant CDC officials stopped responding to their inquiries.43 “Due to restructuring at CDC and consequent delays in terms of decision making, it became impossible to move forward with discussions regarding the evaluation of [the system’s] performance in a randomized trial, and compare [its] performance to existing VAERS […] data,” the researchers concluded with academic courtesy.44
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Archive:
https://drive.google.com/open?id=1Uih_BuqrRJoaj4o3otgqZiWiYgeBIH9H
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P 6:
Preliminary data were collected from June 2006 through October 2009 on 715,000 patients, and 1.4 million doses (of 45 different vaccines) were given to 376,452 individuals. Of these doses, 35,570 possible reactions (2.6 percent of vaccinations) were identified. This is an average of 890 possible events, an average of 1.3 events per clinician, per month. These data were presented at the 2009 AMIA conference.
The CDC did not bother to share its reasons for cutting off contact with the research team. However, it would not be unreasonable to infer that the CDC’s decision was heavily influenced by the fact that preliminary data from the new system suggested an adverse event rate of roughly 1 in 10 vaccinees, several orders of magnitude higher than the VAERS reported rate.[e3] 45 Regardless, if it were only “structural changes” that hindered the new system’s implementation, the CDC, the federal agency responsible for monitoring vaccine safety, could have resumed its efforts at any time in the intervening years.
As you may have already guessed, that hasn’t happened.
“The mission of the VAERS system is to continually monitor vaccine adverse events after they are widely distributed. Because it is a voluntary and uncontrolled system, its sole function is to raise a warning signal when a potential vaccine adverse event is identified, which it does.” – That is a partially correct claim. Indeed, VAERS was not intended to provide real data on the rate of vaccine adverse events or to prove causality. However, its inherent deficiencies do not allow the system to effectively fulfill its stated mission and provide true alerts about vaccine adverse events. This is due to the high rate of underreporting, which makes any comparison to population background rates or clinical trial results meaningless. To identify a vaccine safety signal, one needs to compare the rate of reported adverse events to some other “base rate”. However, if rates aren’t comparable, which is the case for passive reporting systems like VAERS, the comparison isn’t scientifically valid.
“VAERS’s goal is to compare its reporting rate to population background rates. For instance, if VAERS receives reports of people fainting in the two weeks following vaccination, it could be compared to the occurrences of fainting in the population to determine whether they are higher, lower, or similar.” – As explained in this chapter, because VAERS data is heavily underreported, non-randomized, and uncontrolled, it cannot be meaningfully compared to population background rates or rates observed in vaccine clinical trials.
“Anomalies of an irregular magnitude for a particular vaccine can be identified in VAERS by comparing the rate recorded for a specific vaccine with that of rates of other vaccines recorded in the system.” – The VAERS reporting rate for any vaccine is influenced by many factors, at least some of which are unknown. The impact of these factors cannot be quantified or even roughly assessed. The assumption that VAERS reporting rates for different vaccines is identical, or even similar, has no scientific basis. There is also no scientific method to estimate the difference in VAERS reporting rates for different vaccines. Consequently, comparing VAERS reporting rates between different vaccines is not scientifically valid.
“The cases documented in VAERS are mostly health conditions occurring following vaccination that were reported by laypeople who are inexperienced in diagnosing medical and physiological phenomena. As a result, the vast majority of cases reported to VAERS are unrelated to vaccines.” – This is a partially correct claim. About a third of VAERS reports come from medical personnel who are, or should be, experienced in diagnosing and reporting medical events. This is indeed a relatively low rate, but it stems directly from the decision of the US health authorities not to require medical personnel to report vaccine adverse events (unlike notifiable infectious diseases). Secondly, it is impossible to ascertain whether a VAERS case was caused by a vaccine without a thorough examination of the case details, including the patient’s medical record, and potentially performing additional medical tests. This is almost never done by VAERS personnel or anyone else. Also, recall from chapter 2 that medical science has yet to develop a theoretical framework for reliable diagnosis of vaccine adverse events. In any case, VAERS’s shortcomings only serve to emphasize its inability to perform its stated mission of monitoring vaccine safety.
“VAERS is considered to be a very unreliable tool. One can easily file false reports in the system.” – That’s correct and begs the question, why did US health authorities create such a deficient and unreliable reporting system? Why aren’t healthcare professionals required to report? Why aren’t reports verified?
Why did the CDC block the government-funded project that demonstrated that the system could be improved significantly? Could it be that a deficient and unreliable vaccine adverse event reporting system actually serves US health authorities’ interests?
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Website: VAERS website
https://vaers.hhs.gov/data/dataguide.html
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Archive:
https://web.archive.org/web/20180209232915/https:/vaers.hhs.gov/data/dataguide.html
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On the other hand, more serious and unexpected medical events are probably more likely to be reported than minor ones, especially when they occur soon after vaccination, even if they may be coincidental and related to other causes.
“According to the CDC, the rate of VAERS reporting for serious adverse events is higher than that of minor symptoms, and so for serious symptoms, the VAERS rate is similar to the actual rate, and that’s what matters.” – Indeed, the VAERS website claims that serious adverse events after vaccination are reported to VAERS at a higher rate compared to mild symptoms.46 However, this claim is not backed up by any scientific reference or evidence.
http://pediatrics.aappublications.org/content/127/Supplement_1/S45
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Archive:
https://drive.google.com/open?id=16YlUk81p9MTRKh7erSEIzhdMIJF5ngM_
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PMID: 21502240
Lead Author/Year: James Baggs, 2011
Journal: Pediatrics
“VAERS is not the only US vaccine monitoring system for adverse events. There is also the Vaccine Safety Datalink (VSD) system, which is similar to VAERS but does not suffer from the same drawbacks.” – The VSD system is not an adverse event reporting system and is therefore not covered in this chapter. It is a CDC-run information network that pools data from several major US healthcare providers’ computerized records. These providers have agreed to make available their clients’ data to CDC researchers for the purpose of vaccine adverse event analysis and monitoring (as well as some other uses).47 VSD analysis reports are not fundamentally different from epidemiological studies performed by researchers using data stored in other healthcare information systems. Epidemiological studies will be discussed in chapters 4 and 5.
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Website: HCSRN website
http://www.hcsrn.org/en/Collaboration/Consortia/vsd.html
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Archive:
http://archive.is/TKFoj
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PI: Frank DeStefano, MD of the CDC Immunization Safety Office Funding agency: Centers for Disease Control and Prevention (CDC)
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Website: CDC website
https://www.cdc.gov/vaccinesafety/ensuringsafety/monitoring/vsd/data-sharing-guidelines.html
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Archive:
http://archive.is/KtqCB
https://www.nap.edu/catalog/11234/vaccine-safety-research-data-access-and-public-trust
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Author/Year: IOM 2005
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P 96:
One of the key goals of the Vaccine Safety Datalink (VSD) data sharing program should be maintenance of public trust in the use of the VSD to draw scientific conclusions about vaccine safety. Because of the contentious nature of some of the issues surrounding the VSD and the strained relationship between the Centers for Disease Control and Prevention (CDC) and some people who have been critical of CDC’s vaccine safety activities, the committee recognizes that there may be public concerns about the role of CDC in reviewing proposals to use VSD data and in setting the VSD research agenda. A perception of bias in the VSD proposal-review process and in the priorities established for the VSD research plan could jeopardize public confidence in VSD activities. There are legitimate reasons for public concern about the independence and fairness of the review of VSD data sharing proposals and of determinations about when and how to release preliminary findings of VSD analyses. The lack of transparency of some of those processes affects the trust relationship between the National Immunization Program (NIP) and some members of the general public.
P 97-98:
The limitations of the VSD data sharing program and the limited ability of independent external researchers to conduct high-quality corroboration studies or studies of new hypotheses create a special need to involve the public in the priority-setting process for the VSD research plan. Only NIP-affiliated or MCO-affiliated researchers have access to VSD data for events before and after January 1, 2001, for corroboration studies and studies of new hypotheses, so independent external researchers may not be able to conduct studies that members of the public consider to have high priority.
[…]
In view of the limited ability of independent researchers to conduct high-quality VSD studies of new hypotheses and the limited ability of the public to provide input on which VSD studies should be pursued with federal tax dollars, there needs to be greater opportunity for input into the setting of priorities in the VSD research plan and greater transparency of the priority-setting process.
The CDC’s Vaccine Safety Office manages the VSD system.[f3] 48 It is inaccessible to outside researchers, healthcare professionals, and the general public. Researchers who wish to analyze VSD data must submit a formal request to the CDC detailing their research proposal and intentions. Only CDC-approved researchers gain access to the system.49 In this way, as an Institute of Medicine special committee explained, the CDC ensures that only researchers within its circle of trust have access to information in the VSD.50 Thus, data on the true magnitude of vaccine adverse events can continue to be concealed from the public indefinitely.
Vaccine adverse event reporting systems are an essential element of the official testing and monitoring process intended to ensure vaccine safety. Vaccine pre-licensure clinical trials are relatively limited in scope and cannot identify uncommon adverse health events or susceptible population subgroups. As a result, computerized reporting systems were developed in the US and other countries for the collection of adverse event reports from healthcare professionals, pharmaceutical companies, and the general public. These systems are supposed to identify unusual patterns and warn against potential safety issues of widely used vaccines.
Unfortunately, the promise of vaccine adverse event reporting systems has not been realized because these systems are intentionally designed to be unable to fulfill their stated mission. Since healthcare professionals are not required to report, and system operators are not soliciting reports (passive reporting), the reporting rate for the system is very low, estimated to be between 1 and 10 percent of the actual rate. In addition, reports are not verified for content or followed up by system personnel. Consequently, the system cannot provide reliable estimations of the true magnitude of vaccine adverse events. In addition, since system rates cannot be meaningfully compared to population background rates or rates observed in vaccine clinical trials, it cannot produce reliable warnings about unusual adverse events of specific vaccines.
The flaws inherent in vaccine adverse events reporting systems are well known to the agencies that operate them and to the researchers who analyze their data. However, neither seems to be bothered by it. On the contrary, health authorities appear quite comfortable with deficient and unreliable-by-design reporting systems, whose data cannot be used to challenge their Vaccines are safe! message, as exemplified by the CDC inexplicably blocking a government-funded project to improve VAERS. Nevertheless, these agencies try to have it both ways by exploiting VAERS’s unreliable and underreported data to concoct deceptive, scientifically shaky studies that bolster their claim that adverse events are extremely rare. Health authorities’ decision to create and maintain deficient-by-design vaccine adverse event reporting systems is even more jarring when one considers that the very same agencies have been operating high-quality mandatory reporting systems for infectious diseases for decades.
Evidently there is a common thread running through vaccine clinical trials, the lack of basic scientific research into vaccine adverse events, and vaccine adverse event reporting systems. In the next two chapters, we will look into epidemiological studies, yet another component of the vaccine safety testing and monitoring process, and examine how they fit into this picture.
Ask your doctor:
- Are you familiar with the VAERS system? Have you ever filed a case with VAERS?
- If your patient experiences an adverse health event following vaccination, do you check VAERS for reports of similar symptoms before deciding how to proceed with the case? Do you report it to VAERS?
- Do you think healthcare professionals should be required by law to report adverse health events following vaccination, similar to their obligation to report cases of notifiable infectious diseases?
Epidemiology[g3] is a branch of medical science that studies disease at the population level rather than the individual level. Epidemiological research collects data about diseases in a specific population or subpopulation and analyzes it with statistical tools to try to gain insight into their causes, patterns, and effects. For example, an epidemiological study of the effect a particular vaccine had on a particular country may compare the number of disease cases before and after the vaccine was introduced, correlate vaccine coverage (the percentage of people vaccinated) with disease levels over time, and check for unusual morbidity patterns. Thus, researchers can estimate the impact the vaccine had on disease incidence: Did morbidity decline following vaccine introduction? Is there a correlation between disease incidence and vaccine coverage?[h3] Did the severity of illness change following vaccine introduction? and other relevant questions.
Epidemiologists, for the most part, rely on collecting health-related data from computer systems and processing it using statistical analysis software. Thus, epidemiologists work with computers, not patients. They rarely, if ever, perform physical examinations of study subjects. In fact, in most epidemiological studies the researchers never meet the study subjects or even know their names.
In contrast to epidemiological research, biomedical research (also known as “experimental” research) studies the human body, its systems, components, and mechanisms. Biomedical researchers typically perform laboratory and/or medical procedures using specialized tools and devices. In addition to measuring various physiological parameters, researchers conduct experiments, or trials – in test tubes, laboratory animals, or humans – and analyze the results.
In short, epidemiology views the individual as a “black box” and studies disease characteristics at the “box” population level, while biomedical research investigates the inner workings of the “black box”.
With the ever-increasing use of computers to keep track of medical data in the modern era, the relative importance of epidemiology to the study of disease in general, and vaccination in particular, has also increased. How a vaccine affects the individual is the domain of the biological sciences – immunology, virology, etc. But public health officials have to consider the effect vaccines have at the population level, and that is where epidemiology comes in. Consequently, it is crucial to understand the role epidemiology plays in determining vaccine policy and how the health establishment uses it to reinforce the claim that vaccines are safe and effective. To do so, we must familiarize ourselves with epidemiological tools and techniques – their strengths and weaknesses, and their advantages and disadvantages.
Even laypeople who devote considerable time to studying the science of vaccination often avoid delving into epidemiological research. This is due to the arcane technical terms, research methods, and statistical tools of the field. This chapter, therefore, will provide a quick introductory course in epidemiology. We will explain the basic terms in simple, understandable language, helping the reader to grasp both the strengths and limitations of epidemiological research. This understanding will enable readers to spot the weaknesses of vaccine safety epidemiological studies presented in the next chapter and later in the book.
For this crash course in epidemiology we will use a classic historical example of epidemiologic research in action: the discovery of the association between cigarette smoking and lung cancer.
https://tobaccocontrol.bmj.com/content/tobaccocontrol/21/2/87.full.pdf
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Archive:
https://drive.google.com/open?id=1YAWDfVhDNWb1O-SiwIRQDk9lF1jC7IUw
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PMID: 22345227
Lead Author/Year: Robert N Proctor, 2012
Journal: Tobacco Control
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P 1:
Lung cancer was still a very rare disease; so rare, in fact, that medical professors when confronted with a case sometimes told their students they might never see another.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2589239/pdf/yjbm00061-0033.pdf
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Archive:
https://drive.google.com/open?id=1BWQHwQt9syfRTHCefTfRF1f6QblhOLkb
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PMID: 2192501
Lead Author/Year: Colin White, 1990
Journal: The Yale Journal of Biology and Medicine
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P 3
Lung cancer was very rare in the 19th century, so rare, in fact, that when medical professors encountered a patient with the disease they told their students to pay close attention as they might never see another case in their lifetimes.1 That began to change in the early 20th century as reports of a steady increase in lung cancer, mainly in men, began to emerge. These reports came from three distinct sources: death registration repositories, autopsy reports from pathologists, and doctors who treated cancer patients. In the 1920s, about 1.5 percent of men in the UK were already dying of lung cancer. By 1947, that number had risen 13-fold, to nearly 20 percent. Similar numbers were reported in the US, Australia, Switzerland, and Denmark.2
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Archive:
https://drive.google.com/open?id=1BWQHwQt9syfRTHCefTfRF1f6QblhOLkb
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P 4:
The Department of Agriculture has made estimates of the average annual consumption of tobacco products in the United States among persons aged 15 years and over, from 1900 to 1960. During this period the number of cigarettes marketed, per person, increased by a factor of about 80, from 50 to 3,900; the sale of pipe tobacco decreased from 1.6 to .6 pounds, and the number of cigars fell from 110 to 60, per person.
The beginning of the 20th century also marked the point when cigarette consumption began to rise. Until that time, cigarettes were rolled by hand, which made them relatively expensive and, as a result, not very popular. The invention of cigarette-making machines pushed down the price of cigarettes, significantly increasing their popularity. Cigarette consumption in the US rose 80-fold between 1900 and 1960, from about 50 cigarettes a year per person to 3,900, while consumption of cigars and pipe tobacco decreased.3
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Archive:
https://drive.google.com/open?id=1BWQHwQt9syfRTHCefTfRF1f6QblhOLkb
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P 2:
Speculation about these factors continued, but there was also much criticism of the view that the reported increase in lung cancer was credible. These criticisms led to debate throughout the forties and early fifties. An editorial in the British Medical Journal in 1942 stated “It is doubtful whether the higher incidence of cancer of the lung observed in recent years is real or only apparent”. Factors which were listed as likely to be responsible for an artificial increase were better diagnosis of the disease and increased longevity of the population.
The rapid, sustained rise in lung cancer that began in the early 20th century naturally attracted the attention of doctors, researchers, and public health officials. The common assumption was that such a rapid rise was likely caused by changes in living conditions, that is, by “environmental factors”. Suggested potential causes included cigarette smoking, air pollution from car exhaust and factory smokestacks, toxic tar vapors coming off newly built asphalt roads, and aftereffects of influenza or tuberculosis. A minority opinion was that the apparent increase in lung cancer incidence was not a true increase but rather due to better diagnosis or an indirect result of a rise in life expectancy.4
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Archive:
https://drive.google.com/open?id=1BWQHwQt9syfRTHCefTfRF1f6QblhOLkb
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P 4-5:
Doll has noted that it had been known long before 1950 that smoking could cause disease, but it was “not until 1950 that a large amount of data was obtained in a sufficiently representative and responsible way to lead more than a handful of people to believe that smoking might actually be responsible for causing a material amount of disease” [28]. The two case-control studies in 1950 that were not only large but also well conducted were by Wynder and Graham in the United States [29] and by Doll and Hill in England.
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Archive:
https://drive.google.com/open?id=1BWQHwQt9syfRTHCefTfRF1f6QblhOLkb
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P 5-6
As time passed, however, the theory that cigarette smoking was primarily responsible for the huge increase in lung cancer gained dominance. Experts began voicing the opinion that cigarette smoking was causing lung cancer in the early 20th century. These voices multiplied in the 1930s and 1940s with the publication of initial epidemiological studies that demonstrated a statistical association between smoking and lung cancer. Then, in 1950, two large-scale studies found a strong correlation between smoking and lung cancer.5 These studies, the first American and the second British, were heavily criticized in scientific circles. One argument was that the studies did not demonstrate a causal association between cigarette smoking and lung cancer but a mere statistical correlation. In addition, some scientists highlighted the weaknesses of the research method used and its inherent biases.[i3] Another critique stressed the facts that some lung cancer patients hadn’t smoked a day in their lives and no cancer-causing substance had yet been found in cigarettes. The harsh criticism directed at these studies stemmed in part from academic disagreement but also from the fact that that by then cigarettes were very lucrative products promoted by a rich and powerful industry.6
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Archive:
https://drive.google.com/open?id=1BWQHwQt9syfRTHCefTfRF1f6QblhOLkb
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P 6-7
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Archive:
https://drive.google.com/open?id=1BWQHwQt9syfRTHCefTfRF1f6QblhOLkb
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P 9, 11
In response to the criticism, two larger, improved epidemiological studies were designed and performed in the early 1950s and published in 1954. These studies, which analyzed data from tens of thousands of people, found a clear statistical association between cigarette smoking and lung cancer. In addition, they found that cancer rates increased as subjects smoked more and were higher for cigarette smokers than pipe smokers, and the death rate in subjects who had quit was lower than in those who hadn’t.7 However, even these studies were not sufficient to convince the entire scientific establishment. Prominent statisticians (Berkson, Fisher) still refused to acknowledge a causal link between cigarette smoking and lung cancer, stating that such a link would be proven only if convincing biological evidence was found. They based their criticism on methodological weaknesses of the studies and some seemingly contradictory results.8
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Archive:
https://drive.google.com/open?id=1YAWDfVhDNWb1O-SiwIRQDk9lF1jC7IUw
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P 2
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Archive:
https://drive.google.com/open?id=1BWQHwQt9syfRTHCefTfRF1f6QblhOLkb
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P 10:
In 1958, by which time there was substantial epidemiologic evidence on smoking as a risk factor for lung cancer, the British Medical Journal commented as follows on this evidence: “The fact that experimental work has not provided complete and irrefutable proof has tended to hinder its wholehearted acceptance”. A representative of the tobacco industry described this objection more forcefully, by stating that the search for chemical carcinogens in tobacco “has now been continued so long in the hands of so many able investigators and with such meager results that many scientists no longer believe it likely that tobacco smoke exerts any significant effect as a direct or specific carcinogen for human tissues”. In 1962, Lancet summarized the results of the chemical analysis of tobacco products by noting “no carcinogen has been found in adequate concentration in tobacco smoke; no genuine lung cancers have been produced experimentally”.
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Archive:
https://drive.google.com/open?id=1YAWDfVhDNWb1O-SiwIRQDk9lF1jC7IUw
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P 2:
Tobacco industry laboratories conducted their own investigations: Brown and Williamson researchers identified benzpyrene in cigarette smoke in 1952, and by the end of the decade cigarette manufacturers had characterised several dozen carcinogens in cigarette smoke, including arsenic, chromium, nickel and a veritable zoo of polycyclic aromatic hydrocarbons (chrysene, methylcholanthrene, dibenzanthracene, dibenzacridene, etc). As Philip Morris research director Helmut Wakeham put it in 1961, carcinogens were found in ‘practically every class of compounds in cigarette smoke’.
Of course, scientists were looking for physiological evidence as well. They studied the components of cigarettes hoping to identify any carcinogens. Attempts to trigger cancer in laboratory animals were only partially successful. Smearing cigarette smoke-derived substances on the skin of laboratory animals produced cancer,9 but attempts to generate lung cancer through inhalation of cigarette smoke failed. These mixed results meant that experimental research had not yet conclusively linked cigarette smoking to the development of lung cancer.10 (It should be noted, however, that cigarette manufacturers had ample scientific evidence for this connection in their possession as early as the 1950s11 but chose to hide this information from the public and deny the damage done by cigarettes for decades to come.)
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Archive:
https://drive.google.com/open?id=1BWQHwQt9syfRTHCefTfRF1f6QblhOLkb
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P 8:
The Surgeon General of the United States took a similar position: “The weight of the evidence is increasingly pointed in one direction: that excess smoking is one of the causative factors in lung cancer”.
Despite the lack of decisive physiological proof, the accumulation of further high-quality epidemiological evidence finally tipped the scales. In 1957, the British Medical Research Council (MRC) determined that smoking, and particularly cigarette smoking, was a major cause of lung cancer. A few years later, the US Surgeon General also determined that cigarette smoking was the main cause of lung cancer.12 From then on, the causal link between cigarette smoking and lung cancer was indisputable in scientific circles, and in time, became common knowledge.[j3]
Interpreting the results of epidemiological studies is always tricky due to the inherent limitations of statistical analysis. Demonstrating that a statistical correlation exists between two phenomena cannot shed any light on the biological mechanism that may underlie the association. In other words, while an epidemiological study may discover a correlation between two phenomena, A and B, it cannot explain why B occurs following A. As we have seen with smoking and lung cancer, the lack of a proven biological mechanism for the development of lung cancer delayed acceptance of the causal link by scientists for many years. The scientific world could not make up its collective mind whether the correlation repeatedly found in epidemiological studies represented a causal association or not.
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Website: Australian Bureau of Statistics
http://www.abs.gov.au/websitedbs/a3121120.nsf/home/statistical+language+-+correlation+and+causation
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Archive:
http://archive.is/fZLZR
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Correlation is a statistical measure (expressed as a number) that describes the size and direction of a relationship between two or more variables. A correlation between variables, however, does not automatically mean that the change in one variable is the cause of the change in the values of the other variable. Causation indicates that one event is the result of the occurrence of the other event; i.e. there is a causal relationship between the two events. This is also referred to as cause and effect.
What is, then, the difference between statistical correlation and causal association? A correlation between two phenomena exists if an increase in the incidence of one is accompanied by an increase in the other.[k3] 13 A correlation is established by statistical calculation alone. To demonstrate correlation, one does not have to explain, theorize about, or even speculate as to a mechanism that may link the two phenomena.
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Website: emedicinehealth
http://www.emedicinehealth.com/emphysema/article_em.htm
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Archive:
http://archive.is/WKTsi
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The importance of cigarette smoking as a risk factor for developing emphysema cannot be overemphasized. Cigarette smoke contributes to this disease process in two ways. It destroys lung tissue, which results in the obstruction of air flow, and it causes inflammation and irritation of airways that can add to air flow obstruction.
In contrast, determination of causation relies on an experimentally demonstrated mechanism by which one phenomenon can lead to the other. The relationship between smoking and shortness of breath, for example, is explained by the fact that cigarette smoke damages lung tissue, impairing its ability to perform the crucial exchange of oxygen and carbon dioxide.14 A causal link in medicine is proven through physiological (biological, biomedical) research. Epidemiologic studies may provide supportive or contrary evidence of a causal link, but they cannot prove or disprove it (more on this later).
As mentioned above, epidemiological studies can only confirm or refute the existence of a statistical correlation. An epidemiological study investigating the association between cigarette smoking and lung cancer could potentially find no correlation between the two (similar rates of lung cancer in smokers and nonsmokers), a positive correlation (lung cancer is more common in smokers than nonsmokers), or a negative correlation (lung cancer is less common among smokers, implying that smoking protects against lung cancer). A correlation also has a strength qualifier. For example, a study may find that smokers of a single pack per day may be five times more likely then nonsmokers to get lung cancer, a strong correlation, while two-pack-a-day smokers may be eight times more likely to get lung cancer (an even stronger correlation).
It is important to remember that a chance correlation between two phenomena is not rare. There are many examples of a phenomenon whose incidence increases or decreases in accordance with that of another despite no causal association between them. In the early 20th century, for example, along with the rise in lung cancer and cigarette consumption in the US, there were corresponding rapid increases in candy consumption, agricultural pesticide use, and paving of asphalt roads (and probably many other measurable phenomena). By using statistical tools and techniques, epidemiologists can usually distinguish meaningful correlations from those that are due to chance alone. For example, the correlation between the increase in lung cancer incidence and the acceleration of asphalt paving led some researchers to speculate that there might be a connection between the two. According to this hypothesis, inhalation of toxic fumes from freshly paved roads was the main culprit behind lung cancer. This hypothesis could be tested using epidemiological tools. For instance, the correlation between lung cancer and the number of paved roads in different geographical areas could be examined. In addition, the population could be stratified by level of exposure to asphalt roads – with those who live or work in high-traffic areas at the top and farmers living miles from any paved roads at the bottom – and the correlation to lung cancer for each of the groups could be calculated.
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Website: E X T O X N E T | Extension Toxicology Network
http://pmep.cce.cornell.edu/profiles/extoxnet/TIB/epidemiology.html
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Archive:
http://archive.is/QP9g
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Epidemiological studies can never prove causation; that is, it cannot prove that a specific risk factor actually causes the disease being studied. Epidemiological evidence can only show that this risk factor is associated (correlated) with a higher incidence of disease in the population exposed to that risk factor. The higher the correlation the more certain the association, but it cannot prove the causation
However, in the end, even the best epidemiological studies cannot prove or disprove a causal link between two phenomena.15 In the absence of an evidence-based explanation of how phenomenon A is related to phenomenon B, one cannot rule out the possibility that the observed correlation between the two is coincidental or due to a third phenomenon not yet considered (more on that later). In order to unequivocally prove the existence of a link between two phenomena, such as cigarette smoking and lung cancer or a vaccine and a subsequent adverse health event, biomedical studies must be conducted that illuminate an underlying physiological mechanism.
Therefore, a statistical correlation established by an epidemiological study, no matter how strong, is considered less conclusive than a causal link demonstrated in physiological studies, since it represents a lower level of certainty. If we know nothing about how one thing leads to the other, we cannot rule out the possibility that the correlation between them is mere coincidence and does not represent a true cause-and-effect relationship.
Determination of Causal Links in Medicine
As noted above, despite the accumulation of epidemiological studies in the 1940s and 1950s that indicated a correlation between cigarette smoking and lung cancer, the scientific world was slow to acknowledge the reality of a causal link between the two. This hesitation was in part due to the fact that determining causation in medicine is inherently uncertain and inconclusive. Scientists had to evaluate the supportive evidence, while at the same time considering contradictory study results. Though epidemiologic research repeatedly found a correlation, there were plenty of counterexamples: people who had smoked several packs a day for decades and never got cancer and people who had never smoked and got lung cancer anyway. The second fact is easily explained: Lung cancer could have multiple causes, including secondhand smoke as well as other, non-smoking-related, exposures. But how could smoking be said to cause lung cancer when so many heavy smokers never develop lung cancer?
The answer is that the term causal link has a different meaning in medicine than in exact sciences like chemistry and physics. When physicists knock billiard balls into other billiard balls, they can predict how the collision will affect the direction and speed of each of the balls, and exactly where they will come to a halt on the table. All the factors involved in the event – from the number and size of the balls to the friction produced by the felt surface – are knowable, as are the laws of physics that govern their motion. In this scenario, scientists can easily describe the movement of the balls in terms of causal relationships: The stick hits the white ball and causes it to roll in a certain direction and at a certain speed; the white ball hits the red ball at a certain angle and speed and makes it change direction and speed; the red ball hits the blue ball, and so on. Whenever we arrange the balls in the same formation and move the white ball toward them in the exact same direction with the exact same speed, an identical result will occur: The balls will stop at exactly the same positions on the billiard table.
In medicine, however, the situation is radically different. Such certainty doesn’t exist. The human body, infinitely more complex than a billiard table, is made up of countless “moving parts” that interact with each other and are simultaneously influenced by many external factors. In fact, the human body is so complex that science currently understands only a small fraction of its workings. It is nearly impossible for biologists to predict all the downstream effects of a single change in a particular human body. Myriad biological processes affect other processes, any of which could be affected in multiple ways, directly or indirectly. Thus, lung cancer could develop in a person who smoked a pack a day since he was 20 years old and not in his classmate, who started at the same age and smoked two packs a day. To date, science has no definitive answers as to why one gets cancer while the other does not.
