Smoking and Time to Clearance of Human Papillomavirus Infection in HIV-Seropositive and HIV-Seronegative Women
Bibliographic record
Abstract
Persistent human papillomavirus (HPV) infection seems central to cervical carcinogenesis. Smoking is associated with cervical cancer in HPV DNA-positive women, but its association with HPV persistence is unclear, particularly with respect to human immunodeficiency virus (HIV) serostatus. The authors evaluated smoking and HPV clearance by HIV serostatus among 801 women from the HIV Epidemiology Research Study (United States, 1993-2000). Type-specific HPV duration was defined as the interval between initial MY09/11 polymerase chain reaction positivity and the first of two consecutive HPV-negative study visits. Hazard ratios adjusted for study site and risk behaviors (sexual activity or injection drug use) were estimated using Cox regression. This analysis included 522 HIV-seropositive and 279 HIV-seronegative women (median follow-up, 4.4 years). Ever smoking was associated with reduced clearance of high-risk HPV in HIV-seronegative women (hazard ratio (HR) = 0.51, 95% confidence interval (CI): 0.30, 0.88) but not in HIV-seropositive women (HR = 0.96, 95% CI: 0.65, 1.42); similar results were found for current smoking. Current smoking was not associated with clearance of any type-specific HPV in HIV-seropositive (HR = 0.99, 95% CI: 0.82, 1.20) or HIV-seronegative (HR = 0.93, 95% CI: 0.68, 1.26) women. HPV clearance did not appear to vary by amount or duration of smoking. Smoking did not modify overall clearance but was associated with lower high-risk HPV clearance in HIV-seronegative women.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".