The prevalence and correlates of hepatitis C virus (HCV) infection and HCV–HIV co-infection in a community sample of gay and bisexual men
Bibliographic record
Abstract
OBJECTIVE: To describe hepatitis C virus (HCV) and HIV prevalence and co-infection, and to examine variables associated with infection in a community sample of men who have sex with men (MSM). METHODS: Data were from an anonymous, cross-sectional study (N=5080) in Canada. Men self-completed a questionnaire and provided an optional saliva specimen for HCV and HIV testing. Polytomous logistic regressions identified variables associated with HCV, HIV, and HCV-HIV co-infection. RESULTS: The prevalences of HCV, HIV, and HCV-HIV co-infection were 1.9%, 9.0%, and 0.7%, respectively. The greatest contribution to HCV (odds ratio (OR) 23.66, 95% confidence interval (CI) 9.69-57.73) and HCV-HIV co-infection (OR 26.76, 95% CI 7.97-89.80) was injection drug use. Sexual behaviors and proxies were associated with HIV but not HCV infection. CONCLUSIONS: Results suggest there are subgroups of MSM at risk for HCV. While sexual transmission of HCV was not ruled out, the predominant risk was needle sharing. The greater prevalence of HCV among HIV-positive men suggests the need for greater vigilance in the detection of HCV in this group.
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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 | 0.001 | 0.002 |
| 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) | 0.000 | 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".