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Lead Author/Year: Phyllis Illari, 2014
Publisher: Oxford University Press
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P 32:
Rothman (1976) makes the point that in health situations what we call ‘causes’ are in fact components of sufficient causes, and are not sufficient in themselves. For instance, the measles virus is said to be the cause of measles, but in fact the ‘complete sufficient cause’ of measles also includes lack of immunity to the virus and exposure to the virus.
[…]
Rothman illustrates his ideas by means of ‘causal pies’—see Figure 4.1—still used in epidemiology now. He thinks that a sufficient cause of a disease is generally not one single causal factor, but a complete ‘causal mechanism’. Rothman takes a causal mechanism to be a minimal set of conditions and events that are sufficient for the disease to occur. In this perspective, no specific event condition or characteristic is sufficient, by itself, to produce the disease. So the definition of ‘cause’ does not describe a complete causal mechanism, but only a component of it.
If scientists cannot accurately predict which smokers will develop lung cancer, why, then, do they maintain there is a causal link between the two? In other words, why do we say that cigarette smoking causes lung cancer? The answer is that smoking increases the risk of developing lung cancer. While smoking does not cause lung cancer in every individual, it certainly increases an individual’s likelihood of developing lung cancer.16
Similarly, if a vaccine increased the risk of a certain side effect, the vaccine would be considered a cause of the side effect, even if it did not occur in every vaccinee. In this case, too, there are many factors, too many to accurately evaluate, operating simultaneously in the vaccine recipient’s body, shaping the end result. Thus, a vaccine could cause paralysis in a particular person while not harming any of the other 999 individuals vaccinated on the same day. Moreover, the same vaccine, administered a day earlier or a day later, might not have caused paralysis even in the affected person. Even though so many people received the vaccine with no ill effects, an epidemiological study could still find a solid correlation between the vaccine and paralysis, and a physiological study could explain how the vaccine caused paralysis in that specific individual.
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Website: NIH - Safe to Sleep
https://www1.nichd.nih.gov/sts/campaign/science/Pages/backsleeping.aspx
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Archive:
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The single most effective action that parents and caregivers can take to lower a baby's risk of SIDS is to place the baby to sleep on his or her back for naps and at night. Compared with back sleeping, stomach sleeping carries between 1.7 and 12.9 times the risk of SIDS. The mechanisms by which stomach sleeping might lead to SIDS are not entirely known. Studies suggest that stomach sleeping may increase SIDS risk through a variety of mechanisms, including:
Increasing the probability that the baby re-breathes his or her own exhaled breath, leading to carbon dioxide buildup and low oxygen levels; Causing upper airway obstruction; Interfering with body heat dissipation, leading to overheating.
Whatever the mechanism, evidence from numerous countries—including New Zealand, Sweden, and the United States—suggests that placing babies on their backs to sleep results in a substantial decline in the SIDS rate compared to placing babies on their stomachs to sleep.
It is important to remember that, despite the tremendous advances made by medicine in the modern age and the vast knowledge we have accumulated about the human body, many present-day medical policies and recommendations are based on statistical correlations alone. In the absence of scientific evidence solidly linking two phenomena, it is quite common for formal medical bodies to base policy recommendations on nothing more than a statistical association between them. A typical example is the “Back to Sleep” campaign, begun in 1994, which recommended laying infants on their backs, as opposed to their stomachs or sides, in order to reduce the risk of “crib death” (SIDS). This recommendation is made despite the fact that medical science still does not know exactly why back sleeping appears to be safer for babies.17
In chapter 1 we introduced the concept of a clinical trial. That discussion briefly touched on some of the features of epidemiological research. You may recall that the RCT, the form of clinical trial which is considered the industry’s “gold standard”, is controlled (includes trial and control groups), randomized (subjects are randomly assigned to a group), and double-blinded (subjects and researchers are not aware of who is in which group).
RCTs are interventional studies, studies in which participants are asked to behave in a particular manner at the researchers’ request. Subjects could be asked to consume a specific medical product, such as a drug or vaccine, or perform some activity periodically, such as exercise for 15 minutes a day or drink a glass of red wine at dinner every night.
In contrast to interventional studies, an observational study does not interfere with subjects’ daily lives; researchers simply collect and analyze relevant health information. Nowadays, most observational studies are conducted by analyzing data that is stored in computerized data banks. Thus, observational studies are generally easier, quicker to perform, and less costly than interventional studies. In addition, they facilitate analysis of much larger volumes of data. On the other hand, however, observational studies are more prone to bias. Thus, their results are considered lower quality than those of clinical trials.
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Website: The Free Dictionary
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Archive:
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Prospective study an epidemiologic study in which the groups of individuals (cohorts) are selected on the bases of factors that are to be examined for possible effects on some outcome.
For example, the effect of exposure to a specific risk factor on the eventual development of a particular disease can be studied. The cohorts are then followed over a period of time to determine the incidence rates of the outcomes being studied as they relate to the original fact ors in question.
The term prospective usually implies a cohort selected in the present and followed into the future…
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Website: The Free Dictionary
https://medical-dictionary.thefreedictionary.com/retrospective+study
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Archive:
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Retrospective study:
a study in which a search is made for a relationship between one (usually current) phenomen on or condition and another that occurred in the past. An example is a study of the family histories of young women diagnosed as having clear cell adenomas of the vagina, which yielded a relationship between the administration of diethy lstilbestrol to the mothers of the women during pregnancy and the development of the condition in the daughters.
Another important feature of epidemiological research relates to the time perspective of the study. In a prospective study (looking ahead), the researchers select a group of subjects, monitor them for a certain period of time and document changes in relevant health parameters (such as the number of subjects diagnosed with lung cancer during the study period). At the end of the study, the researchers analyze the data collected, summarize the results, and formulate their conclusions.18 In a retrospective study (looking back), the researchers select a group of subjects and examine relevant personal data that already exists, usually in one or more computerized systems.19
Prospective studies generally produce higher quality results than retrospective studies as they are less prone to bias. Because recruitment is complete before any of the studied events occur, the risk that the results would be skewed by a biased sample of subjects is reduced. In addition, the information collected by researchers is generally more complete and accurate, since much of it is recorded in real time. Retrospective studies, on the other hand, similar to observational studies, are faster, simpler, and cheaper to perform. They also allow for much larger study groups, enabling the investigation of relatively rare phenomena.
How do the two features of epidemiological research described above fit together? An interventional study (a trial) is always prospective, since the data the researchers seek does not yet exist (or they wouldn’t need the trial). An observational study may be prospective or retrospective. An observational prospective study might, for example, monitor smokers of varying levels for several years and look at how the incidence of lung cancer changes over time. An observational retrospective study might, instead, use existing patient records in a health provider’s computer system to answer the same questions.
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Website: New Health Advisor
http://www.newhealthadvisor.com/Types-of-Epidemiological-Studies.html
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Archive:
http://archive.is/3Yd7R
Observational studies are usually divided into four main categories:20
Cross-section: a study that examines data at a specific point in time in different populations. The raw data is evaluated at the population level (as opposed to the individual person level).
Example: Comparing lung cancer rates in various countries around the world and looking for factors that could explain any differences, such as the country’s level of industrialization.
Ecological: a study that looks for a correlation between two phenomena in a population. Similar to the cross-section, the ecological study also compares data at the population level and not at the individual level.
Example: A study examining the correlation between air pollution levels and the incidence of lung cancer in various US cities.
Cohort: a study investigating a group of individuals who share relevant characteristics but were variously exposed to the factor whose impact is to be examined.
Example: Evaluating the correlation between the quantity of cigarettes consumed per day and lung cancer incidence in urban men aged 50 to 60.
Case-control: a study comparing individuals who suffer from a common condition (e.g., type 1 diabetes) to a control group consisting of people without that condition. Control group subjects are deliberately chosen to closely match potentially relevant characteristics of subjects in the trial group. Each subject in the trial group is matched with one or more controls with similar characteristics, such as age, gender, and area of residence. The researchers try to identify risk factors by comparing the two groups.
Example: A study matching lung cancer patients with healthy controls who share similar demographic characteristics in order to find differences between the two groups that might hint at the cause for the disease (such as differences in smoking habits).
If you’re a little confused and having trouble remembering the distinctions between different types of observational studies, don’t worry. They’re all quite similar. The bottom line is this: Different types of observational studies use different statistical methods to look for correlations between phenomena in a population.
https://www.nap.edu/read/13163/chapter/12#583
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Lead Author/Year: Federal Judicial Center | National Research Council, 2011
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The second major reason for an invalid outcome in epidemiologic studies is systematic error or bias. Bias may arise in the design or conduct of a study, data collection, or data analysis. The meaning of scientific bias differs from conventional (and legal) usage, in which bias refers to a partisan point of view. When scientists use the term bias, they refer to anything that results in a systematic (nonrandom) error in a study result and thereby compromises its validity. Two important categories of bias are selection bias (inappropriate methodology for selection of study subjects) and information bias (a flaw in measuring exposure or disease in the study groups).
The quality of epidemiological research is determined, first and foremost, by the quality of the data on which it is based. It is next to impossible to draw valid conclusions from partial or inaccurate data. There are two main sources of bias, or error, which can potentially impair research quality: selection bias and information bias.21
Selection bias occurs when researchers, consciously or unconsciously, select a group of subjects (or a data set) that does not accurately represent the research population or does not suit the study’s research questions well. Including inappropriate subjects or excluding appropriate ones can skew a study’s results. For example, in our hypothetical ecological study investigating the correlation between air pollution and lung cancer cases in various US cities, including only a small number of cities could potentially bias the results in one direction or another if those cities are not representative of the nation as a whole.
Information bias occurs when researchers fail to gather accurate or complete data on subjects. For example, a study that examined the effects of cigarette smoke exposure could suffer from information bias if researchers collected information on the subjects’ smoking habits but didn’t consider other potential smoke exposures such as a spouse’s smoking. In addition, the smoking data itself could be inaccurate if it was obtained from a database that suffered from incomplete or unreliable reporting.
Data collection is followed by data analysis, which comes with its own potential sources of error. Researchers weed out bad data, apply statistical “corrections” to the data or parts of it, compute correlations, and the like. Naturally, the analysis techniques themselves could be flawed or not appropriate for the study. In addition, the conclusions drawn could be erroneous. The professional literature usually mentions one major potential source of error in data analysis: the confounder.
http://cebp.aacrjournals.org/content/10/8/813.full
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PMID: 11489747
Lead Author/Year: Elisa V. Bandera, 2001
Journal: Cancer Epidemiology Biomarkers and prevention
A statistical correlation between two phenomena, however robust, could be an optical illusion if there’s a confounder. A confounder is a separate variable, not included in the initial analysis, which is associated with the two phenomena examined. For example, several epidemiological studies found a positive correlation between alcohol consumption and lung cancer. This correlation suggested that alcohol consumption could be a significant risk factor for lung cancer. However, subsequent physiological studies that searched for biological proof for the alcohol-lung cancer connection could not find much supporting evidence. This failure led many in the scientific community to suspect that the correlation between alcohol consumption and lung cancer was artificial and did not represent a causal association. Indeed, further epidemiological studies found that the apparent link between the two stems from the fact that heavy drinkers are more likely to smoke, and smoking, as we already know, increases the risk of lung cancer. Supporting evidence for this assertion was found when researchers separated alcohol-drinking subjects into smokers and non-smokers. The lung cancer rate among alcohol-drinking smokers was very high, and it was close to average in alcohol-drinking non-smokers.22 Thus, when investigating the connection between alcohol consumption and lung cancer, cigarette smoking played a confounding role, since it, rather than alcohol consumption, is the true risk factor for lung cancer. The above example also demonstrates how statistical techniques in epidemiological research can reveal confounders and highlight their impact.
Bias and confounders are considered the main pitfalls of epidemiological research, but that presupposes that researchers behave honestly and objectively, in line with the scientific ideal. In practice, however, as we shall see in the next chapter, when researchers choose not to abide by ethical research guidelines, there are numerous techniques they can use to skew study results.
As was mentioned previously, epidemiology’s various kinds of observational studies are quite similar in nature. In all of them, a group of “subjects”, whether persons or populations, is selected and stratified according to various criteria. Then, researchers do statistical analysis, seeking correlations between group characteristics and one or more health outcomes.
Epidemiological studies can provide a good estimate of the incidence of a particular health condition in a population. They are also capable of generating, rather quickly, warning signals regarding emerging illnesses in a population, even when science can tell us nothing else about them. In addition, they can point to promising future research directions. Physiological research is less suited for studying all of the above.
On the other hand, since epidemiological studies can only determine statistical correlations, rather than causal links, they produce relatively low certainty. It’s difficult, therefore, to use the results of these studies to devise diagnostic or therapeutic tools or to make decisions regarding an individual patient’s care. Physiological research, as already discussed in chapter 2, can potentially provide assistance with all of those. For example, a study identifying the carcinogenic substances in cigarettes could lead directly to the production of safer cigarettes.
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Website: Oxford Medicine Online
http://oxfordmedicine.com/view/10.1093/med/9780199661756.001.0001/med-9780199661756-chapter-103
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Archive:
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PMID: 20679844
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The ‘art’ of epidemiology is knowing when and how to apply the various epidemiological strategies creatively to answer specific health questions.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2917255/
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PMID: 20679844
Lead Author/Year: Christopher J. Pannucci, 2010
Journal: Plastic and Reconstructive Surgery
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A general explanation of research biases.
Despite its intensive use of statistical tools and methods, epidemiology is not considered a pure technical science. Some even describe it as a form of “art”.23 To conduct a high-quality study, researchers must formulate good research questions, select an appropriate study type, select a suitable group of subjects, collect comprehensive and reliable data, apply fitting statistical methods, neutralize biases, and identify confounders. There is no fixed blueprint to follow. The researchers are free to choose their tools and techniques and must use this freedom wisely if they wish to produce valuable and meaningful results. Even a small methodological misstep can significantly tarnish the quality of the research and the scientific merit of the results.24
http://nationalacademies.org/hmd/reports/2011/adverse-effects-of-vaccines-evidence-and-causality.aspx
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Archive:
https://drive.google.com/open?id=1nl18cdV_y3TtQBzoCq0tSiuYmHF1_yYQ
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Author/Year: IOM, 2011
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P 17 (46):
Epidemiologic analyses also cannot identify with certainty which individual in a population at risk will develop a given condition.
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Archive:
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P 50 (79):
Mechanistic evidence, particularly that emerging from case reports, occasionally can provide compelling evidence of an association between exposure to a vaccine and an adverse reaction in the individual being studied, but it provides no meaningful information about the degree of risk to the population or even to other individuals who have the same predisposing characteristics.
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Archive:
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P 50 (79):
Epidemiologic analyses are usually unable to detect an increased or decreased risk that is small, unless the study population is very large or the difference between the groups (e.g., vaccinated vs. unvaccinated) at risk is very high… These studies also can fail to detect risks that affect a small subset of the population.
Epidemiological research is highly suitable for assessing the incidence of phenomena and discovering correlations at the population level but, as we’ve seen, its findings are not applicable to individuals. For example, epidemiological studies can find a correlation between smoking and lung cancer, but they cannot determine whether a specific smoker will ever develop lung cancer.25 Physiological research, however, because it investigates the biological mechanism that links two phenomena, could potentially shed light on an individual’s medical condition.26 Epidemiological studies may also fail to detect risks that are relatively rare, or those that are expressed in only a small population subgroup.27
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Archive:
https://drive.google.com/open?id=1nl18cdV_y3TtQBzoCq0tSiuYmHF1_yYQ
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P 49 (78):
Epidemiologic evidence, by contrast, can support (“favors acceptance of”) a causal association or can support the absence of (“favors rejection of”) a causal association in the general population and in various subgroups that can be identified and investigated, unless or until supportive mechanistic evidence is discovered or a rare, susceptible subgroup can be identified and investigated.
So what happens when epidemiological and physiological studies contradict each other? In this case, physiological research has the upper hand. In the somewhat technical wording of the 2011 IOM report (discussed in chapter 2): “Epidemiologic evidence […] can support […] a causal association or can support the absence of […] a causal association in the general population and in various subgroups that can be identified and investigated, unless or until supportive mechanistic evidence is discovered […].”28 The reason for this, as mentioned previously, is the higher level of certainty inherent in physiological (mechanistic) research.
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Archive:
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49 (78):
Even in the presence of a convincing protective effect of vaccine in epidemiology, studies may not rule out the possibility that the reaction is caused by vaccine in a subset of individuals.
It is important to understand – and this point will come up again later in the book – that epidemiological studies, no matter how well done, cannot rule out a causal link between two phenomena (such as a vaccine and a new autoimmune condition) for an individual. In addition, sound physiological research that demonstrates a causal association in a specific person or group of people, cannot be refuted by epidemiological studies. This, too, is true for vaccines and adverse events as noted in the IOM 2011 report: “Even in the presence of a convincing protective effect of [a] vaccine in epidemiology, studies may not rule out the possibility that the [adverse] reaction is caused by [the] vaccine in a subset of individuals.”29 In other words, even if a correlation between a vaccine and an adverse event was not found in a large statistical study, that would not preclude the possibility that the vaccine did cause the adverse event in a specific person or group of people.
Epidemiology is a field of medicine that investigates disease on a population level through the use of statistical tools. Epidemiological research looks for statistical correlations between different phenomena in an attempt to elucidate a relationship between them. While such a study can demonstrate a statistical correlation, it cannot provide insight into a physiological mechanism by which A causes B (causal link). In order to prove a causal association in science, physiological (biomedical, mechanistic) studies must be performed.
In medicine, a causal link between two phenomena is often ambiguous and difficult to identify. A certain condition may be caused by several co-factors operating synergistically, each required for its development, but none causing it on its own. That is, a risk factor present in a particular person, heavy and prolonged smoking, for instance, might not necessarily cause the disease, lung cancer, in that individual. The difficulty in identifying relevant risk factors – including their roles, relative importance, and interrelationships – makes it challenging for modern medicine to explain the origins of many diseases. It is quite common, therefore, for medical bodies to make recommendations without a thorough understanding of the mechanism underlying a specific health condition. One such recommendation is the advice to parents to lay babies on their backs to prevent “crib death”, which is based entirely on epidemiological data.
Epidemiological studies come in several varieties. In an interventional study (trial), subjects are asked by researchers to take specific actions (e.g., take a drug), while in an observational study, researchers only gather information about the subjects. A prospective study tracks a group of people for a specific period of time and collects relevant data about them. A retrospective study analyzes existing data. Interventional studies are more expensive to perform than observational studies, but their results are generally of higher quality.
Prospective studies are more expensive and take longer than retrospective studies, but they suffer less from selection and information bias, which makes their results more reliable.
Epidemiological studies cannot predict whether a particular individual will get a certain disease, nor can they prove that a particular factor was, or wasn’t, the cause for that individual’s disease. Since they only deal with statistical correlations, they cannot refute the results of physiological studies. The fields of epidemiological and physiological research complement each other. Each has its own advantages, disadvantages, and uses.
Despite the fact that formal techniques and statistical tools are used in epidemiological research, there are no fixed recipes to follow when designing studies. Researchers must carefully select the research method, collect complete and reliable data, neutralize any bias, and apply correct analytical methods. Producing high-quality, meaningful research is no simple matter; some even consider it an art form.
“There are three kinds of lies: lies, damned lies, and statistics.”
In the previous chapter we introduced the medical field of epidemiology, its capabilities and limitations. In this chapter we will look at how medical and scientific bodies make use of biased epidemiological research to present an illusion of vaccine safety to the public. We will document this claim through in-depth analysis of a number of well-known vaccine safety studies from the past fifteen years, highlighting their fundamental flaws and describing the circumstances surrounding their publication.
The previous chapters exposed some of the systematic ways medical authorities and vaccine manufacturers cover up the true extent of vaccine adverse events. Given what we already know, it would be reasonable to suspect that the medical establishment would not, when necessary, shy away from initiating and promoting further biased research to achieve this objective. But in order to convince the vigilant reader that that is indeed what is happening, we must first answer some inevitable questions: Why would the medical establishment encourage biased vaccine safety research? How can the establishment control the outcome of vaccine safety research? Why would researchers and academics cooperate in producing biased science? Why would medical journals publish faulty or biased studies? And how could scientific studies be systematically biased without the public catching on?
Answering these questions is essential if one wants to understand exactly how the medical establishment uses epidemiological studies to preserve vaccines’ reputation. Therefore, before delving into the specifics of certain vaccine safety studies, we will devote the next few pages to outlining the context in which these studies are performed and published. Once one learns how science funding works and how vaccine safety research is conducted and published, it will not be possible to dismiss specific researchers’ breaches of the scientific code of ethics as the actions of a few “bad apples”. By putting our examples of faulty studies in context, taking into account the relevant players and the motives that drive them, a coherent picture emerges of a deliberate and systemic process used to generate a complex of misleading scientific research designed to cover up the truth about vaccine safety.
https://www.youtube.com/watch?v=qpUsg4bDH5w
or
https://www.youtube.com/watch?v=VtOh6vFnWg4
https://online.manchester.ac.uk/bbcswebdav/orgs/I3075-COMMUNITY-MEDN-1/DO%20NOT%20DELETE%20-%20PEP%20Quality%20and%20Evidence/QE-PEP-HTML5/media/F8430185-03E3-C538-8362-DE46812E97BE.pdf
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Archive:
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PMID: 12922137
Lead Author/Year: Jeffrey P. Baker, 2003
Journal: Vaccine
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Toward the end of the 1990s, after a relatively quiet decade and a half, concerns about vaccine safety began to re-emerge in the United States. This period of relative tranquility was preceded by the turbulence of the ‘70s and early ‘80s, when the media focused on the purported harms of the DTP, or “triple-vaccine” (a vaccine against diphtheria, tetanus and pertussis). National headlines followed the 1982 airing of the TV documentary DPT: Vaccine Roulette, which included footage of children who suffered severe adverse reactions following DTP vaccination.1 Across the Atlantic, similar stories about the DTP vaccine were published in the UK as early as the mid-1970s. These stories, backed by credible testimony from renowned doctors, sparked a public outcry that led the British government to suspend DTP vaccination for several years.2 Despite media chatter, however, and the support of a handful of maverick doctors and researchers, re-examination of DTP safety was limited in scope and depth. Public debate at the time was almost entirely confined to mainstream media – television, newspapers, and medical journals. Any information that reached the public was pre-filtered and edited, as was the norm in those days, making it difficult for parents of vaccine-injured children to make their case publicly, find like-minded parents, and win allies to their cause.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2376879/pdf/0980244.pdf
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Archive:
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PMID: 18172138
Lead Author/Year: Jeffrey P. Baker, 2008
Journal: American Journal of Public Health
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“Autism and its Histories” chapter.
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P 7:
The events that would bring these three histories together began in 1997, when New Jersey Representative Frank Pallone, representing a district concerned about environmental mercury poisoning, appended a rider to the FDA Modernization Act of that year to assess all of the agency’s products for mercury content. In response, the Center for Biologics Evaluation and Research (CBER) at the FDA initiated a formal risk assessment of thimerosal in vaccines beginning in April 1998.
[…]
Although acknowledging the many uncertainties involved, the FDA responded by inviting vaccine advisory bodies for consultation in June 1999. There followed a rapid series of meetings and conference calls involving representatives of the American Academy of Pediatrics and the Centers for Disease Control and Prevention (CDC), culminating in a joint statement released on July 9, 1999. Although noting that there was no evidence that the use of thimerosal as a vaccine preservative had caused any true harm, the groups agreed that “thimerosal-containing vaccines should be removed as soon as possible” given the concerns raised by the Environmental Protection Agency’s guidelines.
Once the DTP storm subsided, medical authorities enjoyed a quiet period that ended abruptly in the late 1990s. Public interest this time around was focused on the MMR – another triple vaccine (for measles, mumps and rubella) – and the mercury-based preservative thimerosal used in many of the routine childhood vaccines. Concerns about the MMR arose in the UK in 1998 with the publication of a paper by Dr. Andrew Wakefield and colleagues in The Lancet medical journal. Wakefield and his 12 co-authors suggested that the MMR vaccine might have caused autism and inflammatory bowel disease in some children who regressed developmentally following MMR vaccination.3 At nearly the same time in the United States, the FDA calculated, for the first time, the amount of mercury infants were receiving in routine vaccinations and discovered that the cumulative amount far exceeded the threshold considered safe by various government health agencies. Following these findings, even before the information reached the public, a number of US health organizations recommended removing thimerosal from childhood vaccines.4
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Archive:
https://drive.google.com/open?id=1ut2gq2Ph7rf7z4pm-C2T8shDuxQDqiBY
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P 7:
Meanwhile, the third of the historical streams, represented by parents within the “alternative” autism community, rapidly entered the debate. As detailed by journalist David Kirby, it was in fact a group of parents of autistic children (rather than parental organizations critical of vaccination such as the National Vaccine Information Center) who first seized upon thimerosal as an explanation for the autism epidemic.
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Archive:
https://drive.google.com/open?id=1ut2gq2Ph7rf7z4pm-C2T8shDuxQDqiBY
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P 7-8:
Parents organized effectively in the political realm as well. The self-designated “Mercury Moms” created an advocacy organization, Safe Minds. They were instrumental in persuading Congressman Burton to shift his focus from measles–mumps–rubella to thimerosal in his congressional hearings. And they organized successfully to oppose a rider to the Homeland Security Bill in 2003 that would protect thimerosal’s manufacturer from legal action.
The establishment’s sudden interest in removing mercury from vaccines caught the attention of some parents of autistic children. These parents were already collaborating in efforts to identify the causes behind the huge rise in autism rates and to find effective treatments for their children.5 The parents’ activities led to lively public discourse regarding an apparent link between vaccines and autism that culminated in a series of Congressional hearings from 2000–2002.6
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Website: Bulletin of the World Health Organization
http://www.who.int/bulletin/volumes/86/6/08-030608/en/
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Archive:
http://archive.is/BAwsA
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Despite these successes, vaccine anxieties continue to periodically impede this highly effective public health measure. In certain industrialized countries, most notably the USA, public concern has shifted its focus from the diseases vaccination can prevent, to the risks of the vaccines themselves. The Internet has become a significant channel for anti-vaccination views. The popular video-sharing web site YouTube offers a plethora of anti-vaccination clips. The Internet has also become a forum for alternative medicine practitioners to present their anti-vaccination ideas and promote alternative products.
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Article Name: Anti-Vaccination Movement and Parental Refusals of Immunization of Children in USA
https://ac.els-cdn.com/S0031393912000042/1-s2.0-S0031393912000042-main.pdf?_tid=5c8518f3-e7ca-4c27-9453-70eb7f0defdf&acdnat=1537379447_77722dce80b2060107f2ee77ed7af03d
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Archive:
https://drive.google.com/open?id=1zKynoN4jsw_8X1RcstnPtUK4xOw-6Wwr
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Lead Author/Year: Marian Ołpinski, 2012
Journal: Pediatria Polska
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P 4:
The most influential medium for parents beliefs about immunizations seems to be Internet. Approximately 74% of Americans have Internet access. In 2006, 16% of users searched online for information on immunizations or vaccinations. Over half (52%) of users believe ‘‘almost all’’ or ‘‘most’’ information on health sites are credible, yet the availability of inaccurate and deceptive information online has labeled the Internet a “modern Pandora’s box”.
The renewed public interest in vaccine safety issues (and particularly in the vaccine–autism link) accelerated during the next decade after the breakout of the internet in the early 2000s. The trickle turned into a creek, then into a mighty river, creating a new and unprecedented challenge to those in charge of the vaccine program. Newly created websites, mailing lists, and online forums enabled parents to discuss their children’s adverse vaccine reactions in ever-increasing numbers. The internet also enabled parents to gather vaccine-related information more easily and share it with other parents. Everything related to vaccines and vaccine policy, from the real risks of vaccine-preventable diseases to the dubious tactics of pharmaceutical companies, became the focus of intense online discussion. This information, which had, for the most part, been accumulating dust in the basements of public libraries, virtually inaccessible to the average parent, became available to anyone with an internet-connected computer. In addition, the Web became an amplifier for physicians and researchers who dared to criticize institutional vaccine policy.7 Thanks to the internet, these “rebel” professionals could now reach parents directly, bypassing the “old” media that had, until then, served as a de facto buffer between them and the general public.
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PMID: 15568260
Lead Author/Year: Steve P. Calandrillo, 2004
Journal: University of Michigan Journal of Law Reform
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From the abstract:
The internet worsens fears regarding vaccination safety, as at least a dozen websites publish alarming information about the risks of vaccines. Increasing numbers of parents are refusing immunizations for their children and seeking legally sanctioned exemptions instead, apparently fearing vaccines more than the underlying diseases that they protect against. A variety of factors are at play: religious and philosophical beliefs, freedom and individualism, misinformation about risk, and overperception of risk. State legislatures and health departments now face a difficult challenge: respecting individual rights and freedoms while also safeguarding the public welfare.
Within a few short years, through vigorous collaborative efforts coordinated through the internet, parents and researchers accumulated a large body of knowledge critical of vaccines and vaccination, based in large part on rational, science-based, and compelling claims. The once tiny group of non-vaccinating parents expanded rapidly, growing louder and ever more critical, until they became a force to be reckoned with.8 Health authorities like the CDC could no longer ignore the parents. They had to go on the offensive, and they did so by putting science – and more precisely, epidemiology – at the forefront of the battle.
Date: Oct 19, 2014
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Website: The Atlantic
http://www.theatlantic.com/health/archive/2014/10/how-anti-vaccine-fear-takes-hold/381355/
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Archive:
http://archive.is/uOhEJ
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For example –
Jacklyn Smoot, a 26 year-old new mother from Orange, California, feels torn. Her son’s pediatrician and the Centers for Disease Control and Prevention assure her that vaccines are safe and effective. Smoot hears personal stories from vaccine skeptics like her mother, some friends, and Internet bloggers, however, who warn that vaccines can cause injury or death. She wonders who is right.
