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Record W2290284916 · doi:10.1080/21645515.2015.1112474

HPV Vaccination for MSM: Synthesis of the evidence and recommendations from the Québec Immunization Committee

2015· review· en· W2290284916 on OpenAlexaffabout
Chantal Sauvageau, Christine Dufour-Turbis

Bibliographic record

VenueHuman Vaccines & Immunotherapeutics · 2015
Typereview
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsUniversité LavalInstitut National de Santé Publique du QuébecCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsVaccinationImmunizationHerd immunityMen who have sex with menMedicinePopulationHPV vaccinesHuman papillomavirusEnvironmental healthDemographyVirologyImmunologyHPV infectionCervical cancerCancerHuman immunodeficiency virus (HIV)Internal medicineAntibody

Abstract

fetched live from OpenAlex

Diseases associated with the human papilloma virus (HPV) are particularly common among men who have sex with men (MSM). Unlike heterosexual men, MSM do not benefit from the herd protection provided by the vaccination of girls. In this review, we synthesize the available evidence on HPV vaccination for MSM. We also present the recommendations of the Québec Immunization Committee (CIQ) in this regard, which are: to provide targeted vaccination for MSM up to 26 years of age and in-school vaccination of preadolescent boys since this is the best approach to take to have a real impact on the burden related to HPV in the MSM population and to provide direct protection for all men.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.612
Threshold uncertainty score0.771

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.027
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0100.009
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0030.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.191
GPT teacher head0.437
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
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

Citations18
Published2015
Admission routes2
Has abstractyes

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