Impact of HIV Infection on Mortality in a Cohort of Injection Drug Users
Bibliographic record
Abstract
The prevalence of HIV has been rising among injection drug users (IDUs) and AIDS is now an important cause of death among that population. We tracked mortality and recorded detailed causes of death in the Vancouver Injection Drug Users Study (VIDUS). This is an open cohort of over 1,400 active IDUs that began in May 1996. At enrollment and at semiannual follow-up visits, a trained interviewer administers a detailed semistructured questionnaire. Mortality was recorded during follow-up and detailed causes of death were collected from coroner's reports, hospital records, and the provincial (British Columbia) registry. Causes of death were obtained on 125 participants. Overall, the leading cause of death was overdose accounting for 25% of deaths among HIV-positive participants and 42% among HIV-negative participants. Of the 65 deaths among HIV-positive individuals, 22 (34%) were HIV related. Mortality was associated with older age (adjusted hazards ratio [AHR], 1.03 per year), HIV positivity (AHR, 2.67), injection cocaine use (AHR, 2.23) and methadone treatment (AHR, 0.47). The high rate of HIV in this population has added significantly to the burden of illness and death in this marginalized 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 | 0.001 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".