Smoot’s struggle began when she got a flu shot in December 2012. Her mother’s reaction surprised her. “She said, ‘What? But you’re pregnant!’ She scared me,” Smoot says. “I found myself online for three hours trying to figure out if it was a good idea that I had gotten the flu shot while I was pregnant.”
Then she got on the Internet.
Smoot downloaded the recommended immunization schedule from the CDC website. She looked up each vaccine on the schedule. Although she says she tried to look at a variety of trustworthy websites, she can only remember reading any information supporting vaccination on the CDC website. Smoot, however, says she does not trust doctors and scientists. “I know they’re just going to tell me they’re safe, and they’re recommended, and this is what you’re supposed to do,” she says.
Dr. Neal Halsey is a professor at the Johns Hopkins Bloomberg School of Public Health and the School of Medicine. He runs the Institute for Vaccine Safety, providing independent assessment of and education on vaccine safety. “The vaccines we have available that are recommended for routine use in children are very safe vaccines,” he says.
Dr. Diane Griffin, a virologist and chair of the molecular biology and immunology department at Johns Hopkins, agrees. “Oh, yes, vaccines are very safe,” she says. According to the CDC, vaccines in the United States are the most safe and effective immunizations in history. The CDC’s website says severe reactions to vaccines “occur so rarely that the risk is difficult to calculate.”
“I probably find more information that says vaccines aren’t safe,” she says. “I think it’s only because …” She pauses. “Well, I don’t really know. It could be maybe what I’m paying attention to more.”
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Document Name: Talking with Parents about Vaccines for Infants
https://www.cdc.gov/vaccines/hcp/patient-ed/conversations/downloads/talk-infants-color-office.pdf
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Archive:br /https://drive.google.com/open?id=1CmLPr040TWioZcFMuyqifdm9GT9rsctH
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Author/Year: CDC, 2012
https://www.aap.org/en-us/Documents/immunization_vaccine-hesitant%20parent_final.pdf
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Archive:
https://drive.google.com/open?id=1-EzjdlPKRJgqy02o6xR_WypH7unz6fq6
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Author/Year: American Academy of Pediatrics, 2013
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The document contains examples of “parental concerns” and studies who answer them.
Health authorities’ response to the growing public criticism of vaccines was largely framed as “the (rational) scientists vs. the (emotional) parents”. According to this narrative, on one side of the debate stood science, represented by dignified experts who cited published research and echoed official health guidelines, while on the other stood parents (mostly mothers), who lacked formal relevant training and based their views on personal anecdotes and quack doctors’ publications.9 To enhance this narrative, authorities began commissioning studies on numerous vaccine-related topics to “beef up” the surprisingly small body of vaccine safety research and ostensibly provide decisive scientific answers to each and every criticism raised by parent advocacy groups.10
The authorities had several courses of action to choose from for their surge of vaccine safety research efforts. One obvious theoretical option would be to devise and conduct specialized medical tests and examinations on the infants and children allegedly harmed by vaccines in an attempt to better understand the biological factors and mechanisms underlying their medical conditions. If common features between the injured children emerged, they could further investigate them to identify exactly what was causing the damage – a vaccine, a particular vaccine ingredient, a combination of a vaccine and specific medical conditions, or even something unrelated to the vaccine itself.
As we saw in chapter 2, however, this line of investigation has never appealed to the medical establishment. Even today, after more than 60 years of scientific research in the modern era, there are very few mainstream physiological studies investigating vaccine adverse events. The establishment’s evident dislike for this line of inquiry is hardly surprising. Such studies could potentially draw scientific and public attention to injured children and to the alleged link between their injuries and the vaccines they received. Another tricky aspect of this approach, from health authorities’ perspective, is the relative difficulty of ensuring results favorable to vaccines. Physiological studies are largely based on standard biomedical tests, which are performed using instruments that produce precise numerical results. Attempting to “fix” such test results can be risky for researchers, since it is usually quite simple to send samples for retesting to another, independent, laboratory.
Date: Sep 4, 2012
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Website: USA TODAY
http://usatoday30.usatoday.com/news/health/story/2012-04-09/researchers-autism-causes/54129282/1
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Archive:
http://archive.is/ixi6Z
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More than $1 billion has been spent over the past decade searching for the causes of autism. In some ways, the research looks like a long-running fishing expedition, with a focus on everything from genetics to the age of the father, the weight of the mother, and how close a child lives to a freeway.[…] The lion's share of money for finding a cause has been spent on genetics.
[…]
But even genetics enthusiasts acknowledge that genes are only part of the answer. Studies of identical twins have shown that autism can occur in one and not the other, meaning something outside a child's DNA is triggering the disorder in many cases. Some cases may be entirely due to other causes, Dawson said.
That broad “other” category means “environmental” influences — not necessarily chemicals, but a grab bag of outside factors that include things like the age of the father at conception and illnesses and medications the mother had while pregnant.
https://relaped.com/wp-content/uploads/2018/03/3-1.pdf
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PMID: 29582071
Lead Author/Year: Ousseny Zerbo, 2018
Journal: JAMA Pediatrics
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P 2:
The etiology of ASD is unknown for the vast majority of cases; however, study findings suggest that both genetic and environmental factors have a role.
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Page Name: Causes-Autism spectrum disorder (ASD)
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Website: NHS website
http://www.nhs.uk/Conditions/Autistic-spectrum-disorder/Pages/Causes.aspx
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Archive:
http://archive.is/7kOxv
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Most researchers believe that certain genes a child inherits from their parents could make them more vulnerable to developing ASD. Cases of ASD have been known to run in families. For example, younger siblings of children with ASD can also develop the condition, and it's common for identical twins to both develop ASD. No specific genes linked to ASD have been identified, but it may be a presenting feature of some rare genetic syndromes, including Fragile X syndrome, Williams syndrome and Angelman syndrome.
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Article Name: Autism's Tangled Genetics Full of Rare and Varied Mutations
Date: June 8, 2011
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Website: Scientific American
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Archive:
http://archive.is/jftAe
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Large genetic studies have ruled out the idea that the malfunction of a universal gene or set of genes causes autism. And the new papers, which assessed the genomes of about 1,000 families that had only one autistic child, revealed that the genetic mutations that are likely responsible for the disorder are exceedingly rare—sometimes almost unique to an individual patient. Even some of the most common point of mutations were found in only about 1 percent of autistic children.
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Article Name: Autism spectrum disorders—A genetics review
http://www.nature.com/gim/journal/v13/n4/full/gim9201151a.html
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Archive:
https://drive.google.com/open?id=1pK0vm5TYvqNPFuIl_FgCyOFbKpQi4dM7
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PMID: 21358411
Lead Author/Year: Judith H Miles, 2011
Journal: Genetics in Medicine
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P 1:
Although it was initially assumed that major genome-wide and candidate gene association studies would lead most directly to common autism genes, progress has been slow. Rather, most discoveries have come from studies of known genetic disorders associated with the behavioral phenotype.
A “safer” research approach, then, would be to fund research that would look for, and find, non-vaccine factors responsible for the adverse reactions blamed on vaccines. US health authorities, for example, allocated more than a billion dollars over the past decade or so to study the (non-vaccine) causes of autism, most notably genetics.11 But despite the vast resources invested in the search for “the autism gene”, the results have been quite disappointing. Genes alone, as it turns out, can explain only a tiny fraction, if any, of the huge rise in the autism rate.12
Date: Mar 7, 2008
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Website: CNN
http://edition.cnn.com/2008/HEALTH/conditions/03/06/vaccines.autism/index.html
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Archive:
http://archive.is/qGAsI
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Numerous studies have shown no link between illness and the vaccines, public health officials have long contended.
While physiological (genetic) research has failed repeatedly to deliver a convincing blow to the growing public criticism of vaccine safety, epidemiology – and, more specifically, retrospective observational studies – have turned out to be health authorities’ most effective tool in the public relations battle. Within a few years, dozens of vaccine-related epidemiological studies were conducted, funded by interested public and private entities. These studies approached vaccine safety from various angles and seemingly affirmed and reaffirmed vaccination’s clean bill of safety. Many studies addressed the suspected link between vaccines and autism. Others focused on refuting the alleged link between vaccines and chronic illnesses such as diabetes, asthma, and allergies. For every critical claim made by parent advocates, one or more epidemiological study soon appeared, presenting evidence that seems to clear vaccines of all charges. Thus, vaccine proponents could use these studies to emphatically deny the link to vaccination of virtually any alleged vaccine injury. With epidemiological science ostensibly backing their position, officials could credibly claim that “science did not find a link between vaccines and disease or condition X.”13 The torrent of epidemiological studies that began in the late 1990s continues to flow to the present day, ever increasing, as the public controversy over vaccines intensifies.
As described in the previous chapter, epidemiology deals with the study of population-level disease and is therefore ideal for making sweeping assertions about vaccine safety (although those assertions obviously depend on the quality of the studies). You may recall from chapter 4 that epidemiological studies can be distinguished by the intervention factor (interventional or observational), and the time-perspective factor (prospective or retrospective). Generally, interventional studies are more reliable than observational studies, and prospective studies yield higher quality results than retrospective studies.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4157320/
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Archive:
https://drive.google.com/open?id=1mX3RrTo-Jq6eEC-H_S1blqjDVfXYosUv
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PMID: 24768580
Lead Author/Year: Annette Rid, 2014
Journal: Vaccine
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P 2:
Randomised, placebo-controlled trials are widely considered the gold standard for evaluating the safety and efficacy of a new vaccine.
Retrospective observational studies are relatively inexpensive and easier to perform. In addition, they have one more distinct feature that is crucial to the discussion that follows: Their results can be rather easily “adjusted”. This point becomes clear when comparing retrospective observational studies to randomized controlled trials (RCTs), the industry’s “gold standard”14 and the staple of the vaccine licensing process.
Random allocation of subjects into trial and control groups, as well as concealment of the participants’ grouping throughout the trial (blinding), considerably limits researchers’ ability to skew, intentionally or otherwise, the results of an RCT. Unfortunately, these advantages do not apply to retrospective observational studies.
Unlike in RCTs, where subjects are allocated to groups by “coin flip”, in retrospective observational studies researchers allocate the subjects according to their own criteria. Researchers can easily tweak selection criteria as they see fit, adding subjects to one group, removing them from another, or moving subjects from one group to another. Even when researchers formally declare that they have randomly allocated subjects – for example, in selecting members of the control group in a “case-control” study – we have only their word for it. Unlike clinical trials, non-interventional epidemiological studies are not inspected by government officials or any other formal body. Consequently, in most, possibly all, vaccine-related retrospective observational studies, there is no one who monitors researchers’ conduct and ensures that they adhere to the formal research plan and ethical standards.
A retrospective observational study is inferior to the RCT in another crucial aspect: blinding. In a retrospective study, where relevant events have already occurred and the data to be analyzed already exists, researchers can “massage” the results to achieve a predefined outcome. One technique already mentioned above is moving subjects between groups to change the resulting comparison between the groups. RCTs, on the other hand, are prospective, which means the data doesn’t exist at the time of subject allocation. Hence, it is much more difficult, and frequently impossible, for researchers to affect the outcome by fiddling with the group allocation process. To do so, they would need to accurately predict in advance how certain participants would react to the trial interventions, which isn’t usually feasible.
Though many retrospective observational studies are “controlled”, meaning they include a control group similar to an RCT, this, by itself, does not necessarily ensure credible results. Unlike in an RCT, researchers select who goes in the control group, which means they control the study’s “baseline”. Thus, with subjects’ data available to them, researchers can assign participants to study groups, run the statistical analysis, examine the outcomes, and reassign the participants if they don’t like the results. Since data analysis is fully computerized, they can easily repeat this process until desirable results are obtained.
The guidelines for retrospective observational studies, unlike RCTs, are quite flexible. As demonstrated in chapter 1, in order to come up with favorable safety results in pre-licensure clinical trials, manufacturers have to apply a rather ingenious workaround: testing a vaccine against a control group that receives a different vaccine (or a similar compound). The strict requirements of the trials – a control group, randomization, and blinding – gave rise to this devious method for clearing the required safety bar. Retrospective observational studies, however, are exempt from these restrictions, which means that researchers who wish to control a study’s outcome have a much easier task.
But why would scientists ever wish to purposely bias research results? Isn’t the discovery of scientific truth, and that alone, the purpose of their endeavors? Aren’t they bound by the lofty ideals of the scientific code of ethics, which demands that scientists perform their work with honesty, objectivity, and integrity?
Even in our day and age, when information flows more freely than ever before, many people still cling to a naïve view of science and the way it is practiced. Science is still regarded by many as trustworthy and objective, largely free of the internal politics, power struggles, vested interests, fraud, and corruption that plague other arenas. According to this view, which we call “The Pure Science Myth”, scientists are faithful professionals, diligently toiling in the lab, exercising cold logic, objectivity, and a well-developed sense of skepticism, all for the sake of providing a better future for humanity. Unlike most other professionals, scientists are expected to put objective truth before personal gain and self-interest, and if they ever fail to do so, they are to be harshly condemned by their peers.
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http://lib.cet.ac.il/pages/item.asp?item=7936
Archive:
http://archive.is/Uiya1
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http://lib.cet.ac.il/pages/item.asp?item=7935
Archive:
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http://lib.cet.ac.il/pages/item.asp?item=7931
Archive:
http://archive.is/2DQgz
https://www.nap.edu/catalog/1864/responsible-science-volume-i-ensuring-the-integrity-of-the-research
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Archive:
https://drive.google.com/open?id=1782CNgkLfXgxmkd3NtBj0diDm8PJjBb5
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Author/Year: NAS, 1992
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P 36:
Until the past decade, scientists, research institutions, and government agencies relied solely on a system of self-regulation based on shared ethical principles and generally accepted research practices to ensure integrity in the research process. Among the very basic principles that guide scientists, as well as many other scholars, are those expressed as respect for the integrity of knowledge, collegiality, honesty, objectivity, and openness. These principles are at work in the fundamental elements of the scientific method, such as formulating a hypothesis, designing an experiment to test the hypothesis, and collecting and interpreting data. In addition, more particular principles characteristic of specific scientific disciplines influence the methods of observation; the acquisition, storage, management, and sharing of data; the communication of scientific knowledge and information; and the training of younger scientists. How these principles are applied varies considerably among the several scientific disciplines, different research organizations, and individual investigators.
https://www.nap.edu/catalog/1864/responsible-science-volume-i-ensuring-the-integrity-of-the-research
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Archive:
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Author/Year: NAS, 1992
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P 95:
Regardless of the incidence, the panel emphasizes that even infrequent cases of misconduct in science are serious matters. The number of confirmed incidents of misconduct in science, together with the possibility of underreporting and the results presented in some preliminary studies, indicate that misconduct in science is a problem that cannot be ignored. The consequences of even infrequent cases of misconduct in science require that attention be given to appropriate methods of treatment and prevention.
The Pure Science Myth is deeply embedded in our culture. Elementary school children are told stories of the early days of science and its champions – Marie and Pierre Curie, Louis Pasteur, Alexander Fleming, and many others15 – not to forget Edward Jenner, inventor of the first vaccine.[l3] These heroes, we were taught, have laid the foundation for modern science, to which we owe our present-day prosperity. These seeds sown in early childhood are continuously nurtured by the formal bodies that govern and manage science. Thus, official publications of scientific institutions paint an idyllic picture of the scientific process, omitting any mention of internal politics, pursuit of self-interest, ego battles, financial motives, and the like, as if science were magically devoid of these harmful, yet ubiquitous, human realities.16 The occasional corrupt scientist is depicted as an outlier, a “bad apple” who must be disciplined for science to maintain its hard-earned and well-deserved reputation.17
Date: Sep 7, 2016
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Website: VOX
http://www.vox.com/2016/7/14/12016710/science-challeges-research-funding-peer-review-process
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Archive:
http://archive.is/FvXSC
The discourse inside scientific circles, however, is rather different. Scientists themselves are well aware of the considerable gap, or even chasm, between the ideal and the way science actually works (described below).18 Outwardly, however, to the general public, they maintain the rosy fiction. It can hardly be denied that, like any other institutional discipline, science is money-driven and significantly affected by greed, self-interest, and other human flaws.[m3] Thus, it is not at all surprising that research institutions and individual scientists occasionally deviate from the scientific ideals of objectivity, collaboration, and the uncompromising search for truth. But outliers exist in every field of human activity, and as long as any institution’s or individual scientist’s dishonest behavior can be attributed to personal ambition or an absence of moral fiber, it should not tarnish the reputation of science as a whole. Unfortunately, the ethical challenge presently facing science isn’t merely preventing and punishing scientific misconduct on the part of the occasional rogue scientist. The real problem in science goes much deeper and has broader implications. In fact, it is fundamental to the way in which modern science is conducted.
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Website: NIH website
https://www.nih.gov/about-nih/what-we-do/budget
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Archive:
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Website: NSF website
https://www.nsf.gov/nsb/documents/1997/nsb97186/nsb97186.htm#federal
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Archive:
http://archive.is/xYL6g
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Within the Federal budget, there should be an overall strategy for research, with areas of increased and areas of decreased emphasis… To ensure the most effective use of Federal discretionary funding it is essential that agreement be reached on which fields and which investment strategies hold the greatest promise for new knowledge that will contribute most effectively to better health, greater equity and social justice, improved living standards, a sustainable environment, a secure national defense, and to extending our understanding of nature.
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A Yale scientist confesses about “funding biases” he performed in some of his studies, funded by commercial as well as government agencies, and explains that pressure system under which governmental bodies funding research are operating.
Article Name: Research Funding: When Is the Money Dirty?
Date: June 13, 2014
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Website: Huffington Post
https://www.huffingtonpost.com/david-katz-md/research-funding-when-is-_b_5493613.html
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Archive:
http://archive.is/Mz2fY
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All research starts with biased funders and researchers — because in the absence of such bias, it would be research no one would bother doing. I don’t think anyone runs studies in the absence of hopes and preferences pertaining to the outcomes.
[…]
So, too, do all funders. While the NIH does not generally manufacture and sell the interventions it studies, it certainly does care about the outcomes. NIH, too, must justify its existence, and budget — just not to shareholders. NIH and all federal agencies are accountable to Congress, and by extension to us, in our tax-paying multitudes. NIH competes in the federal budget with other societal priorities (and, no doubt, pork-barrel boondoggles); and perhaps more intensely, the various institutes compete with one another for slices of the common pie. Too many negative study results tend to suggest that an institute is not spending money all that well and wisely — and affect the outcome of that competition. Even NIH program officers are biased about study outcomes.
Scientific research costs huge amounts of money that mostly come from government and corporations. Without funding, there can be no science. The National Institutes of Health (NIH) alone is responsible for the allocation of a yearly biomedical research budget of $32 billion.19 This budget is spent on building labs, purchasing research equipment, and paying scientists’ salaries. But medical research budgets, however large, are not unlimited. As such, the institutional (or business) entities in charge of allocating research budgets set their own criteria and priorities, which, of course, align with their agendas and interests.20 Thus, as one might expect, research money is directed toward studies that are consistent with, or at least do not oppose or contradict, the policies of the funding body.
Date: May 1, 2015
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Website: The Scientist
http://www.the-scientist.com/?articles.view/articleNo/42799/title/Follow-the-Funding/
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Archive:
http://archive.is/Wpcec
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A few years ago, David Sinclair’s lab was slipping through his fingers. With grant money running dry and the outlook for overall federal research budgets bleak, the Harvard geneticist was losing lab members because he couldn’t support them with funding from the National Institutes of Health (NIH), as he had done in years past. Sinclair says his 18-person-strong group dwindled to just four or five people. “And that was painful,” he recalls.
“I had to let people go for lack of money.”
And Sinclair says he’s not alone. “Even at a place like Harvard, I know [other] labs that have downsized dramatically and even closed down,” he says. “So it’s hit across the board.”
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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0133061#pone.0133061.ref012
Archive: http://archive.is/B5y7y
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http://www.bmj.com/content/317/7173/1647
Archive:http://archive.is/ao0fc
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http://www.apa.org/gradpsych/2016/01/research-funding.aspx
Archive:http://archive.is/R4iUH
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https://www.youtube.com/watch?v=8AQxkIcXrt0
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Website: NIH website
https://nexus.od.nih.gov/all/2015/06/29/what-are-the-chances-of-getting-funded/
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Archive:
http://archive.is/wiTtL
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According to NIH data, only 20-30% of applying researchers are granted funding of their research proposals.
Again, there can be no scientific research without funding. Researchers cannot operate without grants that allow them to purchase appropriate equipment, hire research assistants, perform trials and tests, and so on. Any researcher, even one holding a permanent (“tenured”) position in an academic institution, must keep raising money to continue working.21 Professional reputation and institutional status are largely contingent on the ability to secure funding,22 which makes researchers fully dependent on the research funding institutions. A scientist, however talented, cannot attain sustained scientific success without mastering the art of winning research grants. The powers that be must view the scientist’s work favorably; thus research proposals must be consistent with the funding institution’s policies. A research proposal that could threaten the sponsor’s interests is very likely to be turned down.23 A scientist whose current research challenges the interests or policies of the research funder is likely to find that the money source dries up. Thus, scientists soon learn it is in their own best interests to align their research proposals with their sponsors’ expectations.[n3] Failure to do so would result in the grant being awarded to a colleague who better anticipated the sponsor’s intentions and adjusted the research proposal, and its expected results, accordingly.24
Since they possess the power to decide how research budgets are allocated, funding institutions effectively control the path that science takes, each in its respective area of responsibility. Often, they do not even have to express their views and intentions explicitly. Scientists will do their utmost to identify which way the wind is blowing and adjust their research proposals accordingly.
One could argue, perhaps, that institutions funding medical research have no clear preferences or vested interests in many, or even most, research areas, in which case they would allocate their research budgets according to strictly professional and objective considerations. For all we know this might be true, but if there is one enterprise in which the medical establishment has a clear, decisive, and unequivocal agenda – it is to promote vaccination.
https://www.nap.edu/catalog/10782/financing-vaccines-in-the-21st-century-assuring-access-and-availability
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Archive:
https://drive.google.com/open?id=15_AilgxcXkfeOJaNbCgScTr2MbeuMTuD
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Author/Year: IOM, 2004
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P 196:
The major contributors to vaccine research in the United States are companies conducting industrial research, government agencies (the National Institutes of Health [NIH] and the Department of Defense [DoD]), and the academic institutions they fund.
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Article Name: United States vaccine research: a delicate fabric of public and private collaboration. National Vaccine Advisory Committee.
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PMID: 9411380
Lead Author/Year: NVAC 1997
Journal: Pediatrics
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Table 2 on P 2:
Vaccine research is funded almost entirely by government bodies and the pharmaceutical industry, both of which have very clear vested interests in the success of the vaccine program.[o3] 25
Page Name: GlaxoSmithKline to Plead Guilty and Pay $3 Billion to Resolve Fraud Allegations and Failure to Report Safety Data
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Website: US Department of Justice, Office of Public Affairs
https://www.justice.gov/opa/pr/glaxosmithkline-plead-guilty-and-pay-3-billion-resolve-fraud-allegations-and-failure-report
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Archive:
http://archive.is/pfgvJ
Date: Sep 10, 2015
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Website: Spiegel Online
http://www.spiegel.de/international/zeitgeist/spiegel-interview-with-whistleblower-doctor-peter-wilmshurst-a-1052159.html
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Archive:
http://archive.is/PA2Th
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SPIEGEL: How exactly did they offer it to you? They probably didn't say: “Here's a bribe for you.”
Wilmshurst: No, of course not! Initially we were talking about the results that I'd obtained: That the drug that I had been testing for them did not work and had dangerous side effects. Then the company representatives asked me to leave some of the patients out of the data analysis. Without these patients, the study result would have been positive. When I said I couldn't do that, they asked me not to publish the data. And to compensate me for the work I had done in vain, they said, they would offer me this amount of money.
Date: Nov 24, 2012
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Website: Washington Post
https://www.washingtonpost.com/business/economy/as-drug-industrys-influence-over-research-grows-so-does-the-potential-for-bias/2012/11/24/bb64d596-1264-11e2-be82-c3411b7680a9_story.html
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Archive:
http://archive.is/eFJxM
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When the company is footing the bill, the opportunities for bias are manifold: Company executives seeking to promote their drugs can design research that makes their products look better. They can select like-minded academics to perform the work. And they can run the statistics in ways that make their own drugs look better than they are. If troubling signs about a drug arise, they can steer clear of further exploration.
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Article Name: Many Antidepressant Studies Found Tainted by Pharma Company Influence
Date: Oct 21, 2015
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Website: Sceintific American
http://www.scientificamerican.com/article/many-antidepressant-studies-found-tainted-by-pharma-company-influence/
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Archive:
http://archive.is/cxvEV
A vaccine manufacturer, like any commercial company, is primarily focused on making profit. Accordingly, it aims to sell as much of its product as it can, and for the highest possible price. News stories or scientific papers depicting vaccine products in a negative light could seriously hurt a company’s image and sales. Additionally, a defective or harmful vaccine could mean heavy fines imposed by the government.26 So it is hardly surprising that a vaccine manufacturer, as a business entity, has no interest in funding or publishing scientific research unfavorable to its products. Hence, the studies they fund will almost always present vaccines in a positive light. Studies with negative results are likely to never see the light of day.27 Researchers employed by pharmaceutical companies, whether company employees or academics hired to perform a specific study, understand the rules of the game well and follow them obediently. A Washington Post article aptly describes the established norms of the field: “When the company is footing the bill, the opportunities for bias are manifold: Company executives seeking to promote their drugs can design research that makes their products look better. They can select like-minded academics to perform the work. And they can run the statistics in ways that make their own drugs look better than they are. If troubling signs about a drug arise, they can steer clear of further exploration.”28
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Website: CDC website
https://www.cdc.gov/mmwr/preview/mmwrhtml/00056796.htm
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Ten Great Public Health Achievements -- United States, 1900-1999:
Vaccination […]
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Archive:
http://archive.is/ZQXW
Health authorities, for their part, have their own vested interest in the vaccine program. They regard vaccines as one of the greatest achievements of public health, and medicine in general.29 Unlike pharmaceutical drugs, medical devices and most medical treatments – all of which are marketed mainly by their manufacturers – the childhood vaccine program is promoted directly, and almost exclusively, by health authorities. In the US national vaccine recommendations and policies are issued by the CDC, and state legislatures carry them out. As they direct and promote the vaccine program, these authorities would be the first to be blamed for any harm caused by a childhood vaccine. It is small wonder, then, that health authorities are not eager to fund studies that could link approved and marketed vaccines to adverse events. Why would they? Criticism would undoubtedly be directed at them, as it should be. This self-preservationist tendency to avoid funding research critical of vaccination strengthened from the late 1990s onwards, as public debate on vaccine safety heated up once again.
Date: Sep 1, 2011
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Website: Sceintific American
http://www.scientificamerican.com/article/straight-talk-about-vaccination/
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Archive:
http://archive.is/gFzXa
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This sad state of affairs exists because parents have been persistently and insidiously misled by information in the press and on the Internet and because the health care system has not effectively communicated the counterarguments, which are powerful.
[…]
The key facts parents need to know, though, are that vaccines prevent potentially fatal diseases, that vaccines have a high degree of safety, and that their safety is constantly evaluated and reevaluated in a system operating independently from the pharmaceutical companies that make vaccines.
Their strategy to shore up trust in the vaccine program, then, is to convince the public that “the science on vaccines is settled” and that laypeople should accept the “scientific consensus” of “vaccine experts”. A spokesperson for the health establishment will patiently explain that the vaccine topic is extremely complex, and the average parent simply cannot make sense of it at all. Medical decisions should be based on expert advice, which in turn is firmly based in science.30
The truth of the matter, however, is that vaccine science isn’t even remotely objective. The medical establishment conceals from a credulous public the grim reality that vaccine science is largely funded by interested parties which produce studies that advance the funder’s agenda, not the public’s.
This strategy capitalizes on the pervasiveness of The Pure Science Myth that the medical and scientific establishments have cultivated for many decades. This false narrative has been used for years to shore up the vaccine program’s reputation and to advance vaccine manufacturers’ profit margins. Thus, it serves those invested in the vaccine program well, as well as the scientific and medical professions in general, which enjoy generous funding and high public esteem. Most people are unaware that the institutions funding vaccine science are not objective, their motives are not pure, and the science they fund is neither impartial nor objective.
Before we look at a representative sample of vaccine safety studies, let’s do a short recap of the main points presented so far in this chapter.
The present surge of vaccine skepticism, which has been increasing since the late 1990s, requires the medical establishment to work harder to maintain the vaccine program’s reputation. In response to claims from parents and advocacy groups, health authorities have commissioned dozens of studies, most of them epidemiological, intended to provide scientific evidence of vaccine safety. Health authorities, along with pharmaceutical companies, control most of the vaccine safety research budget. Thus, authorities and vaccine makers fund research projects which are likely to support their agenda. Most of their studies have been retrospective and observational, the easiest type of epidemiological study to manipulate. Since securing research funds is so fundamental to a scientist’s career, there is never a shortage of researchers willing to adjust their results to align with the funding institution’s agenda. Thus, even while exploiting science’s longstanding reputation for integrity, authorities promote deceptive, manipulated research to a credulous public as decisive proof of vaccine safety.
