Prevalence and Risk Factors for Neutralizing Antibodies to Human Papillomavirus Types 16 and 18 in HIV-Positive Men Who Have Sex With Men
Bibliographic record
Abstract
OBJECTIVE: Human papillomavirus (HPV) vaccination is routinely recommended in HIV-positive men who have sex with men (MSM) aged ≤ 26 years. Levels of previous HPV exposure in older HIV-positive MSM are assumed to be too high to warrant routine HPV vaccination. However, little is known about the prevalence of and risk factors for neutralizing antibody seropositivity to HPV-16 or HPV-18, a key measure of previous exposure to these types. METHODS: Cross-sectional analysis of baseline visit for 296 HIV-positive MSM participating in a prospective cohort study of anal squamous intraepithelial lesions at a university-based research clinic. Participants completed a questionnaire detailing behaviors and medical history. Phlebotomy, anal cytology, HPV DNA testing with quantitation, and high-resolution anoscopy with biopsy were performed. A pseudovirion-based neutralizing antibody assay was used to measure HPV-16 and HPV-18 neutralizing antibodies. RESULTS: One hundred thirty-two of 296 (45%) men were HPV-16 seropositive and 141 of 296 (48%) were HPV-18 seropositive. One hundred seventy-five of 296 (59%) of the men were positive for HPV-16 antibodies or DNA and 167 of 296 (56%) were positive for HPV-18 antibodies or DNA. In multivariable analysis, HPV-16 seropositivity did not correlate with age, years of HIV positivity, CD4 level, or HIV viral load. Significant risk factors included HPV-16 DNA positivity with higher DNA levels (ptrend < 0.001) and higher number of receptive sexual partners in the last year (ptrend = 0.012). CONCLUSIONS: A high proportion of HIV-positive MSM aged >26 years are DNA negative and seronegative to HPV-16 and HPV-18 even when using a sensitive pseudovirion-based neutralizing antibody assay. Prospective studies are needed to determine the clinical- and cost-effectiveness of HPV vaccination in HIV-positive MSM aged >26 years.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".