Prevalence and determinants of high-risk human papilloma virus among men who have sex with men in Benin: a cross-sectional study embedded in a demonstration project on pre-exposure prophylaxis against HIV
Bibliographic record
Abstract
OBJECTIVES: This study aims to assess the prevalence and factors associated with anal high-risk human papilloma virus (HR-HPV). DESIGN: A cross-sectional study conducted from 24 August 2020 to 24 November 2020. SETTING: Primary care, Cotonou, Benin. PARTICIPANTS: 204 HIV-negative men who have sex with men initiating oral pre-exposure prophylaxis. PRIMARY OUTCOME MEASURE: Anal HR-HPV genotypes using GeneXpert HPV assay. Fourteen HR-HPV were evaluated: HPV-16 and HPV-18/45 in 2 distinct channels and the 11 other genotypes as a pooled result (31, 33, 35, 39, 51, 52, 56, 58, 59, 66 and 68). The potential independent variables analysed included anal gonorrhoea and chlamydia infections, and sociodemographic and sexual behaviour factors. To assess the determinants of HR-HPV, univariate and multivariate Poisson regression models were performed by using SAS V.9.4. RESULTS: Mean age±SD was 25.9±4.8 years. 131/204 men claimed insertive sex procured more pleasure. Thirty-two participants, accounting for 15.7% of the study sample, had gonorrhoea and/or chlamydia. The prevalence of any HR-HPV genotype was 36.3% (95% CI 30.0% to 43.0%). In total, 7.8% of men had HPV-16 and 7.4% had HPV-18/45. The prevalence for the pooled genotypes (31, 33, 35, 39, 51, 52, 56, 58, 59, 66 and 68) was 29.9%. Receptive anal sex during the last 6 months was strongly associated with prevalent HR-HPV infections. The adjusted proportion ratio (aPR) was 1.93 (95% CI 1.31 to 2.83). Gonorrhoea and chlamydia were also associated with the outcome of interest; p value for both infections was <0.05. The aPR comparing patients who perceived some risk of acquiring HIV to other men was 1.44 (95% CI 1.00 to 2.08). CONCLUSIONS: In Benin, anal HR-HPV was common among HIV-negative men who have sex with men. Among this highly vulnerable population, there is a need for integrated preventive and management strategies targeting HPV and other sexually transmitted infections.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".