For the most part, these contrived studies are tailored to address prevailing critical claims, such as “vaccines cause autism”, or “the HPV vaccine may lead to autoimmune disease”. The publication of these studies is typically accompanied by an orchestrated public relations campaign in the mainstream media to saturate the airwaves with the idea that “vaccines are [still] safe” and the criticism directed at them was found, once again, to be scientifically baseless. The orchestrators of this media campaign rightly assume that most parents will be either unable to access the original paper or will not bother to read it. The few who do read the paper will be unlikely to comprehend its scientific jargon or able to expose its flaws and biases.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2685008/pdf/pone.0005738.pdf
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Archive:
https://drive.google.com/open?id=1qOwUWd9WRgChSUN-jNC8AJjaaT2yuEBR
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PMID: 19478950
Lead Author/Year: Daniele Fanelli, 2009
Journal: PLOS One
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P 1:
A pooled weighted average of 1.97% […] of scientists admitted to have fabricated, falsified or modified data or results at least once –a serious form of misconduct by any standard–and up to 33.7% admitted other questionable research practices. In surveys asking about the behaviour of colleagues, admission rates were 14.12% […] for falsification, and up to 72% for other questionable research practices.
[…]
Considering that these surveys ask sensitive questions and have other limitations, it appears likely that this is a conservative estimate of the true prevalence of scientific misconduct.
Manipulated or falsified scientific research is, unfortunately, not uncommon. A review of studies that examined the issue found that almost 15% of scientists reported that their colleagues had falsified research results at least once. More than 70% reported that their peers had performed other dubious research activities. The review author also noted that, given the sensitivity of the issue, it is quite likely that the real numbers are higher than those reported.31 Obviously, this data indicates this is not the aberrant behavior of a few “bad apples” and implies a systemic problem that is a direct result of the manner in which scientific research is funded and conducted.
There are two main techniques used to manipulate epidemiological research: manipulation of the raw data and/or manipulation of the statistical analysis of the raw data.
Epidemiologists can tailor their research data set to support their desired outcome in numerous ways. They can select a small group of subjects in advance whose data will yield the desired outcome; select a large group and exclude those subjects that do not fit the desired outcome; use partial or unverified data that fits the desired outcome; specifically select a group of subjects and claim they were randomly selected; fiddle with selection criteria to change group composition, and more.
The statistical analysis phase also allows a great deal of flexibility. Researchers can process and reprocess the set of data using a variety of statistical techniques, choosing the one that produces the desired outcome. In addition, they can deliberately make erroneous or inappropriate calculations and then omit them from the published paper. They can also opt to include only calculations which show favorable results and exclude others that yield less desirable results.
Now let’s look at five vaccine safety studies. We will analyze, among other things, the authors’ conflicts of interest, study flaws, data manipulation techniques used, and how these studies were used to influence public opinion on vaccine safety. This small, yet representative, sample will demonstrate the deceptive way in which parties with vested interests use science to bolster vaccines’ public image.
http://www.nejm.org/doi/pdf/10.1056/NEJMoa021134
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Archive:
https://drive.google.com/open?id=1Yr4-bZH0ybUOZcp52BHoxzR_A1gjSSG6
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PMID: 12421889
Lead Author/Year: Kreesten Meldgaard Madsen, 2002
Journal: NEJM
Madsen 2002: MMR Vaccine and Autism
Paper name: “A Population-Based Study of Measles, Mumps, and Rubella Vaccination and Autism”32
Journal and publication year: New England Journal of Medicine, 2002
Lead author: Kreesten Meldgaard Madsen
Type of study: Cohort retrospective observational study
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Archive:
https://drive.google.com/open?id=1Yr4-bZH0ybUOZcp52BHoxzR_A1gjSSG6
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P 1:
This study provides strong evidence against the hypothesis that MMR vaccination causes autism
Short description: a cohort study that examined the records of over half a million Danish children born between 1991 and 1998. The study compared the rate of autism between children vaccinated with the measles, mumps, and rubella vaccine (MMR) and those that were not vaccinated with the vaccine. The researchers found that the autism rate in both groups was almost identical, slightly lower, in fact, in the MMR group. The size of the study population and the fact that it included all Danish children born in the specified period led the authors to declare that “this study provides strong evidence against the hypothesis that MMR vaccination causes autism.”33
Date: Nov 7, 2002
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Website: LA Times
http://articles.latimes.com/2002/nov/07/science/sci-autism7
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Archive:
http://archive.is/K80dM
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Article Name: Danish Study Finds No Links Between Vaccine and Autism
Date: Nov 6, 2002
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Website: Wall Street Journal
http://www.wsj.com/articles/SB103661903159271588
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Archive:
http://archive.is/bXtrs
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Article Name: The Autism-Vaccine Myth
Date: Sep 5, 2014
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Website: PBS
www.pbs.org/wgbh/nova/body/autism-vaccine-myth.html
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Archive:
http://archive.is/QNv9e
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The New England Journal of Medicine publishes “A population-based study of measles, mumps, and rubella vaccination and autism” by Madsen et al. These authors describe “strong arguments” against the hypothesis that the MMR vaccine causes autism, based on an analysis of data from 537,303 children in Denmark, 82% of whom had received the MMR vaccine.
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Website: CDC website
http://www.cdc.gov/vaccinesafety/concerns/autism.html
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Archive:
http://archive.is/SCAqJ
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Page Name: Do Vaccines Cause Autism?
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Website: Johns Hopkins University School of Public Health - Institute for Vaccine Safety
http://www.vaccinesafety.edu/vs-autism.htm
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Archive:
http://archive.is/4VNXR
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Page Name: Vaccine Safety: Examine the Evidence
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Website: AAP, 2013
https://www.aap.org/en-us/Documents/immunization_vaccine_studies.pdf
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Archive:
https://drive.google.com/open?id=1l1B_FNOu118F7xhM8z7zhmohkVYgoJfs
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Document Name: Information Sheet Observed Rate Of Vaccine Reactions Measles, Mumps And Rubella Vaccines
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Author/Year: WHO, 2014
http://www.who.int/vaccine_safety/initiative/tools/MMR_vaccine_rates_information_sheet.pdf
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Archive:
https://drive.google.com/open?id=12JQoDTvzr3qlbq93QChZP8a_vhOSn9J5
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P 3, 9
http://nationalacademies.org/hmd/reports/2011/adverse-effects-of-vaccines-evidence-and-causality.aspx
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Archive:
https://drive.google.com/open?id=1nl18cdV_y3TtQBzoCq0tSiuYmHF1_yYQ
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Author/Year: IOM, 2011
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P 145 (174)
Media and establishment response: The 2002 study by Madsen and colleagues is one of the most cited studies in the field of vaccine safety. The paper was published in a prestigious medical journal (NEJM) and received ample media attention.34 It is referenced by many institutional webpages concerning the “debunked” link between vaccines and autism, including the websites of the CDC, the WHO, and the American Academy of Pediatrics (AAP).35 The 2011 IOM report, discussed in chapter 2, names Madsen 2002 as one of only five vaccine–autism studies that met the quality threshold set by the committee.36 Each of the aforementioned organizations maintain, echoing the authors, that the study presents “strong” evidence against the alleged link between vaccines and autism.
Date: Apr 13, 2011
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Website: Reuters
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Archive:
http://archive.is/h1qLN
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A scientist in Denmark has been indicted by a federal grand jury in Atlanta for allegedly stealing $1 million in grant money that the Centers for Disease Control and Prevention had earmarked for autism research. U.S. prosecutors on Wednesday said they are seeking to extradite Poul Thorsen, 49, accused of wire fraud and money laundering. He used the stolen money to buy a home in Atlanta, a Harley Davidson motorcycle and two cars, prosecutors said. […] Thorsen, a visiting scientist at the Atlanta-based CDC in the 1990s, helped two government agencies in Denmark obtain $11 million in research grants. He moved back to Denmark in 2002 to be principal investigator for the program. Prosecutors said he was also in charge of administering the research dollars, earmarked in part to study the relationship between autism and exposure to vaccines.
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Article Name: Dane indicted for defrauding CDC
Date: Apr 13, 2011
Website: Atlanta Business Chronicle
http://www.bizjournals.com/atlanta/news/2011/04/13/dane-indicted-for-defrauding-cdc.html
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Archive:
https://web.archive.org/web/20180919220752/https:/webcache.googleusercontent.com/search?q=cache:sU81j6AiPG8J:https://www.bizjournals.com/atlanta/news/2011/04/13/dane-indicted-for-defrauding-cdc.html+&cd=1&hl=en&ct=clnk&gl=il&client=firefox-b
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Thorsen worked in the 1990s as a visiting scientist at the CDC Division of Birth Defects and Developmental Disabilities, when the CDC was soliciting grant applications for research related to infant disabilities. Thorsen promoted the idea of awarding the grant to Denmark and provided input and guidance for the research. From 2000 to 2009, the CDC awarded more than $11 million to two governmental agencies in Denmark to study the relationship between autism and exposure to vaccines…
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Page Name: Fugitive Profiles
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Website: Office of Inspector General, HHS
https://oig.hhs.gov/fraud/fugitives/profiles.asp#other-fugitives
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Archive:
http://archive.is/wip/4qVfg
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PMID: 14519711
Lead Author/Year: Anders Hviid, 2003
Journal: JAMA
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Article Name: Measles-Mumps-Rubella Vaccination and Asthma-like Disease in Early Childhood
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PMID: 18845551
Lead Author/Year: Anders Hviid, 2008
Journal: American Journal of Epidemiology
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Article Name: Autism and Thimerosal containing vaccines: lack of consistent evidence for an association.
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PMID: 12880876
Lead Author/Year: Paul Stehr-Green, 2003
Journal: American Journal of Preventive Medicine
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Article Name: Thimerosal and the Occurrence of Autism: Negative Ecological Evidence From Danish Population-Based Data
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PMID: 12949291
Lead Author/Year: Kreesten M. Madsen, 2003
Journal: Pediatrics
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Archive:
https://drive.google.com/open?id=1Yr4-bZH0ybUOZcp52BHoxzR_A1gjSSG6
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Article title, P 1
Conflicts of interest: At the time of publishing, seven of the eight authors were employees of the Danish Epidemiology Science Center research group, which has been awarded numerous generous CDC research grants since the year 2000. The group was headed by Danish researcher Poul Thorsen, who has been “wanted” since 2011 by the US Office of Inspector General. Thorsen, who is still a fugitive from justice,[p3] was also a coauthor of the Madsen 2002 study. He was indicted for pocketing a substantial portion of the research budget allocated to the group by the CDC.37 The Danish study group headed by Thorsen was highly productive, releasing a succession of epidemiological studies within a few short years whose findings were fully in line with the CDC’s official stance that vaccines do not cause autism or other neurological syndromes.38 The eighth author of the paper, Diana Schendel, was a CDC employee.39
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Archive:
https://drive.google.com/open?id=1Yr4-bZH0ybUOZcp52BHoxzR_A1gjSSG6
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P 6:
Supported by grants from…the National Vaccine Program Office and National Immunization Program, Centers for Disease Control and Prevention…
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Website: CDC website
http://www.cdc.gov/vaccinesafety/concerns/autism.html
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Archive:
http://archive.is/SCAqJ
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There is no link between vaccines and autism
The Madsen 2002 study was largely funded by a CDC grant.40 At the time the CDC commissioned and funded the study, it was under intense public pressure due to parents’ claims that vaccines caused their children’s autism. The CDC categorically denied the link then, as it does today.41 Despite its supposedly neutral position as a government institution, the CDC has an obvious bias when it comes to vaccines. It is hardly surprising that the federal agency responsible for the childhood vaccination program firmly and consistently denies any link between vaccines and autism, as well as any link to other neurological and chronic disorders. A CDC-funded study proving a link between vaccines and autism, or even merely suggesting one, would likely spell disaster for the organization, not to mention open a Pandora’s box that could potentially obliterate the entire vaccine program.
http://nationalacademies.org/hmd/reports/2011/adverse-effects-of-vaccines-evidence-and-causality.aspx
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Archive:
https://drive.google.com/open?id=1nl18cdV_y3TtQBzoCq0tSiuYmHF1_yYQ
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Author/Year: IOM, 2011
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P 50 (79):
Epidemiologic analyses are usually unable to detect an increased or decreased risk that is small, unless the study population is very large or the difference between the groups (e.g., vaccinated vs. unvaccinated) at risk is very high… These studies also can fail to detect risks that affect a small subset of the population.
Study flaws: The Madsen 2002 study demonstrates one of the methodological limitations of epidemiological research, namely its inability to provide conclusive results concerning rare phenomena. The IOM 2011 report alludes to this limitation, noting that “…studies […] can fail to detect risks that affect a small subset of the population.”42 Although Madsen 2002 examined the health records of over half a million Danish children, the relevant group – children diagnosed with autism – was comprised of only 263 kids vaccinated with MMR and 53 that were not.[q3] Given such a small group of relevant subjects, the results are extremely sensitive to any errors or biases in data collection. Though the records of 537,303 subjects were inspected, the MMR status had to be incorrect for as few as 15 autistic children, a meager 0.003% of the study population, for the study results to be completely reversed. The fact that the results were so sensitive to such a small number of errors is a serious limitation that the authors seemed to be aware of and (partially) tried to address.
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Archive:
https://drive.google.com/open?id=1Yr4-bZH0ybUOZcp52BHoxzR_A1gjSSG6
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P 2:
We performed an extensive record review for 40 children with autistic disorder…
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Archive:
https://drive.google.com/open?id=1Yr4-bZH0ybUOZcp52BHoxzR_A1gjSSG6
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P 2:
We determined MMR-vaccination status on the basis of vaccination data reported to the National Board of Health by general practitioners, who administer all MMR vaccinations in Denmark.
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Archive:
https://drive.google.com/open?id=1Yr4-bZH0ybUOZcp52BHoxzR_A1gjSSG6
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P 5:
We assume that the data on MMR vaccination are almost complete, since general practitioners in Denmark are reimbursed only after reporting immunization data to the National Board of Health.
Of the myriad bits of information collected on the study subjects, there were two critical details that had to be correct in light of the discussion above: (a) whether the child was diagnosed with autism and (b) whether the child had received the MMR vaccine. In order to verify subjects’ autism classification, the researchers specifically examined a sample of the relevant registration files and concluded that they were reasonably accurate.43 However, when it came to the second important detail – whether or not children had received the MMR – the researchers didn’t do any additional verification of the data. The subjects’ MMR vaccination status was taken from a national database that received notifications from family physicians after vaccinating children at their clinics.44 Given the study question and context, underreporting of MMR vaccination would not be unreasonable. For example, a family doctor who vaccinated an infant with MMR at his clinic only to witness the child’s severe reaction could have chosen not to report the vaccination to the national database out of practical or emotional reasons. If the child were later diagnosed with autism, the missing MMR vaccination record would put the child in the unvaccinated autistic group, rather than the vaccinated autistic group. Rather than verifying their data, Madsen and colleagues noted that they “assume that the data on MMR vaccination are almost complete, since general practitioners in Denmark are reimbursed only after reporting immunization data to the National Board of Health.”45 But in a study with such a small number of relevant subjects, where inaccuracies for only a handful of children would make such a dramatic difference, why didn’t the researchers make the extra effort to verify the MMR vaccination status? And how could anyone say the results of the study provide “strong evidence” when they rely entirely on the authors’ assumption that the relevant data was correct?
The questions regarding the researchers’ objectivity, given their conflicts of interest and negligent handling of vaccination data, become even more pronounced when considering the statistical methodology they used to obtain their results.
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Archive:
https://drive.google.com/open?id=1Yr4-bZH0ybUOZcp52BHoxzR_A1gjSSG6
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Data obtained from Table 2
What stands out in the Madsen 2002 study, quite astoundingly, is that the raw data plainly contradict the study’s conclusion. The Danish data, presented in Table 2 of the paper, actually show a 45% higher risk of autism in MMR-vaccinated children, compared to the non-MMR-vaccinated. Suspiciously, after the researchers manipulated the data, the trend was reversed to indicate an 8% lower risk of autism in the MMR-vaccinated children.46 To repeat, while the raw data imply a higher risk of autism among MMR-vaccinated children, the study’s final results indicate the opposite.
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Archive:
https://drive.google.com/open?id=1Yr4-bZH0ybUOZcp52BHoxzR_A1gjSSG6
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P 3:
We calculated the relative risk with adjustment for age, calendar period, sex, birth weight, gestational age, mother’s education, and socioeconomic status.
How did the Madsen 2002 authors end up with a slightly reduced autism risk in MMR-vaccinated children, when the raw numbers showed a substantially increased risk? The answer is “adjustments”. The researchers statistically “adjusted”, i.e. manipulated, the raw data based on children’s characteristics such as age, gender, birth weight, and socioeconomic status.47 What were the exact calculations applied in these statistical adjustments, and why were they needed? The authors provide no answers.
Omitting a detailed account of statistical “adjustments” from a published paper is not unusual in and of itself. Such details are rarely included in a published paper due to lack of space and readership interest. However, Madsen 2002 is different because the adjustments made to the raw data reversed the study outcome. Under such circumstances, it is appropriate, even imperative, for the authors to provide a reasoned and detailed explanation of their “adjustments” and to justify the reversal in their conclusion. But not only was no explanation provided, the authors also failed to mention that their adjustments reversed the conclusion that could be drawn from the raw data.
Summary: World-leading health organizations consider the 2002 Madsen study “strong” evidence of the absence of a link between the MMR and autism. The study was funded by the CDC, a staunch denier of the vaccine–autism link, which is hardly surprising given its role as the US’s primary vaccine marketer and defender. All authors save one, herself a CDC employee, belonged to a Danish research group that was established and heavily funded by the CDC and headed by a man who is now a fugitive wanted for fraud. Although the authors boasted that their study included more than half a million children, they did not bother to verify the single piece of information most crucial to the study’s validity – the MMR vaccination status of the autistic kids. This raises serious questions concerning the accuracy of the data as well as the researchers’ ethics. Even worse, it turns out that the study’s raw data actually indicated an increased risk of autism for children who had received the MMR, but the researchers managed to reverse this undesired association by performing undisclosed statistical manipulations.
http://www.jpeds.com/article/S0022-3476(13)00144-3
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Archive:
https://drive.google.com/open?id=1LVEHpSumks-XGbdd7DujwX2hDOP4ltVl
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PMID: 23545349
Lead Author/Year: Frank DeStefano, 2013
Journal: The Journal Of Pediatrics
DeStefano 2013: Vaccine Antigens and Autism
Paper name: “Increasing Exposure to Antibody-Stimulating Proteins and Polysaccharides in Vaccines Is Not Associated with Risk of Autism”48
Journal and publication year: The Journal of Pediatrics, 2013
Lead author: Frank DeStefano
Type of study: Retrospective case-control study
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Archive:
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Study Title P 1:
Increasing Exposure to Antibody-Stimulating Proteins and Polysaccharides in Vaccines Is Not Associated with Risk of Autism
Short description: A case-control study that compared the cumulative number of antigens in vaccines given to 256 autistic children with those received by 752 non-autistic children. The study found that the amount of vaccine antigens to which children were exposed in both groups was almost identical and concluded that increasing exposure to vaccine antigens was not associated with higher autism risk.49
DeStefano 2013 is a classic example of a vaccine safety “spin study”, that is, a deliberately biased institutional study designed to provide a seemingly scientific answer to a popular vaccine criticism. In this instance, the argument, often brought up in vaccine online debates, was that infants receive too many vaccines and that their cumulative effect had never been properly studied. The paper’s publication was accompanied by a media campaign. The news media reporting on the study, assisted by the lead author, went out of their way to imply that science had thoroughly examined the above argument and found it to be false.
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P 1
No link between vaccines and autism
https://www.ncbi.nlm.nih.gov/pubmed/17928818
No link between Type 1 diabetes and vaccines of the childhood program
https://www.ncbi.nlm.nih.gov/pubmed/11731639
No link between vaccines and asthma
https://www.ncbi.nlm.nih.gov/pubmed/12182372
No link between thimerosal in vaccines and neurological disabilities
https://www.ncbi.nlm.nih.gov/pubmed/14595043
Influenza and H1N1 vaccines are safe
https://www.ncbi.nlm.nih.gov/pubmed/21767718
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P 1
Conflicts of interest: The study was funded by the CDC.50 Two of the three authors were CDC employees. The lead author, Frank DeStefano, is a veteran employee and senior CDC manager who had previously published several vaccine safety studies, all of which, unsurprisingly, found that vaccines are indeed safe.51 While working on this study, DeStefano headed the CDC Immunization Safety Office, and he still holds this position as of this writing.52 Given that any scientific finding disputing the safety of vaccines would hit the CDC’s Immunization Safety Office first, it is hard to think of a government official more likely to be conflicted with respect to vaccine safety than Frank DeStefano. If it ever became scientifically confirmed that vaccines did cause autism, public outrage, directed first and foremost towards the CDC and its Immunization Safety Office, would be enormous. But even though DeStefano and the agency he works for have the most to lose from studies criticizing vaccine safety, and even though both have been assuring the public for decades that “vaccines are safe”, DeStefano disingenuously declares in the paper that he has “no conflicts of interest”.53
Date: Mar 29, 2013
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Website: NBC
http://vitals.nbcnews.com/_news/2013/03/29/17516929-new-study-finds-no-link-between-too-many-vaccines-and-autism
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Archive:
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Date: Mar 29, 2013
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Website: NBC
http://vitals.nbcnews.com/_news/2013/03/29/17516929-new-study-finds-no-link-between-too-many-vaccines-and-autism
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Archive:
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“This study looked into the concern that receiving too many vaccines at one doctor’s visit or too many vaccines during the first two years of life may be linked to the development of autism,” the report’s lead author, Dr. Frank DeStefano told NBC chief medical editor Dr. Nancy Snyderman. “We found they’re not related.”
DeStefano hopes the new research will convince parents that it’s safe to follow CDC vaccination schedules.
[…]
“The number of vaccines in the current immunization schedule is what’s needed to protect children,” he said. “It’s not too many for a child’s immune system.”
Media and establishment response: As soon as it was published, DeStefano 2013 received widespread exposure in the US media. News stories that appeared simultaneously in various media outlets were all beating the same drum: The new CDC study unequivocally refutes the parental concern that too many vaccines may cause autism. For example, the headline of the story that appeared on the NBC website read: “New study finds no link between ‘too many vaccines’ and autism.”54 In the article, DeStefano himself was quoted as saying: “This study looked into the concern that receiving too many vaccines at one doctor’s visit or too many vaccines during the first two years of life may be linked to the development of autism. We found they’re not related.” The article also noted that DeStefano expressed hope that the new study would convince parents that there are no safety issues with the CDC’s vaccine program and they should vaccinate according to the official schedule. “The number of vaccines in the current immunization schedule is what’s needed to protect children,” he concluded. “It’s not too many for a child’s immune system.”55 (The emphasis on the word vaccines above does not appear in the original piece. See explanation below).
Date: Mar 29, 2013
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Website: Forbes
http://www.forbes.com/sites/emilywillingham/2013/03/29/vaccines-not-linked-to-autism-again/#5b452ca95166
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Article Name: Multiple Vaccines Not Linked To Autism Risk
Date: Mar 30, 2013
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Website: Medical News Today
http://www.medicalnewstoday.com/articles/258414.php
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Article Name: Number Of Early Childhood Vaccines Not Linked To Autism
Date: Mar 29, 2013
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Website: NPR
http://www.npr.org/sections/health-shots/2013/03/29/175626824/the-number-of-early-childhood-vaccines-not-linked-to-autism
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Article Name: No link found between autism and number of vaccines
Date: Mar 29, 2013
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Website: CBS News
http://www.cbsnews.com/news/no-link-found-between-autism-and-number-of-vaccines/
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Article Name: Multiple Vaccinations on Same Day Does Not Raise Autism Risk
Date: Mar 29, 2013
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Website: Time Magazine
http://healthland.time.com/2013/03/29/multiple-vaccinations-on-same-day-does-not-raise-autism-risk/
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Archive:
http://archive.is/eB8AB
Similar stories appeared in other mainstream media websites such as Forbes, TIME Magazine, National Public Radio (NPR), Medical News Today, and CBS.56 All of the articles repeated the message that the study found no link between the multitude of child vaccines and autism, and that it provided further proof that vaccines are safe. All expressed a similar expectation that the publication of this study would ease parents’ concerns and lead them to resume vaccinating their children according to official recommendations. No outlet expressed any criticism of or even shred of doubt about the study, the vaccine program, or the CDC’s vaccine policy. The conflicts of interest of the main author and the funding agency were never mentioned.
And, of course, there wasn’t a single word about the awkward fact that the study didn’t actually investigate the question the media claimed it had definitively answered: Could “too many vaccines” be causing autism?
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For example, P 2:
we evaluated the associations between the total cumulative exposure to antibody stimulating proteins and polysaccharides from childhood vaccinations and... ASD outcomes
or P 7:
however, we found no association between exposure to antigens from vaccines during infancy and the development of ASD with regression.
Study flaws: The emphasis on the word vaccines in the above quotations from NBC is meant to highlight the deliberate deception perpetrated by the study authors and their media collaborators. The reality is that DeStefano 2013 did not explore whether “too many vaccines” could lead to autism, but rather the supposed effect of “multiple antigens” on the development of autism (and its results are meaningless anyway, as shall be explained later). The paper’s title, as well as many other references in the text, explicitly states that it is the number of vaccine antigens that was examined,[r3] not the number of vaccines.57 The distinction between the two is important: The antigen, typically composed of fragments of bacteria or virus, is arguably the principal component of a vaccine, as it is the one that triggers an immune response intended to provide future protection from disease. However, the antigen is just one of numerous substances inside a vaccine vial. Vaccines typically contain a host of other ingredients that serve various functions, such as preservatives, stabilizers, adjuvants, and more. Some of these ingredients are known to be highly toxic (aluminum, mercury) or carcinogenic (formaldehyde). The adverse biological effects this conglomeration of biological and chemical ingredients could potentially have on an infant’s body have never been studied in depth, not individually and not in combination.
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P 1
A recent survey found that parents’ top vaccine-related concerns included administration of too many vaccines during the first 2 years of life, administration of too many vaccines in a single doctor visit, and a possible link between vaccines and learning disabilities, such as autism.
Thus, parents’ concerns do not focus specifically on the potential adverse effects of antigens, but rather on the full range of vaccine ingredients, including those known to be toxic or carcinogenic and those whose effect on an infant’s body has not been sufficiently studied. They worry that the growing number of vaccines recommended by the CDC exposes infants to a medley of foreign substances that could harm them. The antigen is but one of these substances, and not necessarily the most harmful.[s3] Although DeStefano and coauthors seem well aware of this – stating that “a recent survey found that parents’ top vaccine-related concerns included administration of too many vaccines during the first 2 years of life”58 – they nevertheless chose to investigate the association between the total amount of vaccine antigens and autism, rather than try to address the issue that is really concerning parents: the potential consequences of too many childhood vaccines. Why didn’t the authors address the link between the number of vaccines and autism and thus provide a direct response to the real parental concern? This question was never answered in the paper or in subsequent media interviews.
Putting aside the inappropriateness of the research topic chosen by government officials whose primary role is to oversee the safety of vaccines, an even more troubling aspect of DeStefano 2013 was the sly manner in which the media spun it. Though the link between vaccines and autism was never really explored by the researchers, the media, assisted by an eager DeStefano, was quick to oversell the study results as putting parental concerns to rest. As shown above, media headlines echoed the same counterfeit message, proclaiming that the study found “no link between the number of vaccines and autism.” Moreover, DeStefano, who as lead author surely knew better than anyone what the study was really about, shamelessly repeated this false narrative in some of the news stories.
We have established, then, that DeStefano 2013 did not investigate, or even attempt to investigate, the question attributed to it by the media and its lead author. Instead of exploring the link between “too many” vaccines and autism, as publicly stated, it really looked into a potential link between the number of antigens and autism. But what did the study really examine and what did it actually “prove”?
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P 1:
Using the number of antibody-stimulating proteins and polysaccharides contained in vaccines as a measure, we evaluated the association between the level of immunologic stimulation received from vaccines during the first 2 years of life and the risk of developing an autism spectrum disorder (ASD), including specific ASD subtypes.
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P 2, Table 1
The researchers propose the total number of antigens in vaccines as a measure of the overall level of immune system stimulation, or immune system response, triggered by vaccination.59 The validity of this proposition requires evidence in its own right, but the paper presents none. Moreover, its lack of validity becomes apparent when we look at how the cumulative loads were calculated: The researchers multiplied the number of antigens in each vaccine dose by the number of doses each child received for each vaccine administered in the first two years of life. This simplistic and crude calculation, which seems to have been invented specifically for the purpose of this study, is based on the unfounded and highly improbable assumption that disease antigens in different vaccines evoke equivalent immune responses. For example, according to the paper, the DTP vaccine with its 3,000 antigens presumably evokes an immune response 3,000 times greater than that of the hepatitis B vaccine, which contains just a single antigen.60
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P 4:
Admittedly, this approach assumes that all proteins and polysaccharides in a vaccine evoke equivalent immune responses, whereas some proteins actually may be more likely than others to stimulate an immune response. Moreover, the calculations do not take into account the number of epitopes per antigen or the immunologic strength of each epitope.
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P 4:
Nonetheless, we believe that our estimates provide a valid relative ranking of the antigen content of vaccines.
In fact, the researchers are well aware that merely adding up the number of antigens in vaccines as a measure of immune response is nonsensical, and they point out some of its weaknesses, stating that “admittedly, this approach assumes that all [antigens] in a vaccine evoke equivalent immune responses,” and “moreover, the calculations do not take into account the number of epitopes per antigen or the immunologic strength of each epitope.”61 Despite the improbability of their assumption and its lack of scientific support, the researchers note that they “think” that their method provides a good estimate of the antigenic load of vaccines and proceed to examine its supposed effect on autism development.62
Another glaring weakness of this “antigen counting” calculation, which the authors neglect to mention, is the role played by vaccine adjuvants. In some inactivated vaccines, the bacterial or viral materials that serve as antigens cannot, by themselves, elicit a sufficient immune response to prevent disease. In these vaccines, a substance called an “adjuvant” is usually added to the mix. The adjuvant stimulates the immune system so it responds to the antigen more intensely and for a longer period of time. Adjuvants can also be used to reduce the quantity of antigens required in some vaccines. Thus, the intensity of immune response to adjuvant-containing vaccines is largely dependent on the adjuvant used – its mode of action and its quantity – and less on the antigen itself. Therefore, in order to assess the strength of the immune response elicited by vaccines, whatever that actually means, one must include the adjuvant in the calculation in one way or another. Similarly, it is not unreasonable to assume that other vaccine ingredients may also affect the level of antigenic stimulation induced by the vaccine. Yet, despite the key role adjuvants play in the strength of immune response to vaccines, they are not even mentioned in the paper.
