Higher HPV16 and HPV18 Penile Viral Loads Are Associated With Decreased Human Papillomavirus Clearance in Uncircumcised Kenyan Men
Bibliographic record
Abstract
BACKGROUND: Whether higher penile human papillomavirus (HPV) viral load is associated with a lower rate of HPV clearance remains unknown. OBJECTIVES: We examined the association between penile HPV16 and HPV18 viral load and subsequent HPV clearance in uncircumcised Kenyan men. STUDY DESIGN: Participants were human immunodeficiency virus (HIV)-seronegative, sexually active, 18- to 24-year-old men randomized to the control arm of a male circumcision trial in Kisumu, Kenya. Men provided exfoliated penile cells from two anatomical sites (glans/coronal sulcus and shaft) every 6 months for 2 years. GP5+/6+ polymerase chain reaction was used to identify 44 HPV-DNA types. Human papillomavirus viral load testing was conducted using a LightCyler real-time polymerase chain reaction assay; viral load was classified as high (>250 copies/scrape) or low (≤250 copies/scrape), for nonquantifiable values. The Kaplan-Meier method and Cox regression modeling were used to examine the association between HPV viral load and HPV clearance. RESULTS: A total of 1097 men, with 291 HPV16 and 131 HPV18 cumulative infections over 24 months were analyzed. Human papillomavirus clearance at 6 months after first HPV detection was lower for high versus low viral load HPV16 infections in the glans (adjusted hazard ratio [aHR], 0.65; 95% confidence interval [CI], 0.46-0.92)] and shaft (aHR, 0.44; 95% CI, 0.16-0.90), and HPV18 infections in the glans (aHR, 0.05; 95% CI, 0.01-0.17). DISCUSSION: High versus low HPV viral load was associated with a reduced HPV clearance for HPV16 infections in the glans and shaft, and for HPV18 infections in the glans, among young uncircumcised men. Reduced clearance of high viral load HPV16 and HPV18 infections in men may increase HPV transmission to their female partners as well as enhance the development of penile lesions in comparison to men with low viral load HPV 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 | 0.001 | 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".