The impact of zidovudine on dementia-free survival in a population of HIV-positive men and women on antiretroviral therapy
Bibliographic record
Abstract
Our objective was to characterize the effect of zidovudine therapy on AIDS dementia complex (dementia) free survival among HIV-infected men and women in a population-based cohort with free access to antiretroviral therapy in the province of British Columbia. Time to diagnosis of dementia among individuals was examined on the basis of zidovudine duration, CD4+ cell count at first treatment, gender, and transmission group [men having sex with men (MSM), intravenous drug users (IDU), heterosexuals]. We restricted the analysis to subjects with CD4+ cells counts within 12 months prior to treatment start date. Among 641 participants eligible for analysis, median duration of follow-up was 3.6 years, under which 86 (9.3%) events of dementia occurred. Participants were less likely to develop dementia with: increased zidovudine exposure (OR=0.26, 95% CI: 0.14-0.49), at least 260 CD4+ cells/mm3 (median) (OR=0.52, 95% CI: 0.34-0.78), and MSM risk group (OR=0.57, 95% CI: 0.35-0.94). Those infected through heterosexual contact had an increased risk (RR=2.04, 95% CI: 1.02-4.07). Using Cox's proportional hazards model, controlling for CD4+ cell count at treatment start date, independent predictors of dementia-free survival were: duration of zidovudine (OR=0.28, 95% CI: 0.15-0.52) and MSM transmission group (OR=0.61, 95% CI: 0.37-1.00). In this observational treatment cohort, factors associated with dementia-free survival include duration of zidovudine (AZT) therapy and MSM transmission group. It is not clear from these data whether the AZT protective effect is exclusive to this agent or whether other therapies might offer a similar protective effect.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".