One might conclude, then, that the DeStefano 2013 study failed twice: Not only did it fail to investigate the real parental concern, the link between “too many vaccines” and autism, but also the question it did look into – vaccine antigenic load and its association with autism – was so simplistically and poorly studied its results are scientifically worthless.
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P 4:
The immunization schedule in effect during the years in which our study children were vaccinated included some, such as diphtheria, tetanus, and whole-cell pertussis, that were cruder and more antigenic than current vaccines, and also caused more side effects. Removal of whole-cell pertussis vaccine from the childhood vaccination schedule has substantially decreased the antigenic load from vaccines.
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P 2, Table 1
One last point worth making regarding DeStefano 2013 is this: Even if we ignore the study’s glaring flaws, what did it actually find? The difference in the number of vaccine antigens to which the study subjects were exposed is largely due to the fact that the diphtheria-tetanus-pertussis (DTP) whole-cell vaccine was replaced with the newer acellular vaccine (DTaP) during the study period.63 The older whole-cell vaccine contained over 3,000 antigens per vaccine dose, while the newer acellular vaccine contains only 4-6 antigens per dose.64 This is the main reason behind the large differences in the cumulative number of antigens to which study subjects were exposed, as all of them, it seems, were vaccinated with one of these two vaccines.[t3] That is, if there were an insight to be gained from the study results (ignoring its salient flaws) it would be this: The risk for autism did not significantly change for children vaccinated according to the recommended schedule after the DTaP vaccine replaced its DTP predecessor. Naturally, since the study population was quite small, this conclusion must be taken with a grain of salt.[u3]
Summary: DeStefano 2013 is a classic example of a vaccine safety “spin study”. It was never intended to advance scientific knowledge but rather to be a battering ram for vaccine proponents to counter a specific claim often made by parents questioning the safety of vaccines. The study supposedly answered the parental concern that the large number of vaccines their children were receiving might have a negative impact on their health, and, specifically, might lead to autism. Yet the study didn’t investigate this hypothesis at all. Instead, the researchers chose to study the supposed effect of the total number of antigens in vaccines on autism development, using a dubious and scientifically baseless calculation. After reaching the desired result, the authors collaborated with the media to promote a false narrative to the public. Media news stories unanimously affirmed that DeStefano 2013 disproved the suggested link between “too many vaccines” and autism, though such a link was never even investigated.
Date: Mar 17, 2018
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Website: Davidson institute, Educational arm of Weizmann Institute for Science, Rehovot, Israel
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(Translated from Hebrew) A 2013 study [DeStefano 2013] looked at another question – is there an association between the number of anigens and the risk for autism […] Like many other studies done since, this 2013 study also concluded there is none.
The study was funded by the CDC and two of its three authors were CDC employees, including the lead author who was the head of the center’s Immunization Safety Office. This raises serious questions as to the ethical conduct of the governmental agency entrusted with vaccine safety. It is equally concerning that such a glaringly flawed study hasn’t drawn so much as a smidgen of criticism in medical and scientific circles.65
http://onlinelibrary.wiley.com/doi/10.1111/joim.12155/pdf
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PMID: 24206418
Lead Author/Year: L. Grimaldi-Bensouda, 2014
Journal: Journal of Internal Medicine
Grimaldi 2014: Gardasil and Autoimmune Injury
Paper name: “Autoimmune Disorders and Quadrivalent Human Papillomavirus Vaccination of Young Female Subjects”66
Journal and publication year: Journal of Internal Medicine, 2014
Lead author: Lamiae Grimaldi-Bensouda
Type of study: Retrospective case-control study
Short description: The study examined whether vaccination with the human papillomavirus (HPV) vaccine Gardasil is a risk factor for subsequent development of autoimmune diseases in girls and young women. The researchers compared the vaccination rate in a group of girls and young women with autoimmune diseases to the respective rate in a control group they selected. The rate of vaccination with Gardasil in both groups was similar, which led the researchers to conclude that the vaccine does not increase the risk of autoimmune diseases examined in the study.
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P 9:
Funding
funded by an unrestricted grant from Sanofi Pasteur MSD
http://www.msd.com/about/featured-stories/spmsd/index.html
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Archive:
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P 9:
Funding
The Scientific Committee for the study received honoraria from Sanofi Pasteur MSD
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P 8:
Conflict of interest statement
Conflict of interest: A cursory glance at Grimaldi 2014 seems to indicate it is a standard academic study in the field of vaccines; most of its authors are either medical doctors or academics. However, the “Conflicts of interest” and “Funding” sections of the paper tell a different story. The study was funded by Sanofi Pasteur MSD,67 a French company jointly owned by the pharmaceutical giants and vaccine manufacturers Sanofi Pasteur and Merck (known in Europe as MSD). The joint company is responsible for production and marketing of vaccines in Europe, including the Gardasil vaccine.68 In addition to providing research funding, the company also paid the members of the scientific committee overseeing the study.69 Furthermore, about half of the study authors had previously received grants and payments from numerous pharmaceutical companies, including the vaccine manufacturers Novartis, GSK, Merck, and Sanofi Pasteur.70
These excerpts were copied from the company's website, when it was still online.
5 of the top 8 major pharma manufacturers and 15 mid-size companies and biotechs already use PGRx
http://www.la-ser.com/services-2/data-solutions/
We provide cutting edge outcomes research designed to demonstrate the benefit to patients that products and health technologies provide.
http://www.la-ser.com/services-2/real-world-evidence/
Founded by one of the world’s pioneers and leaders in pharmacoepidemiology and public health, Professor Lucien Abenhaim, who directed the famous McGill Pharmacoepidemiology Education Program for several years, LASER ANALYTICA offers unique consulting capabilities in these domains.
http://www.la-ser.com/services-2/real-world-evidence/
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A news story about LA-SER acquiring Analytica:
http://myemail.constantcontact.com/LA-SER-Group-Grows-Worldwide-Healthcare-Economics-Consulting-Capabilities.html?soid=1102157698477&aid=K05zKxx4Z4c
Archive:
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A news story about LA-SER being acquired by Certara:
https://www.certara.com/pressreleases/certara-acquires-analytica-laser-a-leader-in-market-access-health-economics-and-outcomes-research-heor-and-real-world-evidence-solutions/
Archive:
http://archive.is/TtBdC
Such a long and varied list of conflicts of interest typically raises questions about the researchers’ motives and their ability to be objective. However, in the case of Grimaldi 2014, the reality is even grimmer than usual. The paper’s “fine print” reveals that the study was actually conducted by a private company called LA-SER, and that its lead researcher (Grimaldi-Bensouda) and two other researchers (Rossignol and Abenhaim) were company employees (Abenhaim is also the company’s manager). LA-SER provides services and consulting to the pharmaceutical industry. Its website boasts that five of the world’s eighth largest pharmaceutical companies are clients. The company specializes in pharmacoepidemiology, the epidemiology of pharmaceutical products, and one of the services it provides is “cutting edge outcomes research designed to demonstrate the benefit to patients that products and health technologies provide.” In other words, the company sells epidemiological studies that make its clients’ products look good. As part of the service it provides, the company handles all aspects of epidemiological research, from designing studies to writing them up and submitting them for publication.71
It turns out, then, that the seemingly innocent academic study exploring the link between Gardasil and autoimmune diseases was actually commissioned and sponsored by the vaccine’s manufacturer and performed by a private company that specializes in delivering favorable epidemiological studies to its clients.
https://www.cdc.gov/mmwr/pdf/rr/rr6305.pdf
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Author/Year: CDC, 2014
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P 28 (30)
https://www.cdc.gov/vaccinesafety/pdf/data-summary-hpv-gardasil-vaccine-is-safe.pdf
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Author/Year: CDC, 2016
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P 2
Media and establishment response: Unlike the previous two studies, Grimaldi 2014 did not receive much media attention. However, it did find its way into CDC publications. A weekly CDC report refers to the study as evidence of Gardasil’s safety.72 Another official document, a parent information leaflet recommending the vaccine published by the CDC and the American Academy of Pediatrics (AAP), also refers to Grimaldi 2014, among other studies.73 Needless to say, these publications do not bother to mention that the study was ordered by the vaccine manufacturer and delivered by a private company that promises to make friendly pharma companies’ products look better.
In addition to CDC publications, Grimaldi 2014 has been frequently cited in the medical literature since it was published. The paper is currently referenced by no less than 99 different medical publications.74
Study flaws: Grimaldi 2014 is a retrospective observational study of the case-control type. In a case-control study, the researchers select a “case” group that includes subjects with a specific medical condition (e.g., men in their 50s who have lung cancer or girls with autoimmune disease), and a control group made up of subjects without the condition. Every subject in the case group is matched with one or more subjects from the control group, who have similar personal characteristics (age, gender, place of residence, etc.). The researchers then check the exposure of both groups to the factor under investigation (such as cigarette smoke or Gardasil vaccination). If the data indicate that the case group was significantly more exposed to that particular factor than the control group, this adds weight to the assertion that the factor is indeed a cause of the relevant medical condition. Thus, if the case group of men in their 50s with lung cancer had a much higher exposure to cigarette smoke than the healthy control group, this would indicate that cigarette smoke could well be a cause of lung cancer.
The obvious weakness of a retrospective case-control study is that it is fairly easy to skew its results by deliberately selecting control group members. For example, if the researchers wish to conclude that Gardasil does not lead to autoimmune disease, they can simply assign a high proportion of vaccinated women with no such disease to the control group. In this way, the condition investigated (autoimmune disease) would appear to not be affected by the factor considered (vaccination with Gardasil), as both case and control groups are highly vaccinated, though they differ in their autoimmune disease status. Such a research maneuver is not difficult to accomplish since a case-control study’s control group typically includes no more than a few hundred subjects usually drawn from a repository of tens or hundreds of thousands of individuals.[v3] Because the researchers had full access to the data on the group with autoimmune diseases (the cases), they already knew the group’s Gardasil vaccination rate. Hence, they could easily have assembled a control group with a vaccination rate that matched or surpassed this number, while publicly declaring they had made a random selection.
Evidently, a case-control study is particularly prone to selection bias. By carefully selecting case and control groups, one can quite easily control the study’s outcome. But did the researchers do that for Grimaldi 2014? Can we find evidence of a deliberately biased selection of subjects in their paper?
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P 9:
LA-SER, an independent research organisation that owns and develops the PGRx.database.
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P 3
Human papillomavirus vaccination history was assessed using prescription records received from cases and referents, as well as directly from GPs and during the telephone interviews. In addition, the researchers obtained the vaccination status of subjects with whom a telephone connecion wasn't made, which indicate they had another source for the information (see note to Fig 1, P 6)
Data for both cases and controls in Grimaldi 2014 were obtained from a private medical database owned by the same company that conducted the study (LA-SER).75 The case group consisted of girls and young women with autoimmune disease, and for each case four female subjects with similar characteristics (age, place of residence, etc.) were allocated to the control group. That is, the control group subjects were also selected from the same medical repository as the cases, one that is not necessarily representative of the entire population. According to the researchers, the controls were selected randomly. However, we have only their word as proof, as research conduct in general, and specifically for this study, is not supervised by any official body. In addition, the Gardasil vaccination status of study subjects – most of them, at least – was available to the researchers.76
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P 3:
For each AD case, only referents with no history of that particular type of AD were selected as potential controls.
Because the case group consisted of subjects with autoimmune diseases, the control group should have been made up of healthy subjects, or, at least, those who did not have autoimmune disease. Then, according to the case-control study methodology, the Gardasil vaccination rate of both groups should have been compared in order to determine whether the data supported the hypothesis that Gardasil vaccination was a risk factor for autoimmune disease. However, Grimaldi 2014 did not follow the standard case-control study design. Instead, the controls the researchers selected for each case were acceptable as long as they did not suffer from the same autoimmune disease as their matching case.77 For example, a (case) girl with lupus could have been matched with four (control) girls with any other autoimmune disease but lupus (such as type 1 diabetes, for instance). This is comparable to doing a case-control study that explores the association between smoking and cancer by comparing a case group consisting of patients with lung, laryngeal, or pancreatic cancer (smoking is a risk factor for all three) with controls who could have any of these three diseases as long as it isn’t the same as their matching case. Naturally, such a study would not find a significant difference in the percentage of smokers between the two groups and could thus conclude that smoking isn’t a risk factor for cancer.
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P 4, Table 1
The $64,000 question, then, is what was the health profile of Grimaldi 2014’s control group subjects? Were they a group of generally healthy girls and young women, as appropriate for this particular study, or was this group selected precisely because of its high incidence of autoimmune disease? One cannot find a straightforward answer to this essential question in the paper, since the researchers, oddly enough, do not tell us how many control subjects suffered from autoimmune disease.[w3] However, the paper’s Table 1 reveals valuable clues for solving the mystery:78 (a) It is noted that 72.5% of cases took seven or more medications during the two years preceding the diagnosis of their disease. This figure seems reasonable for girls suffering from medical conditions later diagnosed as autoimmune disease. Surprisingly, an almost identical rate of 72.9% of control group subjects were taking seven or more medications in the same time frame. (b) About 15% of controls had “at least one chronic comorbidity.” The notes for the table list these comorbidities as diabetes, Crohn’s disease, ulcerative colitis, cancer, epilepsy, multiple sclerosis, and more. The comorbidity rate in the control group was even higher than the case group’s 12.6%. Moreover, the exact meaning and significance of the phrase “at least one chronic comorbidity” is difficult to decipher. We know that study cases were selected because they had autoimmune disease, so 12% of them having another chronic disease seems plausible. But what does “chronic comorbidity” mean for controls? This vague wording seems to mean that the control group subjects were just as sick with autoimmune disease as their case counterparts, in addition to having slightly more frequent comorbidities.
The glaring omission of essential information about autoimmune conditions in control group subjects, as well as the clues indicating that the controls were quite sick, make it appear as if the researchers purposely biased their control selections. The trick, it seems, was to assign controls who were at least as sick as their matching cases, just with different diseases. If that’s the case, considering that the Gardasil vaccination rate was slightly higher in the control group, it seems that the study’s raw data indicate that Gardasil probably is a risk factor for autoimmune disease. But the authors, delivering on their employer’s promise to make customers’ products look good, masterfully buried this result under heaping piles of deceptive statistics.
Summary: Grimaldi 2014 is a vaccine safety study commissioned and sponsored by the vaccine’s manufacturer and marketer and conducted by a private company that specializes in delivering studies that underscore the benefits of customer products. In light of the above, it is likely that the study outcome was agreed upon by the parties before work began, as both shared a common business interest to present Gardasil in a positive light. The researchers chose a convenient case-control design, which facilitates manipulation of the outcome by careful selection of controls. In the case of Grimaldi 2014, the researchers seem to have selected a control group as ill as the case group, or even slightly sicker. It’s no wonder that the Gardasil vaccination rate was similar in both groups.
To be sure, neither company’s conduct deviates from standard business practices and norms: One company pays for a service, and the other provides it. However, this method of operation is not, and should not be, considered ethical in the realm of medical research. A private company manufacturing tainted scientific research promoting its customers’ medical products does not advance scientific knowledge, but in fact hinders it. That a “cooked” study such as this one was published by a respected medical journal and is widely cited in the scientific literature, as well as in publications of leading health agencies, is deeply disturbing. This signifies an acute failure in the way medical science, and vaccine science in particular, is managed, conducted, and publicized.
http://ajph.aphapublications.org/doi/pdf/10.2105/AJPH.94.6.985
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Archive:
https://drive.google.com/open?id=13b5r3JluMRXKcXVsouZfPpCDPsnDqkqI
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PMID: 15249303
Lead Author/Year: Tricia M. McKeever, 2004
Journal: American Journal of Public Health
McKeever 2004: Vaccines and Allergic Disease
Paper name: “Vaccination and Allergic Disease: A Birth Cohort Study”79
Journal and publication year: American Journal of Public Health, 2004
Lead author: Tricia M. McKeever
Type of study: Retrospective observational cohort study
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Archive:
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P 1:
Our data suggest that currently recommended routine vaccinations are not a risk factor for asthma or eczema.
Short description: McKeever 2004 examined the association between the administration of DPPT[x3] and MMR vaccines and the development of asthma and eczema in British children. The researchers examined the records of nearly 30,000 children between 1988 and 1999 and found that children vaccinated with DPPT were 14 times more likely to be diagnosed with asthma and 9 times more likely to be diagnosed with eczema than children who had not received that specific vaccine. Children vaccinated with MMR were 3.5 times more likely to be diagnosed with asthma and 4.5 times more likely to be diagnosed with eczema than children who were not MMR-vaccinated. The researchers dismissed these findings, however, on the pretext that “this association was present only among children with the fewest physician visits and can be explained by this factor” and concluded that “our data suggest that currently recommended routine vaccinations are not a risk factor for asthma or eczema.”80
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Website: University of Nottingham
https://www.nottingham.ac.uk/medicine/people/tricia.mckeever
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Archive:
http://archive.is/Hhsw2
Conflicts of interest: Cannot be determined since the paper does not contain “Conflicts of Interest” or “Funding” sections.81
Media and establishment response: The study did not receive any media coverage and does not seem to be referenced by publications of official health bodies. This is not surprising, given the high correlations between vaccines and allergic disease that the study revealed.
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Archive:
https://drive.google.com/open?id=1dSrBeFU_P-ZKrSaMwoaow6Pc9rst9isY
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P 1:
An unexplained increase in the prevalence of allergic disease has occurred in the developed world in the past few decades. During the same period, there has been an increase in mass immunization, leading to the hypothesis that certain vaccines may increase the risk of allergic disease.
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Archive:
https://drive.google.com/open?id=1dSrBeFU_P-ZKrSaMwoaow6Pc9rst9isY
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P 1:
It is clearly important to gain a detailed understanding of the relationship between vaccination and allergic disease, because a perception that vaccination is harmful may have an adverse impact on the effectiveness of immunization programs.
Study flaws: In the paper’s first paragraph, the authors describe their motive for conducting this specific study: “An unexplained increase in the prevalence of allergic disease has occurred in the developed world in the past few decades. During the same period, there has been an increase in mass immunization, leading to the hypothesis that certain vaccines may increase the risk of allergic disease.”82 And what is the authors’ position on this hypothesis? Are they willing to objectively examine the data, or are they prejudiced in favor of some preexisting outcome? One need only read to the end of the paragraph to find the answer. The association between vaccines and allergies must be studied, the authors write, “because a perception that vaccination is harmful may have an adverse impact on the effectiveness of immunization programs.”83 This sentence reveals that an outcome linking vaccines to allergic disease would be unwelcome to the authors, since it would negatively affect public support for vaccination. Is this predisposition the reason behind the authors outright dismissal of the strong correlation found in the study between the two vaccines and asthma and eczema morbidity?
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Archive:
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P 2:
Children who are not taken to the doctor are less likely to be vaccinated and also have less of an opportunity to have a diagnosis of allergic disease recorded.
As mentioned above, children who were vaccinated with MMR or DPPT vaccines were diagnosed with asthma and eczema at rates 3.5 to 14 times higher than children who were not vaccinated with these vaccines. This unequivocal finding should have led the researchers to conclude that the data strongly suggest a link between vaccines and allergies. Instead, they explain away this link, claiming it does not really exist but is rather an artifact of bias in the data. The statistical correlation, they say, was particularly strong for children, vaccinated and unvaccinated, who visited their family doctor no more than three times in the first six months of life. That correlation was much lower for children who had visited their doctor more often as infants. Children who rarely see a family physician tend to be less vaccinated, the researchers explain, and are less likely to be diagnosed by their doctor as suffering from eczema or asthma.84 In other words, the authors suggest that the low rate of allergic disease in children who were not vaccinated is not genuine. These children, they imply, suffer from asthma and eczema as often as vaccinated children, but, because they visit their family doctor less often, most of them are not formally diagnosed.
McKeever and colleagues’ offhand dismissal of the robust correlations found in their study is most puzzling. First, if unvaccinated children who visit their family doctor less often have a significantly reduced chance of being diagnosed with allergies, why are vaccinated children who also visit their doctor less often diagnosed at a rate many times higher?
Second, the researchers assume a causal relationship between the number of visits to the doctor and the rate of diagnosis: The less a child visits the doctor, the less likely they are to receive a diagnosis of allergy. However, this arbitrary assumption, for which the paper presents no supporting evidence, seems to reverse the direction of the causal arrow: Common sense would suggest that children need fewer doctor visits… when they are healthy. Indeed, the causal relationship on which the authors base their argument could be turned on its head: Children with fewer allergies tend to see their doctor less often.
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Archive:
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P 1:
We identified children who were registered with their general practitioner (GP) (their primary care physician) within 3 months of birth and whose medical history contained at least 1 physician visit at any time
Third, is it reasonable to assume, as the researchers do, that children who were struggling to breathe or covered in oozing rashes would not be taken to a doctor? How were these kids treated for their condition without a doctor’s diagnosis? Or do the authors suggest that they were left untreated? (Keep in mind that all the children in the study visited their family doctor at least once during the first three months of life).85
None of these issues are addressed in McKeever 2004, which further underscores the arbitrariness of the authors’ utter dismissal of their own findings. In fact, the authors do not provide any additional information – data, evidence, or scientific reference – to substantiate their claim that the strong statistical correlations between vaccination and allergic disease is artificial and can legitimately be explained away as a data anomaly.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1449840/
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PMID: 15623850
Lead Author/Year: Eric L. Hurwitz, 2005
Journal: American Journal of Public Health
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Archive:
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P 4:
These data, together with other published evidence, suggest that current vaccination practices do not have an adverse effect on the incidence of allergic disease.
The researchers’ bias toward a finding of no association between vaccines and allergy is also reflected in the “Discussion” section of the paper, where they review previous studies on the topic (and manage to upset two researchers whose findings they misrepresented).86 Although they cite a number of studies that found a correlation between vaccines and allergies (along with some that did not), and although their own raw data provide strong support for this correlation, they bizarrely conclude with an emphatic and unequivocal denial of this link, stating that “current vaccination practices do not have an adverse effect on the incidence of allergic disease.”87
Summary: The McKeever 2004 study demonstrates how researchers whose work could potentially provide valuable clues to advance understanding of serious and unexplained medical conditions – the soaring allergy rate, in this case – are quick to dismiss obvious conclusions if they are harmful to vaccines’ reputation. According to The Pure Science Myth, scientists examine data with absolute objectivity, not allowing their preconceptions to influence their work. In stark contrast to this ideal, McKeever 2004 affirm their commitment to preserving the public image of the vaccine program in advance, and then proceed to arbitrarily dismiss findings which indicate strong correlations between the studied vaccines and allergies.
This study’s main contribution to science, then, is that it demonstrates the staggering ease with which findings that are unfavorable to vaccine dogma can be discarded. It seems that scientists who opt to contravene the fundamental principles of science and blatantly distort the conclusions of their own research will not face any adverse professional consequences, provided that their actions, scientifically unethical as they may be, lend support to the vaccination program.
http://pediatrics.aappublications.org/content/118/1/e139
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Archive:
https://drive.google.com/open?id=1lBvQzmoUd1U2XQk7vJR7fnwvS_XJPxMd
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PMID: 16818529
Lead Author/Year: Eric Fombonne, 2006
Journal: Pediatrics
Fombonne 2006: MMR Vaccine and Autism
Paper name: “Pervasive Developmental Disorders in Montreal, Quebec, Canada: Prevalence and Links with Immunizations”88
Journal and publication year: Pediatrics, 2006
Lead author: Eric Fombonne
Type of study: Ecological retrospective observational study
Short description: Fombonne and colleagues examined medical data of children, born between 1987 and 1998, who attended English-speaking schools in Montreal, Canada.[y3] The researchers compared the children’s yearly rate of autism to the MMR vaccine coverage rate and found that while the rate of autism was on the rise during the research period, the rate of MMR vaccination was trending slightly downwards. This led the researchers to conclude that the MMR vaccine is not a risk factor for autism.[z3]
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No evidence for a new variant of measles-mumps-rubella-induced autism.
http://www.ncbi.nlm.nih.gov/pubmed/11581466
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MMR vaccination and pervasive developmental disorders: a case-control study.
http://www.ncbi.nlm.nih.gov/pubmed/15364187
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Is there an epidemic of autism?
https://www.ncbi.nlm.nih.gov/pubmed/11158478
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Epidemiology of pervasive developmental disorders.
https://www.ncbi.nlm.nih.gov/pubmed/19218885
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Thimerosal disappears but autism remains.
https://www.ncbi.nlm.nih.gov/pubmed/18180423
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Archive:
https://drive.google.com/open?id=1lBvQzmoUd1U2XQk7vJR7fnwvS_XJPxMd
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P 1:
In the United Kingdom, Dr Fombonne has provided advice on the epidemiology and clinical aspects of autism to scientists advising parents, to vaccine manufacturers, and to several government committees between 1998 and 2001. Since June 2004, Dr Fombonne has been an expert witness for vaccine manufacturers in US thimerosal litigation. None of his research has ever been funded by the industry.
Conflicts of interest: Eric Fombonne, the lead researcher, conducted a series of studies on autism and vaccines starting in the late 1990s, all of which provided support for the institutional stance that vaccines do not cause autism.89 Fombonne provided paid counseling to vaccine manufacturers and also appeared on their behalf as an expert witness in the Vaccine Injury Compensation Program, part of the US Court of Federal Claims (“Vaccine Court”).90
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Archive:
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P 11:
Children with autism and their younger unaffected siblings should be vaccinated. Unvaccinated children are at much higher risk of contracting measles and suffering from its sometimes severe or lethal complications.
Like the authors of McKeever 2004, the authors of Fombonne 2006 do not conceal their firm support of the vaccination program. In the discussion section of the paper they dispense with any semblance of objectivity, stating that “children with autism and their younger unaffected siblings should be vaccinated. Unvaccinated children are at much higher risk of contracting measles and suffering from its sometimes severe or lethal complications.”91
Date: July 5, 2006
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Website: MEDPAGE TODAY
http://www.medpagetoday.com/infectiousdisease/vaccines/3669
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Archive:
http://archive.is/NWRZ5
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As the mercury-containing preservative thimerosal was removed from vaccines, and as fewer children received the mumps-measles-rubella vaccine, the rates of autism and related disorders rose among Canadian school children.
In a study of nearly 28,000 children born between 1987 and 1998, the prevalence of pervasive developmental disorders was greater in those children vaccinated after the mercury-containing compound thimerosal was completely eliminated from vaccines in Canada, reported Eric Fombonne, M.D., of McGill University in Montreal, and colleagues.
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Article Name: Vaccines And Autism
Date: July 6, 2006
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Website: CBS
http://www.cbsnews.com/news/vaccines-and-autism/
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Archive:
http://archive.is/mPFH3
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New research from Canada may not end the debate about childhood vaccines and autism — but it offers more evidence that vaccines are not to blame for the dramatic rise in reported cases of the developmental disorder.
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Article Name: Study: Vaccines Don't Cause Autism
Date: July 6, 2006
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Website: WEBMD
http://www.webmd.com/children/vaccines/news/20060706/study-vaccines-dont-cause-autism
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Archive:
http://archive.is/4Dsbb
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New research from Canada may not end the debate about childhood vaccinesand autism, but it offers more evidence that vaccines are not to blame for the dramatic rise in reported cases of the developmental disorder.
The study examined outcomes among 28,000 children in Quebec, exposed to different dosages of the measles, mumps, rubella (MMR) vaccine[…]
Date: July 6, 2006
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Website: CBS
http://www.cbsnews.com/news/vaccines-and-autism/
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Archive:
http://archive.is/mPFH3
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Our study once again rules out MMR as a cause for autism.
Date: July 5, 2006
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Website: MEDPAGE TODAY
http://www.medpagetoday.com/infectiousdisease/vaccines/3669
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Archive:
http://archive.is/NWRZ5
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We hope this study will finally put to rest the pervasive belief linking vaccines with developmental diseases like autism.
Media and establishment response: The study was published in 2006 and was covered by news and medical websites, as well as the websites of various health organizations.92 Lead author Fombonne was interviewed for some of the news stories and issued statements that sweepingly denied any link between vaccines and autism, such as “our study once again rules out MMR as a cause for autism,”93 and “we hope this study will finally put to rest the pervasive belief linking vaccines with developmental diseases like autism.”94
https://ascpt.onlinelibrary.wiley.com/doi/abs/10.1038/sj.clpt.6100407
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Archive:
https://drive.google.com/open?id=1UcEA2dqSucbfzvLnwCEzvP5F16QRzaSi
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PMID: 17928818
Lead Author/Year: Frank DeStefano, 2007
Journal: Clinical Pharmacology and Therapeutics
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P 2:
Similarly, a study conducted in Montreal found that the birth cohort prevalence of pervasive developmental disorders, which include autism, increased from 1987 to 1998, whereas during the same time MMR vaccination coverage showed a statistically significant decrease.
http://www.nap.edu/catalog/13563/the-childhood-immunization-schedule-and-safety-stakeholder-concerns-scientific-evidence
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Archive:
https://drive.google.com/open?id=1no7T_Zx03ToHXlEMGix9miyZMhiRIVtW
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Author/Year: IOM, 2013
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P 86 (103):
The initial literature search identified 32 papers on the relationship between immunizations or vaccines and pervasive developmental disorder… each of the other four papers might help with a study of the schedule.
