HSV-2 infection and HPV incidence, persistence, and precancerous lesions in a cohort of HPV-vaccinated women living with HIV
Bibliographic record
Abstract
BACKGROUND: Several co-factors for HPV oncogenesis have been proposed, including co-infection with HSV-2. We assessed the relationship between HSV-2 infection and HPV-related outcomes in quadrivalent HPV-vaccinated (qHPV) women living with HIV (WLWH). METHODS: In this multi-site study of immunogenicity and efficacy of the qHPV vaccine in WLWH, visits took place at months -3, 0, 2, 6, 12, 18, 24, and annually thereafter. Participants provided clinical data and cervico-vaginal swabs for HPV DNA detection; baseline serum was tested for HSV-2 type-specific antibodies. We used non-parametric statistics to compare HPV-related outcomes by HSV-2 serostatus and use of anti-HSV medication. RESULTS: = 0.006). Controlling for age and median CD4 count, HSV-2 seropositivity was not associated with HPV incidence, persistence, and precancerous lesions. The use of anti-HSV medications was associated with higher odds of HSIL cytology (OR = 3.35, 95% CI = 1.03,11.26) and a greater number of HPV types detected (OR = 1.18, 95% CI = 1.00,1.39). Results were similar in sensitivity analyses using an index value of 3.5. The presence of HSV lesions during the study was not associated with HPV outcomes. CONCLUSIONS: HSV-2 seropositivity was common in this cohort of WLWH in Canada but was not associated with multiple measures of HPV incidence, persistence, and precancerous lesions. However, the use of anti-HSV medications was associated with HSIL cytology and number of HPV types detected.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".