Hepatotoxicity of nevirapine in virologically suppressed patients according to gender and CD4 cell counts<sup>*</sup>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: A warning advising a higher risk of hepatotoxicity in antiretroviral-naive patients starting a nevirapine-containing combination antiretroviral therapy (NcART) has been issued by health authorities. It is unclear whether this higher risk also applies to stable virologically suppressed patients starting NcART. METHODS: We performed a meta-analysis of published randomized studies including virologically suppressed patients who switched to NcART with a follow-up >or=3 months. CD4 cell cell counts were classified as high (HCD4) (400 cells/microL for males and 250 cells/microL for females) or low (LCD4). The main endpoint was hepatotoxicity within the first 3 months. RESULTS: Four studies with a pooled total of 410 patients were included. The risk of hepatotoxicity within the first 3 months was 2% and 4% in the LCD4 and HCD4 groups, respectively, with a combined odds ratio of 1.46 [95% confidence interval (CI) 0.43-4.98; P=0.54]. The risk of hepatotoxicity at any point during the study was similar in both groups, with a combined hazard ratio of 0.8 (95% CI 0.3-2.5; P=0.80). CONCLUSIONS: In our study, virologically suppressed patients switching to nevirapine did not have a significantly higher risk of hepatotoxicity or rash when stratified by gender and CD4 cell count, although small differences may have gone undetected because of the sample size limitation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 it