[…]
This was an ecological study, but the data were interpreted carefully and the differences in appropriate trends were noted
http://nationalacademies.org/hmd/reports/2011/adverse-effects-of-vaccines-evidence-and-causality.aspx
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Archive:
https://drive.google.com/open?id=1nl18cdV_y3TtQBzoCq0tSiuYmHF1_yYQ
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Author/Year: IOM, 2011
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P 145 (174):
[it was] not considered in the weight of epidemiologic evidence because they provided… an ecological comparison study lacking individual-level data.
In addition, the study is frequently cited in the scientific literature – 243 references by medical publications as of the time of writing.95 Interestingly, one of the references is in a review authored by none other than Frank DeStefano, head of the CDC’s Immunization Safety Office.96 The IOM 2013 report, which we will review in the next chapter, also mentions Fombonne 2006, stating that it is one of only four studies that might help to better understand the link between vaccines and autism. The authors of the report note that, while it is an ecological study, “the data was interpreted carefully”.97 However, the earlier IOM 2011 report, reviewed in chapter 2, actually dismissed Fombonne 2006 on the grounds that it was an ecological study “lacking individual-level data”.98
Study flaws: Fombonne 2006 contains so many faults, it would take at least a full book chapter to detail them all. Hence, the analysis below will focus on the most prominent and outrageous of them all: Fombonne and his co-authors made a severe methodological error and appear to have deliberately misrepresented the source of their data. In order to fully comprehend the statistical error, we will first examine a hypothetical epidemiological study:
Due to concerns raised by the public, American researchers investigated the association between smoking and lung cancer. They decided to examine the rates of smoking and lung cancer among the employees of a restaurant chain in the city of Philadelphia because relevant information for this chain was available and fitting for an epidemiological inquiry. The researchers found that the rate of lung cancer in the restaurant workers increased consistently and significantly between the years 1987–1998 and wanted to determine whether the rate of smoking also increased in parallel. To this end, they examined data from statewide smoking surveys conducted by the Pennsylvania Department of Health. These surveys indicated that, during the period in question, the smoking rate among Pennsylvania residents actually decreased slightly. In other words, while the rate of lung cancer among the employees of the restaurant chain in Philadelphia rose steadily during the period under review, the percentage of smokers in all of Pennsylvania actually decreased slightly. After analyzing their data, the researchers concluded that smoking does not cause lung cancer.
This conclusion may seem reasonable, but it isn’t really.
The percentage of smokers among employees of the Philadelphia restaurant chain has but a loose connection, if any, to the percentage of smokers in the entire state. This rate could have gone up or down or remained constant during the period under review, regardless of the statewide rate. In order for the study to have any scientific validity, the researchers obviously had to compare the percentage of smokers among the employees of that restaurant chain in Philadelphia with the occurrence of lung cancer in the exact same group of people.[a4]
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Archive:
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P 5:
For the 10 birth cohorts with available data, the average MMR uptake in Quebec was…
And P 7:
Vaccination uptake of MMR was high in Quebec, averaging 93.2% over the study years.
Strange as it may seem, the invalid research method described above is exactly the one used in the Fombonne 2006 study. Fombonne and coworkers found that the number of autistic children in the English-speaking school district in Montreal (1987-1998)[b4] consistently increased over time. This data was compared to the MMR vaccination rate – not among the autistic children they were actually studying, nor among the children registered in the English school district, and not even among the children of the entire city of Montreal. According to the paper, the autism rate in the English-speaking schools of Montreal was compared to the MMR vaccination rate of children residing in the Canadian province of Quebec (where Montreal is located).99 But as in the hypothetical Philadelphia, so in real-life Montreal: It makes no sense to assume that the vaccination rate obtained from a survey of the entire child population of Quebec province[c4] is identical to the vaccination rate of children attending English-speaking schools in Montreal. The vaccination rate in these schools could rise or fall during the period under review, remain constant, or change according to some obscure pattern, regardless of the provincial rate. Why, then, would the researchers use an irrelevant vaccination rate, instead of obtaining the true MMR vaccination rate of the study subjects?
If this seems all too strange, well, take a deep breath. This weird story of research misconduct gets even more bizarre.
Despite the researchers’ claim that they compared the rate of autism in children of English-speaking schools in Montreal to the rate of MMR vaccination in the province of Quebec, a year after the study was published the real source for the MMR vaccination data was revealed. It was not obtained from surveys of the Quebec province, as stated in the paper, but from Quebec City, its capital.
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Archive:
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P 4:
Data on MMR uptake for the study period were available through the Direction de Sante´ Publique de la Capitale Nationale (N.Boulianne, BN, MSc, written communication, 2005).
Date: Mar 7, 2007
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Archive:
http://archive.is/253mj
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Author: F. Edward Yazbak
The data’s misattribution was discovered by an independent vaccine researcher named F. Edward Yazbak, a retired American pediatrician and grandfather of an autistic child. Dr. Yazbak contacted health authorities in Quebec and submitted questions pertaining to the vaccination rates quoted in the Fombonne 2006 study. The response delivered by the Quebec Public Health Department was authored by the same official who provided the vaccination data to Fombonne and colleagues.100 The letter confirmed Yazbak’s suspicion that the MMR vaccination data on which the paper was based came from Quebec City, not the province of Quebec.101 The discovery made by Yazbak, that Fombonne 2006 compared the rate of autism in a school district in one city (Montreal) to the MMR vaccination rate in a different city (Quebec City), emphasizes even further the absurdity of the researchers’ statistical calculations. In terms of the hypothetical study mentioned earlier, this is equivalent to comparing the rate of lung cancer in the employees of the Philadelphia restaurant chain with the rate of smoking among residents of Harrisburg, the capital of Pennsylvania.
Date: Mar 7, 2007
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Archive:
http://archive.is/253mj
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Author: F. Edward Yazbak
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As a note, I believe the evidence of no link between MMR and Autism is sufficient. It's not worth publishing more on this subject. We will not be publishing this exchange of correspondence.
Upon receiving the formal response of the Quebec health authorities, Yazbak wrote a letter to Pediatrics, the medical journal that published the Fombonne 2006 study. In the letter he detailed the information in his possession which indicated the paper contained a serious error or perhaps even a deliberate misrepresentation. A copy of the letter was forwarded to Fombonne, who declined to address the accusation. Although its lead author did not bother to explain the glaring contradiction between the data source cited in the paper and the actual source, Gerald Lucy, editor of Pediatrics, refused to publish Yazbak’s letter. In his reply to Yazbak, Lucy said, “I believe the evidence of no link between MMR and Autism is sufficient. It’s not worth publishing more on this subject. We will not be publishing this exchange of correspondence.”102 Yazbak’s letter was never published in Pediatrics or any other medical journal.
Another important insight to be gained from Fombonne 2006 concerns the relative validity of the results of ecological epidemiological studies which analyze populations. Let us suppose that the Fombonne 2006 study was conducted faithfully and correctly, that is, it compared the rate of autism in the Montreal English-speaking school district with the MMR vaccination rate of the same population. Suppose, moreover, that the rate of autism among the children of the study population increased during the study period, while MMR uptake decreased slightly, leading the researchers to emphatically conclude that the MMR vaccine does not cause autism. Would the researchers’ conclusion be reasonable? Can a study of this type justify such a decisive conclusion?
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Archive:
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P 3:
the LBPSB has a special support team to monitor the progress of children with PDD in its schools. This team keeps a list of children with a PDD diagnosis, which is updated on a weekly basis. The children with PDD who are the focus of this study were identified via this list.
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Archive:
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P 4:
Individual immunization data were not available for study subjects.
The answer to both questions is “no”. Epidemiological studies, especially those looking at the population level, cannot confirm or disprove a causal link, and therefore, the strength of their results is relatively low. This becomes clear when we consider the vaccination status of the 180 autistic children who were the focus of Fombonne 2006. The researchers, oddly enough, made no effort to determine whether these children received the MMR or not, even though they had a complete list of their names103 and they reported extensively on other personal characteristics. They devote just a single sentence of nine words to this crucial statistic: “Individual immunization data were not available for study subjects.”104 Was that really true, or did they look at the vaccination data for these children and choose not to publish it? Did the researchers prefer not to include the MMR vaccination status of those 180 autistic children because it would “mess-up” their predetermined study outcome? If, for example, vaccination data for the study’s autistic children revealed that MMR uptake for this particular group of children was actually rising throughout the period, that would obviously have reversed the results of the study.
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Archive:
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P 10:
… data about regression in the course of the development of children with PDD were not available in this study …
Similarly, let us suppose that the researchers interviewed the parents of those 180 autistic children and found that, say, 80% of them had a marked developmental regression following MMR vaccination. Conducting such interviews would yield more robust and convincing evidence of a link between MMR and autism than a population-level correlation discovered through an ecological epidemiological study. However, no information regarding autistic developmental regression following MMR was collected by the researchers.105 Instead, they went all the way to Quebec City, 235 miles from Montreal, to obtain MMR data for that city’s children and used it to provide bogus support for the assertion that MMR does not cause autism.
Summary: It requires a considerable stretch of the imagination to consider the work of Fombonne and his coauthors “science”. It is even more difficult to accept that the study was peer-reviewed and published in a leading medical journal and that its scientific record, and the reputations of its authors, remain unblemished to this day. It is highly disturbing that the editor who published the study ignored evidence of malfeasance and chose to protect the study and its authors as well as the reputation of his own journal. All of the above stand in stark contrast to the ethos of science, which places scientific truth above personal, commercial, and even government interests.
The Fombonne 2006 study provides a striking example of the informal rule of vaccine safety research: No matter how contorted or fallacious a study may be, it will receive full support from the medical establishment as long as it supports the vaccine safety dogma.
The first part of this chapter described the marked contrast between the scientific ideal and real-life science. Scientific research is expensive, and budgets are not inexhaustible. Therefore, researchers, whose livelihoods and professional status depend to a large extent on research grants, are forced to align their research proposals with the agenda of their funding bodies, typically government agencies or pharmaceutical companies. The result of this reality is evident in the sample of vaccine safety studies reviewed above – deeply flawed, misleading science that serves the vested interests of funders instead of the truth.
It is important to remember, however, that securing funding and conducting research is not the end of the line for scientists. They still need to publish their work in medical journals, and the more prestigious the journal, the better. According to The Pure Science Myth, medical journals apply a rigorous screening and review process that ensures the quality of the studies they publish. A study that passes this high editorial bar and is published by a legitimate medical journal is thus awarded a stamp of approval that attests to its adherence to science’s methodological standards and ethical guidelines.
The obvious question, then, is how did this quintet of purposely flawed studies ever make it through that rigorous screening process? Why and how did prestigious journals such as NEJM and Pediatrics print studies with such glaring faults? Why would leading medical journals put their hard-earned reputations at risk by publishing flawed research? And yet another question: For the flawed studies that somehow slipped through and got published, where was the critical post-publishing academic discourse that was supposed to expose their shortcomings, correct their mistakes, and demand answers from their authors?
Contrary to The Pure Science Myth and the impression deliberately cultivated by the scientific establishment, medical journals are quite limited in their ability to ensure the quality of scientific papers submitted for publication. The main tool, or process, that journals use for this purpose is called peer review. According to this process, which varies slightly from journal to journal, a candidate paper is evaluated by a handful of professionals who specialize in the same research area as the study. These reviewers read the paper, rate its quality, and if the need arises, raise issues requiring correction or clarification. To maximize objectivity, reviewers’ identities are kept secret so that study authors cannot contact them or try to otherwise influence their evaluation.[d4]
http://jama.jamanetwork.com/article.aspx?articleid=194989
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Archive:
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PMID: 12038911
Lead Author/Year: Tom Jefferson, 2002
Journal: JAMA
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P 1:
CONCLUSIONS: Editorial peer review, although widely used, is largely untested and its effects are uncertain.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1420798/pdf/0178.pdf
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Archive:
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PMID: 16574968
Lead Author/Year: Richard Smith, 2006
Journal: Journal of the Royal Society of Medicine
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P 2:
At the BMJ we did several studies where we inserted major errors into papers that we then sent to many reviewers. Nobody ever spotted all of the errors. Some reviewers did not spot any, and most reviewers spotted only about a quarter.
In theory, this gentlemanly arrangement may seem like an effective way to assure the quality of scientific papers. In practice, however, it is an unreliable process and its capacity to deliver on its promise is dubious at best. In fact, according to a review of the relevant published research on the topic, the scientific validity of the peer review process itself has never been established.106 Richard Smith, a former editor of the British Medical Journal (BMJ), conducted his own small experiment to test the quality of his journal’s peer-review process: “At the BMJ,” he writes, “we did several studies where we inserted major errors into papers that we then sent to many reviewers. Nobody ever spotted all of the errors. Some reviewers did not spot any, and most reviewers spotted only about a quarter.”107
Date: Mar 16, 2016
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Website: TOHE
https://www.timeshighereducation.com/news/should-academics-be-paid-for-peer-review
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Archive:
http://archive.is/OUeBu
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As the number of papers needing review increases, journals are thinking of replacing a voluntary system with cash rewards
The mediocre quality of reviewers’ work should not be surprising considering the conditions under which it is done. Peer review places a considerable burden on reviewers, as it is typically performed on top of their regular work. Furthermore, as the vast majority of medical journals do not pay for peer review,108 reviewers are rarely compensated for their time and effort. In addition, the task must be completed within a relatively short period of time so as not to delay the paper’s publication. But the biggest difficulty reviewers face in detecting errors is the fact that submitted papers rarely contain all the relevant data or the full details behind their calculations. Thus, reviewers cannot verify the quality of the data, the accuracy of the calculations, nor the calculations’ appropriateness or rectitude.
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Archive:
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P 2:
Peer review sometimes picks up fraud by chance, but generally it is not a reliable method for detecting fraud because it works on trust.
This problem becomes even more acute when dealing with purposely biased research. In these studies, researchers typically make an effort to conceal the study’s faults by presenting partial or vague information (recall the omitted autoimmune disease statistics for the control group in Grimaldi 2014 and the crucial statistical calculations missing from Madsen 2002). Thus, the authors minimize the likelihood that reviewers will uncover the study’s intentional errors. “Peer review sometimes picks up fraud by chance,” remarks Richard Smith, “but generally it is not a reliable method for detecting fraud because it works on trust.”109
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P 5:
Some journals, including the BMJ, make it a condition of submission that the editors can ask for the raw data behind a study. We did so once or twice, only to discover that reviewing raw data is difficult, expensive, and time consuming.
In fact, given the dynamics of the current peer-review process, even if reviewers had full access to study data their bias detection yield would not significantly improve. In order to identify all, or most, of a study’s errors, reviewers must carefully inspect the data and repeat the calculations performed. They essentially need to repeat large chunks of the work originally performed by the study authors. Obviously, given their time constraints and the fact that they are not financially compensated, this is not even remotely feasible for most reviewers. Richard Smith notes that BMJ editors have tried once or twice to review the raw data of a study only to find the task “difficult, expensive, and time consuming.”110
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P 2:
So we have little evidence on the effectiveness of peer review, but we have considerable evidence on its defects. In addition to being poor at detecting gross defects and almost useless for detecting fraud it is slow, expensive, profligate of academic time, highly subjective, something of a lottery, prone to bias, and easily abused.
The peer-review process has many other disadvantages, as Smith aptly notes: “In addition to being poor at detecting gross defects and almost useless for detecting fraud, it is slow, expensive, profligate of academic time, highly subjective, something of a lottery, prone to bias, and easily abused.”111
Unfortunately, peer review, the prepublication process implemented by medical journals for assuring the quality of published papers, does not live up to its reputation as an effective barrier to bad science. So what happens when flawed or fraudulent studies manage to sneak their way through the cracks? Does science provide a mechanism to retroactively identify and rectify bad published research? Is there any collective body of scientists out there, as The Pure Science Myth tells us, which keeps probing published research, weeding out studies that fail to meet the scientific standard?
Here, too, the answer is “no”.
Date: Feb 16, 2015
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Website: VOX
http://www.vox.com/2015/2/16/8034143/john-ioannidis-interview
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Archive:
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Recently there’s increasing emphasis on trying to have post-publication review. Once a paper is published, you can comment on it, raise questions or concerns. But most of these efforts don’t have an incentive structure in place that would help them take off. There’s also no incentive for scientists or other stakeholders to make a very thorough and critical review of a study, to try to reproduce it, or to probe systematically and spend real effort on re-analysis. We need to find ways people would be rewarded for this type of reproducibility or bias checks.
John Ioannidis, a renowned researcher at Stanford University who specializes in analyzing the scientific method, explains that scientists have no motivation to critically examine the work of their peers: “There’s no incentive for scientists or other stakeholders to make a very thorough and critical review of a study, to try to reproduce it, or to probe systematically and spend real effort on re-analysis. We need to find ways people would be rewarded for this type of reproducibility or bias checks.”112 One might add, on top of Ioannidis’s pointed remarks, researchers typically have even less incentive to perform “a very thorough and critical review” of a vaccine safety study. Publicly challenging institutional vaccination policies could severely impair their chances of receiving future research grants and would likely provoke harsh criticism from supervisors and peers.
Those scientists who, nevertheless, wish to review their peers’ work thoroughly usually face another obstacle: obtaining the raw data for the study. There is no law or regulation compelling researchers to provide the original data they used to other researchers. Moreover, the data used to generate medical research in general, and epidemiological research of vaccines in particular, is usually stored in medical or other institutional computer systems owned by public bodies or health sector corporations. These entities lawfully reserve the right to restrict access to their data for reasons of medical confidentiality or private property. Thus, they can limit at will the reevaluation of questionable studies that make use of data they own and whose outcomes support their agenda.
Editors of medical journals, as well, have limited motivation to encourage critical discourse of studies they published. According to The Pure Science Myth, one of their primary roles is to serve as guardians of scientific truth, including, of course, the research published under the auspices of their own journal. Correcting bad published research is good for science, the Myth asserts, and beneficial to the reputation of the journal as well. In practice, however, encouraging criticism of your own published research is a double-edged sword. Too much of it could seriously, and possibly irrevocably, damage a medical journal’s reputation.
It is also important to remember that medical journals are an integral part of the medical-academic world. They maintain close working relationships with pharmaceutical companies, researchers and academics, and official health bodies. Because this world is united by its unreserved support for vaccines, journal editors have nothing to gain by swimming against the current, even if that means tolerating the occasional breach of scientific ethics.[e4] Just as researchers and doctors who produce purposely biased vaccine safety research are not chastised or even reprimanded, medical journals rarely, if ever, pay any price for the publication of these studies.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2685008
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Archive:
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PMID: 19478950
Lead Author/Year: Daniele Fanelli, 2009
Journal: PLOS One
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P 1:
A pooled weighted average of 1.97% […] of scientists admitted to have fabricated, falsified or modified data or results at least once –a serious form of misconduct by any standard–and up to 33.7% admitted other questionable research practices. In surveys asking about the behaviour of colleagues, admission rates were 14.12% […] for falsification, and up to 72% for other questionable research practices.
“Researchers would not risk their careers by intentionally publishing incorrect or biased research.” – Indeed, according to The Pure Science Myth, the scientific–academic system punishes scholars who do not follow its ethical standards. In practice, however, one in seven researchers reports having witnessed research results falsified by peers, and over 70% report that their colleagues have performed other questionable research activities.113 Moreover, as evident from the studies analyzed in this chapter, vaccine safety researchers in particular seem to enjoy unlimited freedom to skew, and even blatantly ignore, standard scientific methodology, as long as they arrive at the “correct” conclusion. This unethical conduct perfectly aligns with the vested interests of the corporations and government institutions that fund vaccine safety research. As long as researchers conform to the agenda of the vaccine establishment, they are protected by the system and their livelihoods and professional reputations remain unscathed. The events that followed the publication of the Fombonne 2006 study illustrate this point well.
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P 2:
So we have little evidence on the effectiveness of peer review, but we have considerable evidence on its defects. In addition to being poor at detecting gross defects and almost useless for detecting fraud it is slow, expensive, profligate of academic time, highly subjective, something of a lottery, prone to bias, and easily abused.
“Vaccine safety studies have been published in leading journals and were peer-reviewed. They are unlikely to contain errors, and they are certainly not biased.” – As explained in this chapter and acknowledged by the former editor of one of the most prestigious medical journals in the world, the peer-review process is not fulfilling its intended purpose of filtering out erroneous or falsified research. Hence, publication in a medical journal is not a reliable indicator of study quality or veracity. In the words of Richard Smith, former editor of the British Medical Journal: “We have little evidence on the effectiveness of peer review, but we have considerable evidence on its defects. In addition to being poor at detecting gross defects and almost useless for detecting fraud, it is slow, expensive, profligate of academic time, highly subjective, something of a lottery, prone to bias, and easily abused.”114
“The chapter analyzed only a handful of studies. There are many other studies that have ruled out the link between vaccines and various adverse events.” – An entire book could be, and should be, dedicated to analysis of biased vaccine safety studies. Due to space considerations, only five were examined in this chapter. Nevertheless, the biased studies reviewed in this chapter are not exceptions to the rule; they are the rule. Some of these studies were conducted by reputable vaccine researchers, including CDC employees and a CDC-funded group. Some of the studies received extensive media coverage and are referenced to this day by websites of leading public health agencies around the world as well as other medical publications. Despite their conspicuous biases and alleged misconduct, they have not been criticized by any medical or scientific officials. Thus, the inevitable conclusion is that these studies demonstrate the accepted ethical norms of vaccine safety research.
“Why don’t we see other researchers examine the same data and come up with different results? This is a sign that the original studies are in fact genuine.” – As stated in this chapter, vaccine safety research is funded almost exclusively by health authorities and vaccine manufacturers, both of which have clear interests in the success of the vaccine program and will not fund studies that could jeopardize it. In addition, vaccine safety research makes use of medical data that is largely controlled by these health authorities. This prevents “dissident” researchers from accessing this data, thus artificially limiting the publication of vaccine-critical science.
“So, are you saying there’s a worldwide conspiracy involving health authorities, vaccine manufacturers, scientists, and medical journals to publish deliberately biased research on vaccine safety?” – When the interests of separate parties clearly overlap and all stand to gain by joining forces, cooperation is to be expected. This chapter described the major parties involved in vaccine safety research, their motives, and vested interests. All parties are acting in furtherance of their own best interests, trying to achieve their goals through any means at their disposal. Nothing is unusual or novel about that. No “conspiracy” is required to explicate these actions.
Epidemiological studies are the tool of choice for health authorities and pharma companies to maintain a façade of vaccine safety science. They are cheap, relatively simple to conduct, and, above all, their results are easily manipulated.
The five studies reviewed in this chapter illustrate some of the many methods researchers use to manipulate the results of epidemiological studies:
- Using unsubstantiated data (Madsen 2002).
- Using irrelevant data (Fombonne 2006).
- Hiding the real source of the data (Fombonne 2006).
- Omitting essential data from the paper (Grimaldi 2014).
- Reversing the trend of raw data by means of undisclosed statistical adjustments (Madsen 2002).
- Using arbitrary, meaningless, and scientifically baseless calculations (DeStefano 2013).
- Dismissing inconvenient findings on a speculative or arbitrary pretext (McKeever 2004).
- Misrepresenting the subject of the study to the public (DeStefano 2013).
- Using a grossly inadequate research method (Fombonne 2006).
- Using a research method that facilitates easy manipulation (DeStefano 2013, Grimaldi 2014).
- Failing to address post-publication misconduct allegations (Fombonne 2006).
- Overstating the significance of study results (all).
Amazingly enough, this assortment of faults did not prevent any of these studies from being published in leading medical journals or lead to their retraction. No mainstream scientist, academic, or journalist has directed a single critical word toward the studies or their authors. The studies’ scientific reputations remain unblemished to this day, and they are frequently cited in the medical literature and publications of health authorities as evidence of vaccine safety. None of those citing the studies ever mention their obvious flaws or the researchers’ conflicts of interest.
The blanket institutional immunity afforded to these purposely biased studies and their authors clearly shows that these studies conformed to the appalling ethical norms of vaccine safety research accepted by the scientific world. This fundamentally flawed research is the direct consequence of the way science is currently funded, which ensures researchers’ dependency on their funding source, be it government or a pharmaceutical company. The vaccine establishment relies on the fact that the public is unaware of this mechanism and its inherent flaws, which guarantees that vaccine safety science is almost never carried out objectively.
Therefore, in the spirit of the Mark Twain adage that appears at the beginning of this chapter, one should exercise extreme caution when reviewing the conclusions of vaccine safety epidemiological studies – those that have already been published and those that will be published in the future.
Ask your doctor:
- Do you know who funds most vaccine safety research? Are you familiar with the process used to allocate medical research grants?
- Would you expect pharmaceutical companies and government agencies to fund vaccine safety studies that could potentially find serious faults in the vaccines they manufacture, license, and recommend to the public?
- Are you aware that studies published in leading medical journals which ostensibly confirm the safety of vaccines suffer from serious methodological flaws and are fraught with authors’ conflicts of interest?
Imagine you are watching a TV documentary on the history of cigarette smoking. The show focuses on the public debate regarding the potential health hazards of smoking in the 1950s. According to this fictional account, the US health authorities of the time endorsed cigarette smoking and reassured the public it was completely safe. Scientific consensus, the authorities repeatedly proclaimed, asserted that smoking had no significant health hazards. No association had been found between smoking and a variety of chronic diseases and syndromes erroneously attributed to it by newly formed anti-smoking advocacy groups. To substantiate their claim, authorities presented a long list of epidemiological studies that confirmed the safety of cigarette smoking: A study comparing the health implications of smoking three packs a day versus two packs a day; a study comparing the health of Camel smokers to that of Marlboro smokers; studies comparing the health of smokers of commercial brands with those who rolled their own; and a host of additional studies exploring potential health risks of smoking. All of these studies, from the first to the last, concluded that no association was found between smoking and adverse health issues, and specifically between smoking and the rising lung cancer morbidity. “The science is unequivocal on the safety of smoking,” pronounced health officials and leading scientists of the 1950s over and over again. “No scientific evidence exists linking cigarette smoking and lung cancer or other harmful effects. This case is closed.”
Nonetheless, some advocacy groups didn’t consider the case closed. Challenging the scientific consensus, these groups carefully examined the science that upheld the safety of cigarette smoking and discovered an amazing and disturbing fact: None of the dozens of epidemiological studies that looked into the issue compared the health status of smokers to that of nonsmokers. There were studies exploring the health consequences of smoking different amounts, different brands, different ingredients, in different geographical areas, and so on. But in every study, each and every one of the subjects was a smoker. None of the studies compared the health of smokers to that of nonsmokers. How could cigarette smoking be deemed safe, the critics wondered, if essential studies comparing the health of smokers to nonsmokers hadn’t even been done?
In response to this criticism, establishment representatives acknowledged that smoker vs. nonsmoker studies hadn’t been done. But these studies were neither necessary nor feasible, they explained, so they weren’t likely to be conducted anytime in the future either. The bottom line, they concluded, is that we investigated this issue thoroughly, and the science is crystal clear and settled that smoking is completely safe. Everyone can go on with their lives. The matter is closed.
What do you, the reader, think about this narrative? Does it seem conceivable that health authorities could determine that cigarette smoking was safe without ever conducting studies comparing the health of smokers to that of nonsmokers?
Well, it shouldn’t. This history is indeed fictional, as stated in the opening paragraph. These events never took place because as early as the 1950s, American and British researchers conducted extensive epidemiological studies that compared various health outcomes in smokers and non-smokers. These studies paved the way for official recognition of the harms of smoking in the late 1950s.
As far as smoking is concerned, the requisite studies were performed long ago and the results made public, thus preventing countless cases of smoking-induced cancer. In the field of vaccine safety, however, the scenario described in the TV documentary is not at all fictional but rather a grim reality.
In the previous chapter we saw how epidemiological studies can be used to create an illusion of vaccine safety. Epidemiology’s methods and tools give researchers the flexibility to tailor study results to their sponsor’s needs. As it happens, government bodies and private corporations fund dozens, if not hundreds, of new vaccine studies every year. These studies reconfirm, time and time again, the institutional claim that vaccines are safe and effective. Surprisingly, though, a specific kind of vaccine safety study, a study that would be considered absolutely essential in any other medical field, has never been done – and probably never will be.
This chapter, therefore, describes the vaccine safety studies that have never been done and the medical establishment’s ostensible reasons for not doing them. As we scrutinize the official explanation, you should be asking yourself some questions: Does the reluctance make sense? Is the establishment being candid about the reasons for not doing these studies? Or is there a better explanation for this peculiar scientific neglect? And what is the impact of not doing these studies on the validity of the vaccine program?
The term vaccinated vs. unvaccinated study (henceforth, VU study) refers to an epidemiological study that compares different health metrics between a group of subjects who were fully and timely vaccinated (according to official recommendations at the time) and a control group of subjects who were not vaccinated at all. A VU study could potentially look at the effect of the childhood vaccination program on the overall health of vaccinees, or, alternatively, on the incidence rates of specific diseases or syndromes, such as asthma or autism.
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Website: CDC website
http://www.cdc.gov/vaccines/parents/infographics/journey-of-child-vaccine.html
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Archive:
http://archive.is/uuJeo
VU studies are essential to monitoring the safety (and efficacy) of the vaccine program as a whole. As described in chapter 1, the effect new vaccines may have on the safety and efficacy of the overall vaccination schedule is not studied prior to licensing.1 Pre-licensure clinical trials test health outcomes of the candidate vaccine when given separately, or, at most, in combination with other vaccines that are typically administered at the same doctor visit. None of the trials use a control group of children who are completely unvaccinated. Therefore, they cannot assess the cumulative effect of adding yet another new vaccine to the childhood vaccination schedule.
