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No autoimmune safety signal after vaccination with quadrivalent HPV vaccine Gardasil?

2012· letter· en· W1821421213 on OpenAlexaff
Lucija Tomljenovic, C. Shaw

Bibliographic record

VenueJournal of Internal Medicine · 2012
Typeletter
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineGardasilVaccinationVaccine safetyFamily medicinePopulationAdverse effectImmunologyEnvironmental healthImmunizationInternal medicineAntibodyCervical cancerCancer

Abstract

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Dear sir, Recently, the Journal of Internal Medicine published a study by Chao et al. [1] on autoimmune conditions following the routine use of Gardasil, which failed to identify any significant autoimmune safety concerns. This study was conducted in collaboration between two managed care organizations, Kaiser Permanente Southern California (KPSC) and Kaiser Permanente Northern California (KPNC), as a postlicensure commitment to the FDA, the European Medicines Agency (EMA) and other regulatory authorities to help evaluate the autoimmune safety of the vaccine. In particular, Chao et al. [1] noted that ‘well-designed postlicensure safety studies for newly approved vaccines facilitate proper evaluation of their autoimmune safety’ [emphasis added]. We certainly do agree with the authors that such studies are needed for determining whether or not new vaccines have adequate safety profiles. The study population for the autoimmune surveillance by the Kaiser’s research team thus included 189 629 women of diverse ethnical and socio-economic background, 99% of whom were in the recommended age range for HPV vaccination (9–26 years) [1]. Nonetheless, two potential biases might have influenced the outcome of the safety analysis conducted by the authors. First, the study included all women who received at least one dose of Gardasil, thus making this particular population sample less sensitive for the detection of serious adverse reactions (ADRs), as such events may be expected to occur less frequently if fewer doses of the vaccine are administered. As the authors did not report how many women actually completed the recommended three-dose HPV vaccination regimen, it is impossible to know what proportion of the study population was actually at high risk from vaccine-related serious ADRs. Secondly, the Safety Review Committee (SRC) that reviewed all safety data included a general paediatrician/clinical epidemiologist, a perinatologist/teratologist, a vaccinologist, a paediatric rheumatologist and a pharmacoepidemiologist [1]. In view of the fact that the autoimmune conditions of interest to be examined by this expert Committee included (i) rheumatologic/autoimmune disorders, (ii) autoimmune endocrine conditions and (iii) autoimmune neurological/ophthalmic disorders [1]; the question must be asked about why the Kaiser’s research team failed to recruit an expert panel with similar expertise if, in fact, the study aimed to facilitate proper evaluation of autoimmune safety for Gardasil? It is thus surprising to note the absence of an immunologist/autoimmunologist, neurologist and ophthalmologist from the SRC especially because such experts were in fact present at a later stage, in the analysis of case reports selected by the SRC [1]. As demonstrated repeatedly in the scientific literature, inadequately designed research cannot be used to reliably evaluate the safety of any drug [2,3]. We have previously pointed out to existing HPV vaccine-related safety concerns as well as uncertainties about the efficacy of HPV vaccination against actual cervical cancer incidence [3, 4]. Whilst results from clinical trials show that Gardasil can reduce the incidence of a subset of abnormal CIN 2/3+ cytologies (i.e. those related to HPV-16/18) in women with no pre-existing HPV infections [5], the vaccine is unlikely to reduce the overall frequency of cervical cancers (at least not beyond what Pap screening has already accomplished) [6, 7], yet this is the primary aim for which the vaccine was developed [8]. Furthermore, current data show that antibodies against HPV-18 after Gardasil fall rapidly, with 35% of women having no measurable antibody titres by 5 years postinjection [6]. This outcome suggests that rather than preventing future cases of cervical cancer, Gardasil, at best, may only be effective in postponing them. In addition, unlike screening and the loop electrosurgical excision procedure (LEEP), Gardasil offers no therapeutic benefits as it cannot cause regression of pre-existing HPV-16/18 infections or associated lesions. On the contrary, Gardasil may exacerbate cervical cancer disease in women with pre-existing HPV-6/11/16/18 infections [5]. It thus appears that the current widespread optimism regarding the putative long-term benefits of HPV vaccination has only been made possible by invalid and premature extrapolations from such often inadequate surrogate markers [3, 9, 10]. As recently noted by Gerhardus and Razum [9], the, ‘unwarranted confidence in the new [HPV] vaccines led to the impression that there was no need to actually evaluate their effectiveness’. On the other hand, abundant evidence now exists that HPV vaccines can cause serious adverse events, including death and long-term disabling autoimmune conditions [3, 6]. Moreover, because currently there are no active surveillance programs for monitoring vaccine safety outcomes anywhere in the world, the true rate of serious ADRs following Gardasil remains unknown. In context, whilst 12-year-old preadolescents are at zero risk of dying from cervical cancer, they are faced with a risk of death and a permanently disabling lifelong autoimmune or neurodegenerative condition from a vaccine that thus far has not prevented a single case of cervical cancer, let alone cervical cancer death. For vaccines with uncertain benefits designed to prevent a disease that is already preventable by Pap screening and LEEP, both of which carry no such risks, the potential for harm to those vaccinated should be negligible [3, 4]. LT and CAS conducted a histological analysis of autopsy brain samples from a Gardasil-suspected death case. This work was supported by the Katlyn Fox, Lotus and the Dwoskin Family Foundations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.274
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.1180.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.312
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2012
Admission routes1
Has abstractyes

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