Increased Risk of HIV Acquisition among Kenyan Men with Human Papillomavirus Infection
Bibliographic record
Abstract
BACKGROUND: Few data on the effect of human papillomavirus (HPV) infection on human immunodeficiency virus (HIV) acquisition are available. METHODS: HIV-seronegative, sexually active, 18-24-year-old Kenyan men participating in a randomized trial of male circumcision provided exfoliated penile cells from 2 anatomical sites (glans/coronal sulcus and shaft) at baseline. The GP5+/6+ polymerase chain reaction assay ascertained a wide range of HPV DNA types at the baseline visit. The risk of HIV infection was estimated using Kaplan-Meier methods and hazard ratios from proportional hazards models. RESULTS: Of 2168 uncircumcised men with baseline HPV data, 1089 (50%) were positive for HPV DNA. The cumulative incidence of HIV infection by 42 months was 5.8% (95% confidence interval [CI], 3.6%-7.9%) among men with HPV-positive glans/coronal sulcus specimens, versus 3.7% [95% CI, 1.8%-5.6%] among men with HPV-negative glans/coronal sulcus specimens (P = .01). Controlling for subsequent circumcision status, baseline herpes simplex virus type 2 serostatus, and sexual and sociodemographic risk factors, the hazard ratio for HIV infection among men with HPV-positive glans/coronal sulcus specimens was 1.8 (95% CI, 1.1-2.9), compared with men with HPV-negative glans/coronal sulcus specimens. CONCLUSION: The results suggest an independent increased risk of HIV seroconversion among HPV-positive men. If this finding is confirmed in other studies, HPV prevention could be another tool for HIV prevention.
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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 | 0.002 |
| 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) | 0.003 | 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".