Many studies of different types are conducted to test the efficacy and safety of a specific vaccine. But even if a particular vaccine were found to be safe on its own, it could still contribute to a cumulative adverse effect on children who receive all the recommended vaccines. No one piece of straw can break a camel’s back, but pile on enough of them and a single piece will eventually be the difference between a tired back and a broken one. For example, many vaccines contain adjuvants made of aluminum salts.[f4] Aluminum salts are known to be toxic and in certain doses and conditions may accumulate in the body and subsequently lead to neurological or other injuries. A clinical trial of a new aluminum-containing vaccine cannot identify long-term health effects caused by the gradual accumulation of aluminum in an infant’s body. The long-term health effects of aluminum adjuvant accumulation in the human body are not yet well known.[g4] Aluminum, needless to say, is just one of dozens of substances found in routine vaccinations.
http://www.nap.edu/catalog/13563/the-childhood-immunization-schedule-and-safety-stakeholder-concerns-scientific-evidence
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Author/Year: IOM, 2013
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P 40 (57):
…the sample sizes in prelicensing clinical trials may not have been adequate to detect rare adverse events, the prelicensing study population may not have been monitored for long-term adverse events, and populations may not have been heterogeneous
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P 70 (87):
The committee also acknowledges that the public health community has in place monitoring systems that work very well for the detection of adverse events that occur in the short term after immunization.
Clinical trials of vaccines typically do not report chronic syndromes and diseases, such as autism, attention deficit hyperactivity disorder (ADHD), diabetes, or cancer. These conditions develop over a period of months or years, and consequently researchers tend not to associate them with the tested vaccine even if they are diagnosed during the time frame of the clinical trial.2 Adverse event reporting systems, which monitor the safety of licensed vaccines, also suffer from a similar limitation. Case reports submitted to these systems mostly describe adverse health events recorded several days or weeks following vaccination.3 A health condition diagnosed many months after vaccine administration is not likely to be attributed to the vaccine and, therefore, will not be reported.
The lack of safety testing of the cumulative effect of vaccines during their approval process, as well as the inherent limitations of adverse event reporting systems, has not attracted the attention of the FDA or CDC. Over the past few decades, many new vaccines have been approved and subsequently added to the routine vaccination program. However, these agencies have not investigated or even considered the potential adverse effects of the growing number of vaccines on the overall health of vaccinated children.
Thus, in order to evaluate the safety of the entire vaccination program, as well as the impact of vaccines on adverse health conditions that develop in the medium and long terms, clinical trials and studies of the safety of individual vaccines do not suffice. To achieve this end, one must conduct studies comparing the health of subjects who were fully vaccinated with the health of those who were not.[h4] These essential studies are the “vaccinated vs.unvaccinated” or VU studies.
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P 94 (111):
The committee’s review confirmed that research on immunization safety has mostly developed around studies examining potential associations between individual vaccines and single outcomes. Few studies have attempted more global assessments of entire sequence of immunizations or variations in the overall immunization schedule and categories of health outcomes, and none has squarely examined the issue of health outcomes and stakeholder concerns in quite the way that the committee was asked to do in its statement of task. None has compared entirely unimmunized populations with those fully immunized for the health outcomes of concern to stakeholders.
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P 86-88 (103-105)
As we shall see later in the chapter, although numerous vaccine studies are published annually, no VU safety study has ever been officially conducted to determine the impact of the entire vaccine program on the overall health of children. In addition, no such study ever examined the effect the program might be having on the rising incidence of any chronic health conditions.4 Thus, no government-funded study has ever compared the rate of autism in vaccinated and unvaccinated children.5 Similarly, no VU studies have been conducted for cancer, asthma, diabetes, learning disorders, ADHD, epilepsy, Crohn’s disease and many other life-altering conditions, although all of them have become increasingly common in recent decades. The fact that these fundamental studies have never been done raises serious doubts about the safety and overall benefits of the routine vaccination program, as will be discussed below.
The US vaccination program has been constructed layer by layer over the past 70 years. Until the middle of the last century only a single vaccine was widely distributed in the United States – the smallpox vaccine. In the late 1940s, the diphtheria-pertussis-tetanus vaccine (DPT) was becoming popular, and in the mid-1950s the polio vaccine was introduced – the first vaccine to be introduced in a nationwide campaign. An ad hoc precursor to the Advisory Committee on Immunization Practices (ACIP) recommended that all American children receive the measles vaccine in 1963. The ACIP was officially formed the following year and has been “calling the shots” ever since, adding more and more vaccine recommendations throughout the subsequent decades, especially following the 1986 National Childhood Vaccine Injury Act. Presently, by the time they are two years old, American children receive up to 28 vaccine doses for 14 different diseases.
Each new vaccine that was added to the schedule in recent decades was previously tested in a series of clinical trials. However, the overall health impact of routinely administering an ever-increasing number of vaccines to American infants has never been studied. In other words, the fundamental question that bothers every vaccine-informed parent – “Will my child be better off fully vaccinated, partially vaccinated, or unvaccinated?” – has never been adequately answered by science. No study that compares the overall health of vaccinated children to that of unvaccinated children has ever been done by the medical establishment.
In the absence of a VU study examining vaccines’ impact on overall health, science cannot determine the real net benefit – positive or negative – of the childhood vaccination program. Accordingly, health authorities’ repeated mantra of “vaccines have been extensively and thoroughly investigated and shown to be safe and effective” has not been demonstrated. It is entirely possible that the potential benefits of the vaccine program (lower rates of vaccine-preventable diseases) are outweighed by its costs (higher incidence of chronic and other infectious diseases). Until VU studies are done, we won’t ever know for sure.
Given the firm and longstanding global support for vaccines, one might expect that VU studies of overall health had been conducted many times over in numerous countries around the world. Different countries have different childhood vaccination schedules, each of which ought to be scientifically studied and its benefits validated. These vitally important studies, however, have never been sanctioned by medical authorities in the US or anywhere else in the world.
[…]
What is the percentage of deaths before a given age, from all epidemics, amongst the vaccinated, as compared with the unvaccinated? What is the percentage respectively of cases of disease of the respiratory organs, of skin diseases, of scrofula, and of convulsions? What is the average duration of life amongst the vaccinated and amongst the unvaccinated? Of a thousand children vaccinated within a given time after birth, and of a thousand unvaccinated, the whole two thousand being placed as nearly as possible in like circumstances, what percentage in each thousand attain the age of puberty? These are statistics with which the advocates of vaccination have never grappled.”
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Website: Age of Autism
http://www.ageofautism.com/2007/12/seeking-the-tru.html
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Document Name: Compulsory Vaccination Briefly Considered
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Author/Year: John Gibbs, 1856
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P 10-11:
The main question for the consideration of science is not whether vaccination be a protection against one form of disease, but what is its general influence upon the constitution?
[…]
What is the percentage of deaths before a given age, from all epidemics, amongst the vaccinated, as compared with the unvaccinated? What is the percentage respectively of cases of disease of the respiratory organs, of skin diseases, of scrofula, and of convulsions? What is the average duration of life amongst the vaccinated and amongst the unvaccinated? Of a thousand children vaccinated within a given time after birth, and of a thousand unvaccinated, the whole two thousand being placed as nearly as possible in like circumstances, what percentage in each thousand attain the age of puberty? These are statistics with which the advocates of vaccination have never grappled.
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Website: US Government Publishing Office
https://www.gpo.gov/fdsys/pkg/CREC-2013-04-26/html/CREC-2013-04-26-pt1-PgE576.htm
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Archive:
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Before coming to Congress in 2009, I heard from some in the autism community who have advocated for a retrospective study to examine whether there are different health outcomes when comparing vaccinated children and unvaccinated children, including autism and chronic conditions. I have continued to hear these requests over the past four years.
It seems inexplicable that VU studies have not been initiated by the vaccine establishment for so many years. Could thousands of officials, researchers, and medical professionals around the globe have just “not noticed” the complete absence of this crucial piece of vaccine safety research from the medical literature? Well, even if they did, there were plenty of people pointing it out to them. Parents have been demanding VU studies for nearly 30 years.[i4] 6 Many believe vaccines to be the prime suspect in the recent huge increase in chronic disease in children, and there can be no vindication until proper VU studies are performed.7 The reluctance of health authorities to perform VU studies is even more intriguing in light of the continuing decline in public confidence in vaccines. Authorities constantly predict dire consequences from declining vaccination rates, yet they refuse to conduct the one study that could indisputably prove the benefits of the vaccination program and relieve parents’ concerns, even as they continually commission the sort of vaccine safety studies discussed in the last chapter that pretend to address parental anxiety.
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Website: Autism Speaks
https://www.autismspeaks.org/science/science-news/no-mmr-autism-link-large-study-vaccinated-vs-unvaccinated-kids
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Archive:
http://archive.is/5mWxz
As a substitute for VU research, every year the establishment funds dozens of studies that look at vaccine safety and effectiveness from (almost) every angle. Some of these studies flirt with the concept of a VU study and, with a sprinkle of public relations magic, are even presented as such. For example, a prominent national autism organization announced in 2015 that “No MMR-autism link [was found] in a large study of Vaccinated vs. Unvaccinated kids.”8 The term “unvaccinated” that appears in the title and is repeated several times in the article, implies that the study included a group of children who were completely unvaccinated. In fact, the study only examined the subjects’ vaccination status of a single vaccine, the MMR, and not of the entire childhood schedule. It is entirely possible, then, that the vast majority of the “unvaccinated” children in the study received every dose of every vaccine on the schedule other than MMR.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3057555/
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PMID: 21412506
Lead Author/Year: Roma Schmitz, 2011
Journal: Deutsches Ärzteblatt international
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Website: VeryWell Family
http://pediatrics.about.com/od/immunizations/tp/Anti-Vaccine-Myths-and-Misinformation.03.htm
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Archive:
https://web.archive.org/web/20150319024613/p:/pediatrics.about.com/od/immunizations/tp/Anti-Vaccine-Myths-and-Misinformation.03.htm
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In contrast, a real study in Germany, “Vaccination Status and Health in Children and Adolescents,” looked at medical records from KiGGS to see “whether unvaccinated children and adolescents differ from those vaccinated in terms of health.”
The diseases they looked at included allergies, eczema, obstructive bronchitis, pneumonia and otitis media, heart disease, anemia, epilepsy, and attention deficit hyperactivity disorder (ADHD).
Not surprisingly, this second study did find that unvaccinated children were more likely to get vaccine-preventable diseases. However, it also concluded that “the prevalence of allergic diseases and non-specific infections in children and adolescents was not found to depend on vaccination status.”
So, since these unvaccinated and vaccinated children had the same incidence of allergies, pneumonia, and other conditions, etc., plus unvaccinated children were also more likely to have vaccine-preventable diseases, such as measles and mumps, that hardly sounds like unvaxed kids are healthier.
Another study that some websites claim looked at the overall health of vaccinated children compared to unvaccinated children was conducted in Germany in 2011.9 However, the study only examined the morbidity rates of several infectious diseases and two types of allergies. Data on almost all the chronic diseases associated with vaccines and other important health-related parameters (e.g., pharmaceutical prescriptions, hospitalization days, deaths, etc.) were not presented in the paper. Although the study examined a very narrow slice of “overall health”, and despite its serious methodological limitations,[j4] some present it as a study that answers all parents’ questions about the risks and benefits of vaccination.10
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Archive:
https://drive.google.com/open?id=1no7T_Zx03ToHXlEMGix9miyZMhiRIVtW
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P 86 (103)
Date: July 28, 2015
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Website: UC DAVIES
https://www.ucdmc.ucdavis.edu/publish/news/newsroom/10214
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Archive:
http://archive.is/XYc84
The most notable example of the demonstrable reluctance of health authorities to conduct VU studies is in the field of autism research. Over the past 15 years, dozens of epidemiological studies have been conducted examining the association between vaccines and autism, but not a single one compared the rate of autism in fully vaccinated and fully unvaccinated children.11 Despite the fact that autism has become a huge social and financial burden on American society, the US medical establishment has stubbornly rejected every opportunity to dive deeper into its root causes by investigating the rates of autism in unvaccinated populations.12
Article Name: Vaccination Usage Among An Old-Order Amish Community In Illinois
https://journals.lww.com/pidj/Fulltext/2006/12000/VACCINATION_USAGE_AMONG_AN_OLD_ORDER_AMISH.16.aspx
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Archive:
https://drive.google.com/open?id=1x7eQSXDluWYPH-74YCVOWlx7m6Pj_Kip
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PMID: 17133167
Lead Author/Year: Jonathan S. Yoder, 2006
Journal: The Pediatric Infectious Disease Journal
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A survey of Amish vaccination rate and attitude in Ohio
Article Name: Underimmunization in Ohio’s Amish: Parental Fears Are a Greater Obstacle Than Access to Care
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PMID: 21708796
Lead Author/Year: Olivia K. Wenger, 2011
Journal: Pediatrics
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PMID: 21708796
Lead Author/Year: Olivia K. Wenger, 2011
Journal: Pediatrics
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P 5:
Similar to our study, a survey of an Arthur, Illinois, Amish population found that parents were most concerned about vaccine safety rather than availability, cost, prioritization, or alignment with religious values.
https://drive.google.com/open?id=1BCJfmWLMrjSuZ8vRYa6LL4slSnhXdfk3
In 2005, journalist Dan Olmsted paid a number of visits to Amish country in Lancaster County, Pennsylvania, in an attempt to ascertain whether the rate of autism in Amish communities had risen in sync with the rate in the general population. The Amish, whose lifestyle has not changed much over the past 200 to 300 years, vaccinate their children at a fraction of the national rate, as confirmed by surveys conducted by the CDC and others in 2006 and 2011.13 Contrary to conventional wisdom, Amish parents are not vaccinating less due to religious beliefs but because of safety concerns.14 Extrapolating from the national autism statistics of the time, Olmsted expected to find several dozen autistic Amish children in the county he visited. However, his search yielded fewer than five kids with autism, and some were quite atypical for Amish children.[k4] In a series of articles that have since traveled far and wide,15 Olmsted published his findings and hypothesized that the low incidence of autism among the Amish was due to their significantly lower rate of child vaccination.
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Website: CDC
http://www.cdc.gov/ncbddd/autism/index.html
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Archive:
http://archive.is/NOyDo
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CDC is committed to continuing to provide essential data on ASD, search for factors that put children at risk for ASD and possible causes, and develop resources that help identify children with ASD as early as possible.
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Website: CDC
http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5530a1.htm
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Archive:
http://archive.is/Kc2RD
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This report describes an outbreak of pertussis in an Amish community in Kent County, Delaware, during September 2004--February 2005, that resulted in 345 cases and affected primarily preschool-aged children.
[…]
To maximize active surveillance and control measures, a door-to-door case finding and contact investigation program was instituted.
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Article Name: Haemophilus influenzae Type b disease among Amish children in Pennsylvania: reasons for persistent disease
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PMID: 11581468
Lead Author/Year: AM Fry, 2001
Journal: Pediatrics
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We investigated recent cases, performed community surveys for Hib vaccination coverage and pharyngeal carriage, and administered a questionnaire assessing vaccination knowledge and attitudes to 298 members of 2 Amish communities (A and B) in Pennsylvania and, as a comparison group, 136 non-Amish family members who participated in state immunization clinics.
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Article Name: An epidemiologic investigation of a rubella outbreak among the Amish of northeastern Ohio
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1403405
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PMID: 8341776
Lead Author/Year: BM Jackson, 1993
Journal: Pediatrics
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Article Name: Measles among the Amish: a comparative study of measles severity in primary and secondary cases in households
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PMID: 1984459
Lead Author/Year: RW Sutter, 1991
Journal: Journal of Infectious Diseases
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An outbreak of measles among a predominantly unvaccinated and susceptible Amish population in Lebanon County, Pennsylvania, offered the opportunity to test the hypothesis that secondary cases in households are more severe than primary cases because the former have more intense exposure and receive a greater virus inoculum.
Date: Jun 9, 2014
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Website: The Guardian
http://www.theguardian.com/society/2014/jun/09/autism-costs-more-cancer-strokes-heart-disease
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Archive:
http://archive.is/b6uXH
Given that autism is arguably the greatest public health mystery of our time, Olmsted’s findings, while anecdotal and unscientific, should have elicited a response from the CDC. In addition to determining vaccine policy, the CDC is also tasked with investigating the root causes of autism.16 As the CDC wears both hats, it should have enthusiastically hopped on the Olmsted bandwagon and sent a team of researchers to thoroughly investigate this hypothetical correlation between the low vaccination and low autism rates among the Amish. The high proportion of unvaccinated children in the Amish population provided a golden opportunity for scientists to conduct a VU study of autism and other chronic diseases. However, nothing was done. Furthermore, the CDC never officially responded to Olmsted’s Amish findings. The CDC’s apparent idleness is even more striking in light of the speed and vigor of its actions when outbreaks of infectious diseases erupt in Amish counties. In the period 1991–2005, the agency sent at least four separate investigative teams to carry out epidemiological inquiries in the wake of outbreaks of measles, mumps, pertussis, and haemophilus influenzae type B (Hib) among the Amish.[l4] 17 It appears, therefore, that the CDC springs into action when dealing with infectious disease in Amish country but takes a pass when it comes to chronic conditions like autism. This difference in priorities becomes even more baffling when you consider the huge economic and social burden of autism, which far exceeds that of the four aforementioned infectious diseases combined.18
Date: Dec 7, 2005
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Website: UPI
http://www.upi.com/Health_News/2005/12/07/The-Age-of-Autism-A-pretty-big-secret/68291133982531/
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Archive:
http://archive.is/GEpma
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“We have a fairly large practice. We have about 30,000 or 35,000 children that we've taken care of over the years, and I don't think we have a single case of autism in children delivered by us who never received vaccines,” said Dr. Mayer Eisenstein, Homefirst's medical director who founded the practice in 1973. Homefirst doctors have delivered more than 15,000 babies at home, and thousands of them have never been vaccinated.
After completing his tour of Amish communities, Olmsted continued his quest for unvaccinated populations to examine their autism rates. This led him to Chicago, to the Homefirst clinic of Dr. Mayer Eisenstein and colleagues. Homefirst doctors took a rather unconventional approach to medical care that involved home birth and minimal use of prescription medications and vaccines. They didn’t know of a single case of autism, they said, among the thousands of unvaccinated children they’d had under their care over more than 30 years of practice.19 Once more, one would have expected the CDC to jump into action upon hearing the news and send a research team in an attempt to crack the autism riddle. A group of several thousand children without a single case of autism among them might provide an important clue to the mystery that medical science had failed to solve over the past half century. As with the Amish, however, the CDC did nothing, and the opportunity to do a VU autism study died on the vine, again.[m4]
https://www.researchgate.net/publication/8649372_A_prevalence_estimate_of_pervasive_developmental_disorder_among_Immigrants_to_Israel_and_Israeli_natives_-_A_file_review_study
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Archive:
https://drive.google.com/open?id=1jXh9kgpJS77gnPZXw0-HX1BqeDloNAS3
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PMID: 15052396
Lead Author/Year: Anat Kamer, 2004
Journal: Social Psychiatry and Psychiatric Epidemiology
Another fortuitous opportunity for a VU autism study came up in 2004 at the Ruppin Academic Center in Israel. Ruppin researchers compared the rate of autism among Israeli children of Ethiopian descent born in Ethiopia with that of those born in Israel.20 The rate of autism in Ethiopian-descent children born in Israel, who had presumably been vaccinated with all the vaccines in the Israeli program,[n4] was quite similar to the national rate. In stark contrast, in the Ethiopian children who immigrated to Israel at a young age (who were likely not vaccinated in infancy), the autism rate was… zero. Not even a single case of autism was recorded among them. The difference between the groups was not likely to be due to misdiagnosis, as all the children ended up in Israel and would have been diagnosed by the same government-provided screening services. The results of the Ruppin study suggest that environment and lifestyle, much more than genetic disposition, are the main factors affecting the development of autism. Both Ethiopian-descent groups shared similar genes, but autism was evident only in Israeli-born children. The Ruppin researchers, who were studying the assimilation of immigrant populations in Israel, were unaware of the broader significance of their research and its indirect support for the vaccine–autism link. The CDC, unsurprisingly, ignored yet another opportunity to conduct a VU autism study. Unfortunately, the Ruppin study has not been publicly discussed or referenced by any US health agency, and, as might be expected, no funding was allocated for further research on the intriguing Israeli data.
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Website: YouTube
https://youtube/xUf4L6UQhbk?t=143
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Website: YouTube
https://youtube/xUf4L6UQhbk?t=143
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Minute 2:23
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Website: YouTube
https://youtube/xUf4L6UQhbk?t=143
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Minute 3:17
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Website: University of Minnesota
https://rtc.umn.edu/autism/
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Archive:
http://archive.is/VXvmu
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The Somali estimate of 1 in 32 compares to 1 in 36 White children, 1 in 62 Black children and 1 in 80 Hispanic children.
Another immigrant community from Africa, this time closer to home, presented the CDC with one more opportunity to investigate the link between vaccines and autism by means of a VU study. In 2008, news stories began to appear reporting a particularly high rate of autism among children of Somali descent who were born in Minnesota.21 The autism rate in this group of children was reported to be three to four times higher than the national rate. Furthermore, similar to the children of Ethiopian-descent in the Ruppin study, all the autistic children in the Somali community in Minnesota were born in the United States. None of them were born in Somalia.22 Some of the children’s mothers noted that autism is unknown in Somalia and that the Somali language does not even have a word describing this condition. At the same time, particularly high rates of autism were also found among children in the Somali immigrant community in Sweden.23 Swedish researchers who reported these findings hypothesized that these high rates may have been caused by a vitamin D deficiency due to the low sun exposure in northern countries.[o4] The CDC, yet again, did not seek out causes for the high autism rate among Somali immigrant children in Minnesota or Sweden despite solemn promises made to the Somali community that the issue would be investigated. Indeed, five full years later, the CDC summed up the “project” by publishing a study24 whose sole contribution was to formally confirm what was already known: The autism rate in the Somali community is significantly higher than average.[p4] No study, VU or otherwise, has even attempted to discover what is causing the high rate of autism in the Somali community.
Date: June 25, 2007
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Website: Carolyn B. Maloney (member of Congress)
https://webcache.googleusercontent.com/search?q=cache:Pz1gbFVVuoUJ:https://maloney.house.gov/media-center/press-releases/legislation-aims-resolve-thimerosal-controversy+&cd=1&hl=en&ct=clnk&gl=il
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Archive:
http://archive.is/pswYi
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Website: Govtrack
https://www.govtrack.us/congress/bills/113/hr1757
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Archive:
http://archive.is/OwI6D
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Page Name: H.R. 3615 - Vaccine Safety Study Act (2017)
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Website: Congress.gov
https://www.congress.gov/bill/115th-congress/house-bill/3615
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Archive:
http://archive.is/Q0V8j
The establishment’s reluctance to conduct a VU study to clarify the association between vaccines and autism, which by this time had reached Washington, led two members of Congress to introduce a bill that would compel the US Department of Health and Human Services (DHHS) to conduct such research. But the bills by Congressional Representatives Caroline Maloney and Dave Weldon (in 2007)25 and Bill Posey (in 2013, and again in 2017)26 puzzlingly failed to gain any traction even in the first phase of the legislative process. The CDC, it seemed, could once more heave a sigh of relief.
Similar to the way the medical establishment avoids actually researching the vaccine–autism connection, it avoids doing VU studies for other chronic conditions and for overall child health as well. So, instead of giving parents the studies they had been demanding for years, vaccine officials commissioned a shiny new IOM report to officially exonerate them for not doing their jobs properly in the past, and excuse them from ever having to in the future.
The public’s growing discontent with the continuing lack of scientific research that examines the effects of the entire vaccine schedule placed US health authorities in an awkward position. The loud and repeated demands of parents and advocacy groups to carry out VU studies were amplified by the internet and shined a spotlight on the weakest part of the fortress surrounding the vaccine program.
Human bodies are incredibly intricate, and the range of effects triggered by vaccinating them is broad and complex. To engage in an educated discussion on the topic, you need a considerable amount of knowledge, some of it quite technical. As such, representatives of the vaccine establishment had the upper hand in most online discussions, easily refuting the average parent’s criticism of the vaccine program. Nevertheless, the “vaccinated vs. unvaccinated studies” argument posed an exceptional challenge to vaccine proponents. Here was an argument that was fairly simple to grasp, one that could be understood by laypeople with limited scientific knowledge as well as medical professionals. Why hadn’t such a study ever been conducted, as they had for cigarette smoking and numerous other health issues? Is there an “inconvenient truth” the medical establishment is keeping under wraps? Questions like these, when left unanswered for too long, raise doubts in parents and erode public confidence in the folks running the vaccine program.
US health authorities had to respond. And what do bureaucrats do when they intend to bury an inconvenient truth? They form a special committee to “investigate” the issue, of course.
And so, in 2009, the Institute of Medicine (IOM) was called in once again to save the day. As described earlier in chapter 2, the IOM is a council of experts advising the federal government on various health issues, including vaccines.
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Archive:
https://drive.google.com/open?id=1no7T_Zx03ToHXlEMGix9miyZMhiRIVtW
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P 20 (37):
On June 2, 2009, the National Vaccine Advisory Committee (NVAC) reviewed the nation’s vaccine safety system and endorsed the recommendation of the NVAC Safety Working Group for an external expert committee, such as a committee convened by the Institute of Medicine (IOM), “with broad expertise in research methodologies, study design, and the ethical conduct of research to consider the strengths and weaknesses, ethical issues and feasibility including timelines and cost of various study designs to examine outcomes in unvaccinated, vaccine-delayed and vaccinated children and report back to the NVAC”
[…]
The National Vaccine Program Office of HHS asked the IOM to convene a diverse committee of experts in pediatrics, neurology, medical ethics, immunology, statistics, epidemiology, and public health to identify study designs feasible to address questions about the safety of the United States’ childhood immunization schedule.
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Archive:
https://drive.google.com/open?id=1no7T_Zx03ToHXlEMGix9miyZMhiRIVtW
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P 21 (38):
Identify potential research approaches, methodologies, and study designs that could inform this question, including an assessment of the potential strengths and limitations of each approach, methodology and design, as well as the financial and ethical feasibility of doing them.
This time around the National Vaccine Program Office in the US Department of Health and Human Services requested the formation of a committee to investigate the current science on the safety of the vaccine schedule and the concerns raised by parents. This request followed a recommendation of the National Vaccine Advisory Committee (NVAC) for an external expert committee to look into this issue.27 In addition, the IOM committee was asked to identify potential research approaches and methodologies that could provide information about the above issue and evaluate them in financial, ethical, and practical terms.28 In other words: the committee was asked to provide an official and persuasive institutional response to the complaints about the absence of VU studies.
After three years of preparations, finally, the committee convened in 2012 and began its proceedings. In addition to work meetings behind closed doors, the committee held a series of open hearings in which public representatives were given the opportunity to voice their concerns. One year later, the committee published its 237-page report.
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Archive:
https://drive.google.com/open?id=1no7T_Zx03ToHXlEMGix9miyZMhiRIVtW
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P 17 (34):
Vaccines have significantly contributed to worldwide reductions in morbidity and mortality by reducing the incidence of serious infectious diseases […]However, as the incidence of vaccine-preventable disease has declined, many do not appreciate the potential of these diseases to reemerge, and the potential adverse effects of the vaccines themselves take on greater saliency among certain stakeholders. Indeed, vaccine safety concerns exist among a diverse range of individuals, institutions, and formal and informal networks worldwide.
It was business as usual. The same unequivocal support for vaccines and the vaccine program expressed in previous vaccine-related IOM reports was evident in the IOM 2013 report as well. The committee proclaimed its allegiance to the institutional dogma on vaccines in the first paragraph of the first chapter of the report: “Vaccines have significantly contributed to worldwide reductions in morbidity and mortality by reducing the incidence of serious infectious diseases. […] However, as the incidence of vaccine-preventable disease has declined, many do not appreciate the potential of these diseases to reemerge, and the potential adverse effects of the vaccines themselves take on greater saliency among certain stakeholders.”29 The opening paragraph clearly marks the path the rest of the report will take. And, indeed, the report’s conclusions, reviewed below, provide firm and unreserved support for institutional lethargy when it comes to investigating the vaccine program as a whole.
Although the IOM 2013 report does not contain any new or particularly interesting information about the benefits of the vaccine program, there are a few good reasons for delving into it. Regarding “the studies that will be never done”, the report formally refines and summarizes the vaccine establishment’s reasons, or excuses, for not doing VU studies. Moreover, the manner in which the committee defends the establishment position actually exposes its weakness for all to see, while at the same time stamping it with an official seal of approval. An in-depth reading of the report reveals numerous contradictions, unreasonable claims, circular arguments, and – above all – an almost desperate effort to legitimize the inaction of the vaccine establishment. To the critical reader, the report appears to be a masterpiece of bureaucratic doublespeak whose sole purpose is to justify and perpetuate the decades-long institutional refusal to study the safety of the vaccine program.
Let’s take a look at some of the more interesting points covered in the report.
For decades, and more frequently in recent years, the medical establishment has been repeating an unvarying message that goes something like this: The childhood routine vaccine program is the best there is. Its safety and effectiveness have been corroborated in countless scientific studies and by thousands of researchers. Therefore, dear parents, go ahead and vaccinate your children according to the recommended schedule, as this is the best action you can take to protect their health.
All of us, from cradle to grave, are steeped in this message, which is disseminated through many different channels: teachers at school, posters at the doctor’s office, articles in lifestyle magazines and news media, TV programs, movies, and the like. All of these informally echo the institutional message, taking its veracity for granted and asking no questions.
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Website: CDC
http://www.cdc.gov/Features/VaccineSafety/
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Archive:
http://archive.is/TJ196
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The safety of vaccines is thoroughly studied before they are licensed for public use. Clinical trials are conducted to evaluate the safety and effectiveness of a vaccine before it can be brought to market. Vaccines are first tested in laboratory studies and animal studies. If the results indicate the vaccine is safe, additional testing in people must be done before the vaccine can be approved by the Food and Drug Administration (FDA).
