Men who have sex with men and transgenders in Mumbai, India: An emerging risk group for STIs and HIV
Bibliographic record
Abstract
BACKGROUND: Men who have sex with men and transgenders are an important risk group for sexually transmitted infections (STIs) and human immunodeficiency virus (HIV). They have risky sexual behaviors but low risk perception. OBJECTIVES: To assess the sexual behavior, STIs, HIV and identify factors associated with HIV in men who have sex with men (MSM) and transgenders (TGs) in Mumbai. METHODS: Participants were enrolled from two clinics in Mumbai. They completed an interviewer-administered questionnaire and were evaluated for STIs and HIV infection. RESULTS: A total of 150 participants, 122 MSM and 28 TGs were evaluated; 17% of MSM and 68% of the TGs were HIV infected. HIV infection in MSM was associated with serological positivity for HSV2 IgG [adjusted odds ratio (aOR), 95% confidence interval (CI): 9.0 (2.2-36.9)], a positive Treponema pallidum hemagglutination assay (TPHA) [aOR (95% CI): 6.0 (1.5-24.0)], greater than five acts of receptive anal sex in the past six months [aOR (95% CI): 4.3 (1.2-15.0)] and per category increase in age (18-24 yrs, 25-29 yrs, > 30 yrs) [aOR (95% CI): 3.1 (1.3-7.1)] in multivariate analysis. Consistent condom use during receptive anal sex in the past six months was low (27%). Many MSM were married (22%) or had sex with females and may act as a 'bridge population'. HIV infection in TGs was associated with a positive TPHA [OR (95% CI): 9.8 (1.5-63.9)] and HSV 2 IgG [OR (95% CI): 6.7 (1.1-40.4)] in univariate analysis. CONCLUSION: Prior STIs were strongly associated with HIV infection in MSM and TGs. These groups should be the focus of intensive intervention programs aimed at STI screening and treatment, reduction of risky sexual behavior and promotion of HIV counseling and testing.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".