[Prevalence of viral hepatitis B and C in men who have sex with men enrolled in a demonstration study of pre-exposure prophylaxis for HIV in Cotonou, Benin].
Bibliographic record
Abstract
Introduction: men who have sex with men (MSM) are disproportionately affected by hepatitis B virus (HBV) and hepatitis C virus (HCV) worldwide. In Benin, there are no data on MSM. The purpose of this study was to estimate HBV and HCV prevalence and HBV-associated factors in MSM who were HIV negative. Methods: we conducted an analytical cross-sectional study. A two-degree random sampling was used to recruit 204 MSM. An immunochromatographic rapid test and enzyme immunoassays were used to detect HBV and HCV antigens/antibodies. Log-binomial regression was used to identify factors associated with HBV. Results: HbsAg positivity, history of hepatitis B infection and hepatitis C prevalences were 37.7%, 8.8 %, and 0.9 %, respectively. HBsAg positivity and history of hepatitis B were more prevalent in MSM aged ≥30 years compared to younger subjects: 16.7% versus 6.4% (p<0.0001) and 66.7% versus 28.8% (p<0.0001), respectively. Sexual intercourse under the effect of drug or alcohol and living in couple were also associated with HBV. conclusion: the prevalence of hepatitis C was low, but hepatitis B was common, especially among older MSM. Screening and vaccination against hepatitis B should be strengthened in this population.
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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 | 0.000 | 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) | 0.002 | 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".