And what about the establishment itself? By now, you know that the medical establishment does not provide sufficient scientific evidence to support these safety claims, but you might be surprised to learn that government health agencies don’t actually make those guarantees. If you search the websites of the DHHS or the CDC for a statement claiming that the vaccination program of the United States has been tested for its effectiveness and safety, you will not find any. You may come across a webpage asserting that specific vaccines have been tested, individually or with other vaccines given at the same day according to the recommended schedule, or that vaccine adverse events are well monitored.30 But you will not find a clear and explicit statement arguing that the vaccine program as a whole has been properly tested and found to be safe and effective.
In case you were wondering, this is not a coincidence or indicative of negligence on the part of the CDC or DHHS. Of course, it is easy to believe that a government body might be slightly negligent in making important information accessible to the public through its website. But this is not the current case. A formal statement attesting to the scientific validity of the vaccine program as a whole does not appear on health authorities’ websites because these institutions are well aware that it has never been tested. This fact was formally documented in the IOM 2013 report, which details many aspects of the vaccine program that have never been scientifically investigated.
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Archive:
https://drive.google.com/open?id=1no7T_Zx03ToHXlEMGix9miyZMhiRIVtW
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P 5 (22):
No studies have compared the differences in health outcomes that some stakeholders questioned between entirely unimmunized populations of children and fully immunized children.
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Archive:
https://drive.google.com/open?id=1no7T_Zx03ToHXlEMGix9miyZMhiRIVtW
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P 11 28):
Most vaccine-related research focuses on the outcomes of single immunizations or combinations of vaccines administered at a single visit.
Firstly, the report acknowledges that no studies have ever compared the overall health of fully vaccinated children to that of children who have never been vaccinated. In addition, no VU studies have been conducted on specific health outcomes such as autism or autoimmune diseases.31 As a rule, the report elaborates, the recommended schedule in its entirety has not been studied. Instead, most vaccine-related research focuses on individual vaccines or combinations of vaccines administered on the same day as recommended by the CDC.32
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Archive:
https://drive.google.com/open?id=1no7T_Zx03ToHXlEMGix9miyZMhiRIVtW
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P 11 (28):
Thus, key elements of the entire schedule—the number, frequency, timing, order, and age at administration of vaccines—have not been systematically examined in research studies.
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Archive:
https://drive.google.com/open?id=1no7T_Zx03ToHXlEMGix9miyZMhiRIVtW
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P 130 (147):
Even though each new vaccine is evaluated in the context of the overall immunization schedule that existed at the time of review, individual elements of the schedule are not evaluated once it is adjusted to accommodate a new vaccine.
P 31 (48):
Although this process results in an evaluation of whether the observed benefits outweigh the observed risks for the new vaccine and, by extension, for the schedule, it does not include studies specifically designed to test variations in the schedule in an effort to identify the optimal schedule.
What does the committee mean exactly when saying that the recommended schedule as a whole has not been studied? The report clarifies: “[…] key elements of the entire schedule – the number, frequency, timing, order, and age at administration of vaccines – have not been systematically examined in research studies.”33 Furthermore, when a new vaccine is added to the vaccine schedule, no studies are done to examine its effect on the other vaccines on the schedule. Research to evaluate different variations of the schedule, to ensure it is still “optimal” is also never done (and bear in mind that each country implements its own vaccination schedule, with different vaccine products, doses, and timings, etc.).34
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Archive:
https://drive.google.com/open?id=1no7T_Zx03ToHXlEMGix9miyZMhiRIVtW
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P 11 (28):The second major issue that the committee encountered was uncertainty over whether the scientific literature has addressed all health outcomes and safety concerns. The committee could not tell whether its list was complete or whether a more comprehensive system of surveillance might have been able to identify other outcomes of potential significance to vaccine safety. In addition, the conditions of concern to some stakeholders such as immunologic, neurologic, and developmental problems are illnesses and conditions for which etiologies, in general, are not well understood.
But that does not conclude the uncertainty embedded in the vaccination program, the report asserts. Due to a severe lack of relevant scientific research the committee is unable to determine whether vaccine safety concerns have been thoroughly “addressed”. Also, it could not make up its mind whether the introduction of better surveillance systems would lead to the identification of “new” vaccine-related safety issues. Furthermore, the report adds, the underlying causes of some of the adverse health conditions for which concerns have been raised – including immunologic, neurological and developmental problems – are not sufficiently understood by medical science.35
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Archive:
https://drive.google.com/open?id=1no7T_Zx03ToHXlEMGix9miyZMhiRIVtW
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P 11 (28):
Finally, the committee found that evidence assessing outcomes in subpopulations of children who may be potentially susceptible to adverse reactions to vaccines (such as children with a family history of autoimmune disease or allergies or children born prematurely) was limited and is characterized by uncertainty about the definition of populations of interest and definitions of exposures and outcomes.
Another area that is not sufficiently understood, the committee notes, concerns the identification of subpopulations that may be particularly susceptible to vaccine side effects, their characteristics, and specific potential health risks. There is also a shortage of data and diagnostic tools for the early identification of these children, including those born prematurely or those with a family history of autoimmune disease.36
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Archive:
https://drive.google.com/open?id=1no7T_Zx03ToHXlEMGix9miyZMhiRIVtW
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P 11 (28):
In summary, to consider whether and how to study the safety and health outcomes of the entire childhood immunization schedule, the field needs valid and accepted metrics of the entire schedule (the “exposure”) and clearer definitions of health outcomes linked to stakeholder concerns (the “outcomes”) in rigorous research that will ensure validity and generalizability.
“In summary,” the report states, “to consider whether and how to study the safety and health outcomes of the entire childhood immunization schedule, the field needs valid and accepted metrics of the entire schedule [...] and clearer definitions of health outcomes linked to stakeholder concerns […].”37
Evidently, the IOM 2013 report officially confirms the claim made by many parents that the safety of the vaccination program as a whole has never been tested. The committee completely rebuts the omnipresent, yet unofficial, institutional claim that the vaccine program has been thoroughly tested and found to be safe and effective. It unequivocally attests that the program’s overall safety, as well as key aspects such as the impact of a new vaccine, the number of vaccines, administration timing, recognition of side effects, and identification of vulnerable populations have never been systematically and scientifically studied.
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P 22 (39)
The wide gap between the paucity of science verifying the safety of the vaccine program and the medical establishment’s groundless claims of safety is even more puzzling given the huge number of vaccine studies commissioned by the same players in the past few decades. A good example of this is provided courtesy of the committee itself: Since the late 1970s, the IOM has conducted 60 different studies on vaccination. None of them, as the report attests, dealt with the fundamental safety issues discussed above.38
Given the massive uncertainty regarding the risks and benefits of the vaccine program and the growing public criticism of vaccine policy, there seem to be plenty of good reasons for the medical establishment to conduct not one but many VU studies. This type of study would be the best validation for the safety and effectiveness of the vaccine program and provide a credible and persuasive scientific answer to parental doubts.
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P 70-71 (87-88)
Surprisingly, this seemingly self-evident point of view is not shared by the IOM 2013 committee. While it acknowledges the acute lack of research on key aspects of the program and recognizes the importance of these studies in alleviating parental concerns,39 the committee devotes most of its efforts to justifying this lack of science with contorted arguments that these studies should not or cannot be performed:
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P 106 (123):
Likewise, parents of intentionally unvaccinated children are unlikely to allow their children to be randomized to receive vaccines.
Clinical trials of vaccinated vs. unvaccinated subjects cannot be performed as parents should not be forced to either vaccinate or not vaccinate their children.40 Indeed, a clinical trial (RCT) of vaccinated vs. unvaccinated children would not be appropriate as it would require random allocation of participants into trial and control groups. Thus, a child whose parents did not wish to vaccinate could end up in the vaccinated group, and vice versa. The ethicality of such a trial is rather dubious, and in any case, researchers would find it difficult to recruit participants.
However, there are no methodological or ethical barriers to conducting non-randomized prospective VU studies or retrospective VU studies.[q4] One such study is a non-randomized clinical trial (i.e., a prospective study) comparing the health outcomes of vaccinated vs. unvaccinated children over a prolonged period of time. Since it is not randomized – participants would be assigned to the group of their parents’ choice – a trial such as this one would be somewhat inferior to an RCT. Even so, it could provide valuable medical information. Alternatively, retrospective studies of various kinds could be performed. Retrospective research, due to its relatively low cost, is very common in the medical field. A retrospective VU study could examine the medical records of a very large set of children, allocate them to groups according to their vaccination status, and compare various health outcomes between the groups. In fact, most vaccine safety studies, including studies investigating the link between vaccines and autism, are retrospective epidemiological studies of a similar design.
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P 106 (123):
…any child, even the child of a parent who staunchly rejects vaccination, who is randomized to a no-vaccination arm is essentially consigned to an elevated risk of severe illness and even possible death should the child contract a vaccine-preventable disease.
P 107 (124)
The ethics of human experimentation always trump scientific and other considerations, and no study that needlessly endangers children is acceptable.
Not vaccinating children in a prospective medical study would be unethical as it would put them at an elevated risk of contracting vaccine-preventable diseases.41 This argument is logically untenable as it assumes what is yet to be proven. Claiming that not vaccinating children consigns them to “an elevated risk” presupposes that the overall benefit of the vaccine program has already been properly studied and proved to be positive. But that is precisely what a VU study is supposed to test. Put differently, the IOM 2013 report authors claim it is unethical to do a VU study examining the benefits of the vaccine program because we already know that vaccines are beneficial and therefore they cannot ethically be withheld from trial participants. Seeing this logical fallacy in a report authored by senior medical experts is quite astounding, and even more so when you consider that the report explicitly states that proper research into the safety and effectiveness of the vaccination program has never been done.
http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6236a1.htm
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Author/Year: DC, 2013
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Table 1, Vaccine coverage data 2008-2012:
Children who received no vaccinations: 2011 - 0.8%, 2012 – 0.8%
https://beta.health.gov.au/resources/publications/national-vaccine-objection-conscientious-objection-data-1999-to-2015
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Data on conscientious objection for the period 2010-2015, P 2.
This argument is not only nonsensical, it becomes irrelevant as well if the study’s unvaccinated group consists solely of children whose parents were not intending to vaccinate them in the first place. In the United States, for example, it is estimated that 0.8% of children are completely unvaccinated, which translates to about 30,000 children in every birth cohort.42 And in Australia the rate is about 1.5%.43
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P 130 (147):
In summary, to consider whether and how to study the safety and health outcomes of the entire childhood immunization schedule, the field needs… clearer definitions of health outcomes linked to stakeholder concerns…
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P 114 (131).
Original study: Glanz 2013
The term “overall health” is undefined. Therefore, one cannot conduct a VU study of overall health.44 Studies examining the association between smoking and various adverse health conditions were conducted as early as the 1950s. Nowadays, the computer systems used by healthcare providers store a great deal of information about patients. Information reflecting the patient’s level of health is easily extracted from these systems. Key metrics could include the number of doctor visits, hospitalization days, emergency room visits, life-threatening conditions, chronic and disability conditions, medications consumed, and more. Most of these parameters are routinely monitored in vaccine clinical trials, and similar information is gathered in retrospective studies. For example, a US study conducted by Jason Glanz and colleagues that was mentioned in the IOM 2013 report45 looked for a correlation between delaying child vaccination and healthcare utilization rates – hospitalization days, emergency room visits, outpatient visits, and frequency of febrile illnesses.
It is also important to note that the supposed lack of definition for overall health does not apply to VU studies of specific diseases and conditions, such as asthma, diabetes, or autism. These health conditions are well defined with standardized diagnostic codes stored in healthcare providers’ databases.
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P 109 (126) for RCT, P 111 (128) for prospective study.
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P 118 (135):
In addition, the VSD system has a large enough proportion of unvaccinated children to investigate differences in health outcomes of unvaccinated and vaccinated children.
VU studies cannot be performed because there are too few unvaccinated children.46 As noted above, there are at least 30,000 unvaccinated children in every birth cohort in the United States, a small portion of which would be sufficient for an initial VU study. In fact, the IOM 2013 report mentions at least one information system (VSD) that “has a large enough proportion of unvaccinated children to investigate differences in health outcomes of unvaccinated and vaccinated children.”[r4] 47
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On RCT for testing a different vaccination schedule, P 107 (124):
Although it is unobjectionable ethically, the committee considered the time and financial strains resulting from immunization on a dispersed schedule to be too prohibitively costly to recommend pursuing this line of research and, thus, does not endorse this method as a feasible option for studying the recommended immunization schedule.
On Prospective study, P 112 (129):
…the limits of studying distinct subgroups of naturally occurring unimmunized populations, and the high cost of pursuing prospective data collection, the committee does not consider the initiation of new prospective cohort studies to be the most feasible or fruitful approach to studying the recommended immunization schedule at this time.
VU studies are too expensive to conduct.48 The committee claims that VU prospective studies must be conducted over a long period and therefore would be too costly to be feasible; however, the report does not provide financial analysis or any other evidence to support this claim. In addition, the committee seems uninterested in assessing the potential economic benefits of VU studies. The costs of caring for children with chronic diseases are astronomical, and a VU study that could provide important clues toward prevention of these diseases could potentially result in huge economic savings. Moreover, a convincing VU study could also provide scientific proof of the alleged benefit of the vaccine program and (finally) restore skeptical parents’ confidence in vaccines. By doing so, health authorities would presumably save the money that they currently spend trying to persuade these parents to vaccinate their children. Counted among these “persuasion expenses” are the frequent studies performed to better understand parents’ opposition to the current vaccine schedule (more on this below). The IOM 2013 report itself, which presumably cost several million dollars, is another expense directly related to persuasion of reluctant parents. Conducting VU studies would have eliminated the need for the report and would have saved the considerable sums invested in producing it.
In any case, financial costs are not an obstacle to conducting retrospective studies. As you know by now, these studies analyze existing computerized records and are much cheaper to perform than prospective studies. And many dozens of retrospective vaccine studies are conducted annually; the Glanz 2013 study mentioned earlier is but one example. Obviously, allocating funds for retrospective VU studies is economically feasible. It seems the committee agrees with this assertion as the report does not mention retrospective studies in this regard.
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P 108 (125):
Unless researchers somehow accounted for the occurrence of the more serious preventable diseases, it may appear that nonvaccination is “safer” in this respect. To further complicate matters, the rare unvaccinated child in an otherwise heavily vaccinated area will benefit from community immunity and may thus appear to have done better than his or her peers, some of whom will develop adverse effects, such as fever.
Unvaccinated children benefit from the disappearance of vaccine-preventable diseases and therefore a VU study would show biased results.49 According to this claim, unvaccinated children are not currently exposed to the potential harms of vaccine-preventable diseases, while vaccinated children are subject to the side effects of vaccines. Therefore, a health-outcomes comparison would be biased in favor of the unvaccinated. There is a grain of truth in this assertion, as incidence of a few infectious diseases was reduced considerably thanks to vaccines (see chapter 8 for a detailed discussion of the topic).
The above claim is not an argument against doing VU studies, however; it’s just a caveat regarding interpretation of their results. VU studies are essential for true assessment of the overall benefit of the vaccine program at a given point in time. They are especially important now because many parents want to know whether the current vaccine program contributes to children’s health or harms it. These parents argue that the large number of vaccines administered to children may reduce episodes of infectious disease, which are typically short-lived, but greatly increases the incidence of chronic diseases. (For instance, as the McKeever 2004 study in chapter 5 suggests, children may be exchanging a bout of pertussis, which is usually limited to a few weeks of coughing and difficulty breathing, for asthma, which can mean a lifetime of gasping for breath.) According to this argument, reducing the number of child vaccines would serve to improve their overall health. VU studies are essential for providing the public with scientific data on this crucial subject. Once these studies were done and their results analyzed, if it turned out that the unvaccinated were indeed healthier, health authorities would have to reconsider their vaccination policy. They would need to find ways to reduce the damage caused by the vaccine program while doing their best to maintain its disease protection benefits. They would have to look for the optimal tradeoff point between infectious and chronic disease burden, rather than continue to assume that reducing incidence of infectious disease to zero is worth whatever it costs. VU studies are the starting point for this process; if they had been done years ago, as they should have, we would already possess extensive knowledge on the subject.
Having said that, the above argument is irrelevant with respect to the chronic illnesses which are concerning parents. Vaccine-preventable diseases are not considered a significant cause of chronic disease. Measles, whooping cough, diphtheria, chickenpox, and other diseases that children are vaccinated against are not significant factors in the onset of chronic conditions such as diabetes, cancer, autism, and ADHD. That is, unvaccinated children do not benefit from any “protection” from chronic illness supposedly provided to them by their vaccinated friends.
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P 111 (128):
However, such a study would have limited utility to accurately assess differences in health outcomes between unimmunized and fully immunized children... the study would need to account for the many confounding variables that distinguish distinct subgroups of naturally occurring unimmunized populations from the rest of the U.S. population, including lifestyle factors and known genetic variables that may play a role in the development of allergies, asthma, and other conditions.
The results of VU studies would be of no practical significance due to differences in the lifestyles of vaccinated and unvaccinated children.50 According to this argument, there is a high probability that the lifestyle, and perhaps even the genetic makeup, of unvaccinated children is fundamentally different from that of vaccinated children. Therefore, even if a large difference in health outcomes between the groups were found, this would not be of much scientific value as the real (confounding) factors at play could not be determined.
Unvaccinated children, it is claimed, tend to live in families that adhere to a “natural” lifestyle that typically includes prolonged breastfeeding, organic nutrition, reduced exposure to toxins, and herbal medication usage. Hence, if a study showed that unvaccinated children suffered significantly less from, say, autism and ADHD than the vaccinated, vaccines would be blamed when the disparity may actually be due to other aspects of their “natural” lifestyle.
https://www.nejm.org/doi/full/10.1056/NEJMsa0806477
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PMID: 19420367
Lead Author/Year: Saad B. Omer, 2009
Journal: NEJM
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P 3:
The reasons for the geographic clustering of exemptions from school vaccination requirements are not fully understood, but they may include characteristics of the local population (e.g., cultural issues, socioeconomic status, or educational level), the beliefs of local health care providers and opinion leaders (e.g., clergy and politicians), and local media coverage.
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Article Name: Parental Delay or Refusal of Vaccine Doses, Childhood Vaccination Coverage at 24 Months of Age, and the Health Belief Model
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PMID: 21812176
Lead Author/Year: Philip J. Smith, 2011
Journal: Public Health Reports
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P 7, Table 3
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In Canada they can't accurately characterize the non-vaccinating, also.
Article Name: Anti-vaxxers among Canadians of all demographics, poll finds: 'It could be your neighbour. That's the scary thing'
Date: Apr 9, 2012
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Website: USA TODAY
http://news.nationalpost.com/news/canada/anti-vaxxers-among-canadians-of-all-demographics-poll-finds-it-could-be-your-neighbour-thats-the-scary-thing
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This argument, despite its seemingly scientific aroma, is not based on evidence but rather on mere speculation as to the characteristics of households of unvaccinated children. To disqualify the potential value of VU studies on that premise, one must firstly establish that the lifestyle of non-vaccinating families is indeed quite homogeneous. However, studies looking into the characteristics of non-vaccinating or partially vaccinating families have failed to identify common salient features.51 As already mentioned, the number of unvaccinated children in the US population is relatively high – around 30,000 per birth cohort, or 300,000 children up to the age of 10. In the absence of solid evidence to the contrary, it is reasonable to assume that such a large number of children could be stratified in a VU study according to various lifestyle choices. Thus, researchers could make use of conventional epidemiological methods to examine the effects of different lifestyle choices on the measured health outcomes. For example, if a VU study found that the rate of autism in unvaccinated children was significantly lower than in vaccinated children, researchers could perform additional analysis to identify possible confounders. They could, perhaps, divide the unvaccinated group into organic and non-organic food consumers and test the rate of autism in the two groups. If both groups shared a similar autism rate, the researchers could conclude that there was no correlation between the home consumption of organic or non-organic foods and autism. Thus, they could rule out this feature as a cause of autism. Other lifestyle characteristics could be analyzed in a similar fashion. Similar analysis has been carried out for years in numerous epidemiological studies of vaccination, as well as for other health-related topics.[s4] Thus, in order to reject in advance the potential benefit of VU studies, it is necessary to demonstrate that the non-vaccinating population is so homogeneous that there is no possibility of meaningful secondary analysis. As there is no well-founded evidence for high uniformity in the unvaccinated, this argument rests on speculation rather than solid science.
Although the above is quite sufficient to refute the claim in question, it is important to consider it from another angle.
Date: Apr 9, 2012
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Website: USA TODAY
http://usatoday30.usatoday.com/news/health/story/2012-04-09/researchers-autism-causes/54129282/1
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More than $1 billion has been spent over the past decade searching for the causes of autism
As we’ve mentioned before, recent decades have seen a huge increase in the incidence of numerous chronic conditions in children, conditions for which medical science has few answers: no means of prevention, few effective treatments, and no cures. The total societal cost of these conditions – from research on effective treatments, to special education costs and loss of parental work days – is astronomical. Autism is a typical example: Despite the huge sums (over a billion dollars) spent on autism research,52 the medical establishment has yet to identify its root causes, effective treatments, or ways to prevent it.
Yet, astonishingly, the IOM committee advises against doing VU studies, arguing that if such a study indicated that autism was much less common in unvaccinated children there would be no practical use for that information. In other words, the committee opposes studies that could potentially identify a subgroup with a significantly lower autism rate, thereby deliberately cutting off an avenue of research that could provide important clues for solving the autism mystery! Identifying a specific group of children, in this case unvaccinated kids, with a significantly lower-than-average autism rate would constitute a scientific breakthrough and provide a springboard for further research into what exactly makes this group different.[t4] Even if it turned out that the causative factor had nothing to do with vaccines but was due to some other common characteristic – particular genes, organic food consumption, or prolonged breastfeeding, for example – that would still constitute an important breakthrough. To date, medical science has failed to identify any such group, and autism research continues to wander in the dark. Autism, of course, is just one example of many. Identification of a less-affected subgroup could advance the scientific research for many other chronic conditions that, like autism, medical science cannot currently prevent or cure.
* * *
Thus, the contribution of VU research to the scientific understanding of chronic disease would certainly be positive – whether health-related differences were found between the groups or not, and regardless of the homogeneity of the unvaccinated group. Either way, VU studies would tell us more about the causes of the conditions investigated.
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P 13 (30):
Secondary analyses with data from other existing databases similar to VSD would be feasible, ethical, and a lower-cost approach to investigating the research questions that the committee identified, including research on alternative immunization schedules.
[…]
In addition, the committee state that the VSD can be used for Vaccinated-Unvaccinated studies.,
P 116 (135):
To date, the data obtained from VSD have already been used to study health outcomes of children with incomplete immunizations or who may follow alternative schedules, as described above. In addition, the VSD system has a large enough proportion of unvaccinated children to investigate differences in health outcomes of unvaccinated and vaccinated children.
In light of this discussion, it is difficult to fathom the offhand manner in which the committee dismisses the potential benefits of VU studies. It’s almost as if the committee is looking for any excuse to avoid recommending that these studies be done. The committee’s arguments are speculative, not grounded in science, and, ultimately, unconvincing. Thus, contrary to the report protestations, there seems to be no real barrier to conducting VU studies. Support for this comes from a surprising source – the committee itself: “Secondary analyses with data from other existing databases […] would be feasible, ethical, and a lower-cost approach to investigating the research questions that the committee identified, including research on alternative immunization schedules.”53 Thus, the committee contradicts its own arguments and inadvertently exposes the truth: There are no real obstacles to conducting VU studies – other than the demonstrable reluctance of the medical establishment to perform them.
Parents’ criticisms of vaccine science and policy, referred to as “parental concerns” in the report, receive a great deal of attention from the IOM committee. That’s not surprising: After all, it was growing parental criticism of the vaccine program that led to the IOM 2013 committee in the first place, as well as all the other IOM committees that grappled with vaccine safety issues over the past 15 years.
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P 10 (27):
These concerns were not expressed by clinicians, public health personnel, or policy makers in the committee’s review. Among the last three groups, the childhood immunization schedule is considered one of the most effective and safest public health interventions available to prevent serious disease and death.
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P 66 (83):
…the testimony of many individuals and organizational representatives revealed a lack of trust in the quality and thoroughness of vaccine safety research
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P 18 (35):
As the number of recommended vaccines has increased in recent years, some parents and advocacy groups have expressed the concern that the immunization schedule is too crowded and complex…
These concerns are not shared by the medical establishment and its representatives, it seems. As the committee notes, the parental concerns “were not expressed by clinicians, public health personnel, or policy makers in the committee’s review. Among the last three groups, the childhood immunization schedule is considered one of the most effective and safest public health interventions available to prevent serious disease and death.”54 Contrary to the confidence the medical establishment shows in the vaccine program, the report continues, many parents express distrust “in the quality and thoroughness of vaccine safety research.”55 The problem, then, in the committee’s eyes, is not the vaccine safety science per se, as the professionals evidently stand behind it, but rather the parents’ distrust of that science. The motivation for setting up the committee was, then, the institutional desire to dispel those supposedly unfounded parental concerns.56
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P 62 (79):
Two-thirds of these articles were categorized as studies of parental concerns about either safety (n = 26) or communication between providers, public health authorities, and parents (n = 31).
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PMID: 24590751
Lead Author/Year: B Nyhan, 2014
Journal: Pediatrics
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Article Name: Physician Communication Training and Parental Vaccine Hesitancy: A Randomized Trial
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PMID: 26034240
Lead Author/Year: NB Henrikson, 2015
Journal: Pediatrics
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Article Name: The Influence of Provider Communication Behaviors on Parental Vaccine Acceptance and Visit Experience
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PMID: 25790386
Lead Author/Year: DJ Opel, 2015
Journal: American Journal of Public health
As we know, this institutional desire to allay parents’ concerns about the safety of vaccines is long-standing. The report notes that between 2002 and 2012, at least 26 studies examined parental concerns with vaccine safety, and 31 additional studies looked into various aspects of vaccine-related communications between health providers and parents.57 Studies of this sort are still frequently funded by health authorities.58
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P 127 (144):
The committee notes that stakeholder concerns may be used to drive a search for scientific evidence (biological or epidemiological), although such concerns would not be sufficient motivation to embark on costly clinical research, such as new randomized controlled trials or cohort studies.
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Recommendation 4-1, P 129 (146)
Although the committee is well aware of the copious amounts of money spent studying parental concerns and “vaccine-related communication”, it argues that those do not constitute sufficient justification for conducting “expensive” VU studies.59 In other words, it’s appropriate to fund dozens of “parental concern” and “vaccine communication” studies – as well as a multitude of vaccine safety-related IOM committees that cost millions each – but no funding should go to “costly” research that actually addresses parents’ concerns. Even worse, at the same time the committee discourages doing the “expensive” VU studies parents want, it recommends further study aimed at improving communication between parents and health providers and building parental trust in the safety of the vaccine program.60
From start to finish, the circumstances surrounding the IOM 2013 committee – the motivation for its formation, its mandated activity, the report it produced, and its conclusions – indicate a bureaucratic effort to bury an inconvenient truth.
Firstly, as already mentioned, forming a committee is a well-known bureaucratic tactic to appear to be “doing something” while not actually doing anything. Rather than fund a useful series of VU studies – of Amish communities, of the Minnesota Somali community, of Mayer Eisenstein’s patients, and of the VSD system (all of which were possible) – US health authorities established a committee whose job was to convince the public that such research cannot be done.
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P 20 (37):
The NVAC report stated that “the strongest study design, a randomized clinical trial that includes a study arm receiving no vaccine or vaccine not given in accord with the current recommended schedule, is not ethical, would not pass Institutional Review Board (IRB) review, and cannot be done”… Furthermore, it may be impossible to draw unbiased results from an observational study of this issue because of potential differences in baseline health and social characteristics of populations and subgroups.
Secondly, the committee’s conclusions were most likely predetermined since the body that commissioned their work – the National Vaccine Advisory Committee (NVAC) – had already produced its own report concluding that VU studies were either unethical or inappropriate. In a 2009 report, the NVAC stated that a VU randomized clinical trial (RCT) would be unethical and that VU observational studies would draw biased results.61 Evidently, and not unexpectedly, the IOM 2013 committee did not venture outside the boundaries drawn by its commissioning body.
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P 127 (144):
The committee made a judgment based on the literature that failed to link adverse effects to schedule exposures or multiple immunizations, concluding that there is no evidence that the schedule is not safe.
And thirdly, although the committee acknowledges that adequate research into the safety of the vaccine program was never done, it maintains that the program is safe as “there is no evidence that the schedule is not safe.”62 The intrinsic contradiction of this conclusion is obvious: How could the committee determine that the recommended schedule is safe when it knows the studies that could demonstrate that safety have never been done?!
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P 127 (144):
The committee recognized that final decisions about research studies must await knowledge of further evidence, including biological plausibility and/or epidemiological evidence, feasibility, cost, and the exact circumstances of stakeholder concerns, before the planning and conduct of specific research projects.
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P 132 (149):
The committee recognizes that the establishment of priorities for research will be a challenge. Thus, the committee proposes a process for setting priorities that recognizes stakeholder concerns and establishes these priorities on the basis of epidemiological and other evidence (based on formal systematic reviews), biological plausibility, and feasibility.
The acute lack of proper research validating the safety of the vaccine program apparently doesn’t bother the committee. This paucity in vaccine safety science should have prompted the committee to sound the alarm and call for immediate action to bridge the great knowledge gap. But the studies it recommends are not VU studies – or even any other vaccine safety studies. Rather, the committee calls for various preliminary studies to be carried out before even deciding whether or not to study the safety of the vaccine schedule.63 And lest anyone reading the report infer any hint of urgency from the above recommendation, the committee is quick to correct that impression: Even before approaching these “preliminary studies”, they must be prioritized. And the prioritization process, the committee notes, may prove to be “a challenge” (so be patient, everyone).64
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Recommendation 4-1, P 129 (146):
Recommendation 4-1: The committee recommends that the National Vaccine Program Office systematically collect an