Is there sufficient evidence for a causal association between antiretroviral therapy and diabetes in HIV‐infected patients? A meta‐analysis
Why this work is in the frame
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Bibliographic record
Abstract
The association of antiretroviral therapy (ART) with diabetes is inconsistent and varies widely across primary epidemiological studies. A comprehensive and more precise estimate of this association is fundamental to establishing a plausible causal link between ART and diabetes. We identified epidemiological studies that compared mean fasting plasma glucose (FPG) concentrations and proportions of diabetes and metabolic syndrome between HIV-infected patients naïve and exposed to ART. Mean difference in FPG concentrations and odds ratios of diabetes and metabolic syndrome were pooled using random-effects meta-analyses. Data on 20 178 participants from 41 observational studies were included in the meta-analyses. Mean FPG concentrations (Pooled mean difference: 4.66 mg/dL; 95% confidence interval [CI], 2.52 to 6.80; 24 studies) and the odds of diabetes (Pooled odds ratios: 3.85; 95% CI, 2.93 to 5.07; 10 studies) and metabolic syndrome (Pooled odds ratios: 1.45; 95% CI, 1.03 to 2.03; 18 studies) were significantly higher among ART-exposed patients, compared to their naïve counterparts. ART was also associated with significant increases in FPG levels in studies with mean ART duration ≥18 months (Pooled mean difference: 4.97 mg/dL; 95% CI, 3.10 to 6.84; 14 studies), but not in studies with mean ART duration <18 months (Pooled mean difference: 4.40 mg/dL, 95% CI, -0.59 to 9.38; 7 studies). ART may potentially be the single most consistent determinant of diabetes in people living with HIV worldwide. However, given the preponderance of cross-sectional studies in the meta-analysis, the association between ART and diabetes cannot be interpreted as cause and effect.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it