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Record W2085576662 · doi:10.2217/fvl.14.91

Human Papillomavirus Vaccination for Men: Advancing Policy and Practice

2014· article· en· W2085576662 on OpenAlexafffund
Peter A. Newman, Ashley Lacombe‐Duncan

Bibliographic record

VenueFuture Virology · 2014
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsHuman papillomavirusVaccinationVirologyMedicinePolitical scienceInternal medicine

Abstract

fetched live from OpenAlex

The quadrivalent HPV vaccine (HPV4) is safe and highly efficacious, and can significantly reduce the burden of HPV-related genital warts and cancers among men, in addition to promoting herd immunity. Nevertheless, HPV4 coverage among boys remains low in most settings. Research to date has focused predominantly on HPV vaccination of girls to prevent cervical cancer. Most countries with publicly funded healthcare where HPV4 is licensed cover the costs of HPV vaccination programs for girls only. We critically review the evidence for extending publicly funded HPV vaccination programs to boys in addition to girls. After an overview of research on HPV prevalence and associated cancers among men, we review cost–effectiveness studies, benefits of universal versus targeted vaccination approaches and multifaceted health equity concerns, along with directions in vaccine delivery programs and intervention research to promote HPV vaccine uptake for boys. Comprehensive evaluation of the systematic exclusion of boys from publicly financed HPV vaccination programs is warranted given tremendous public health implications of new infections and subsequent cancers that could have otherwise been averted.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.895
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.399
Teacher spread0.382 · 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 designNot applicable
Domainnot available
GenreEmpirical

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

Citations11
Published2014
Admission routes2
Has abstractyes

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