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HPV vaccination for prevention of head and neck cancer among men

2023· review· en· W4387072763 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Nurse Practitioner · 2023
Typereview
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsRockyview General HospitalUniversity of Alberta
Fundersnot available
KeywordsVaccinationMedicineHead and neck cancerIncidence (geometry)Human papillomavirusHPV infectionCancer preventionHead and neckCancerHPV vaccinesPublic healthOncologyCervical cancerImmunologyInternal medicineSurgeryPathology

Abstract

fetched live from OpenAlex

ABSTRACT: The incidence of human papillomavirus (HPV)-associated head and neck cancer (HNC) has been rapidly increasing in developed countries, with HPV-associated HNC now accounting for 70% of all HNC cases. An increased incidence has been noted particularly among males. The disparities in HPV vaccine uptake rates and the increasing number of individuals with HPV-associated HNC suggest a lack of public awareness of both HPV sequelae and prevention options. This review highlights the importance of prophylactic HPV vaccination for preventing HPV-associated HNC, particularly in males. Current evidence substantiates the need for gender-neutral HPV vaccination programs and reinforces the recommendations made by the CDC. This article raises awareness of the association between HPV and HNC as well as the effectiveness of HPV vaccination in HNC prevention.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0030.000

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 head0.137
GPT teacher head0.489
Teacher spread0.352 · 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