Hepatitis C Seroprevalence and Risk Behaviors in Patients Attending Sexually Transmitted Disease Clinics
Bibliographic record
Abstract
BACKGROUND: Hepatitis C virus (HCV) is a major global problem, transmitted primarily by percutaneous exposure to contaminated blood. GOAL: The goal of the study was to determine the seroprevalence of and risk factors for HCV among patients attending two urban STD clinics in Alberta. STUDY DESIGN: Anonymous unlinked serosurveys were performed with use of leftover sera. Self-administered questionnaires collected information on demographics, sexual behaviors, and drug use. RESULTS: The seroprevalence of HCV was 3.4% (209 of 6,668 patients). Univariate analysis revealed that infection was higher among nontherapeutic needle users (RR = 80.9), those coinfected with HIV (RR = 8.09), individuals over the age of 20 years (RR = 6.68), those of aboriginal ethnicity (RR = 5.54), those with a history of STD (RR = 3.43), men (RR = 2.2), and bisexuals (RR = 2.23). Not utilizing condoms and engaging in prostitution or exchanging money or drugs for sex were also risk factors. In multivariate analysis, nontherapeutic needle use remained highly significant (RR = 60.54-65.51). Other significant factors included sex, age, ethnicity, a history of STD, and HIV infection (RR = 1.72, 4.62, 3.18, 1.69, and 2.56, respectively). Sexual orientation and sexual practices were not significant without a history of drug use. CONCLUSION: Nontherapeutic needle use is the strongest predictor of HCV infection.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".