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Record W2896850619 · doi:10.1016/j.jogc.2018.05.024

A Review of the Impact and Effectiveness of the Quadrivalent Human Papillomavirus Vaccine: 10 Years of Clinical Experience in Canada

2018· review· en· W2896850619 on OpenAlexafffundvenueabout
Marc Steben, Mattea Tan Thompson, Caroline Rodier, Nathalie Mallette, Voica Racovitan, Fern DeAngelis, Melissa Stutz, Emmanouil Rampakakis

Bibliographic record

VenueJournal of Obstetrics and Gynaecology Canada · 2018
Typereview
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsMerck Canada Inc. (Canada)
FundersMerck Canada
KeywordsMedicineVaccinationIncidence (geometry)Public healthImmunizationHPV infectionCervical cancerHuman papillomavirusCervical intraepithelial neoplasiaHPV vaccinesFamily medicineInternal medicineImmunologyCancer

Abstract

fetched live from OpenAlex

Publicly funded administration of the quadrivalent HPV (qHPV) vaccine in school-aged girls was implemented for all Canadian provinces and territories between 2007 and 2009. However, the impact of female qHPV vaccination in Canada has yet to be evaluated. This systematic literature review of studies published between September 1, 2006 and September 1, 2016 looked at real-world evidence related to the effects of qHPV vaccination on prevalence of HPV infection and disease in Canada over the past decade. PubMed was searched for studies published between September 1, 2006 and September 1, 2016. Studies were eligible if one or more of the following outcomes were assessed in individuals receiving the qHPV vaccine though public immunization programs: HPV infection, anogenital warts (AGW), HPV-associated lesions of the anogenital tract. A "pre-public vaccination program" or "unvaccinated" reference group was required. Key HPV conference abstracts were also reviewed. We identified seven eligible studies representing five Canadian provinces. Results reported indicated that the prevalence of HPV types 6, 11, 16, and 18 was lower in qHPV-vaccinated than unvaccinated individuals (1.5% vs. 11.0%, respectively), whereas non-vaccine-covered genotypes were comparable across vaccination status. Risk of AGW incidence decreased by up to 45% in vaccinated cohorts; incidence of cervical intraepithelial neoplasia 2 + was significantly reduced by up to 86% in the post-vaccine era. On the basis of these findings, HPV vaccination programs constitute a successful and effective public health initiative.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.805
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.077
GPT teacher head0.432
Teacher spread0.355 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreReview

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

Citations55
Published2018
Admission routes4
Has abstractyes

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