Influence of Partner's Infection Status on Prevalent Human Papillomavirus Among Persons With a New Sex Partner
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: We evaluated the influence of the partner's human papillomavirus (HPV) status and sexual practices on prevalent HPV infection among new couples to study HPV transmission. METHODS: Women attending university or college in Montreal, Canada, and their male partners (N = 263 couples) were enrolled in 2005-2008. HPV typing was done in self-collected vaginal swabs and clinician-collected penis and scrotum swabs. The outcome measures were overall and type-specific HPV prevalence. RESULTS: HPV was detected in 56% of women and men. Prevalence was higher among persons with infected partners (85%) than in those whose partners were negative (19%). Type-specific detection was substantially higher among women (OR = 55.2, 95% CI: 38.0-80.1) and men (OR = 58.7, 95% CI: 39.8-86.3) if their partner harbored the type under consideration. Prevalence among women and men with 10 or more lifetime partners was 15.4 (95% CI: 5.9-40.2) and 9.5 (95% CI: 4.4-19.8) times higher than among those with 1 partner. Frequent condom use was protective in men, particularly if his partner was HPV-infected (OR = 0.64, 95% CI: 0.50-0.82). This effect was attenuated among women with an infected partner (OR = 0.88, 95% CI: 0.69-1.11). CONCLUSIONS: The current partner's status was the most important risk factor for prevalent HPV infection. Condoms exerted a stronger protective effect among men than among women.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it