Vitamin E is an effective treatment for nonalcoholic steatohepatitis in HIV mono-infected patients
Bibliographic record
Abstract
OBJECTIVE: HIV-infected patients are at increased risk of nonalcoholic steatohepatitis (NASH). Vitamin E is recommended for treatment of NASH in the general population. However, its safety and efficacy among HIV-infected patients remain unknown. DESIGN: Single-centre, phase IV, open-label, single arm clinical trial. METHODS: HIV mono-infected patients without significant alcohol intake or viral hepatitis coinfection were included. The diagnosis of NASH was based on the co-existence of fatty liver, diagnosed by controlled attenuation parameter (CAP) at least 248 dB/m and significant hepatocyte apoptosis, defined by the serum biomarker cytokeratin 18 (CK-18) greater than 130.5 U/L. Participants were treated with 800 IU daily of oral vitamin E (alpha-tocopherol) for 24 weeks, and followed for an additional 24 weeks postdiscontinuation. Generalized linear mixed effects models were used to evaluate changes in alanine aminotransferase (ALT), CAP and CK-18 at the completion of treatment and end of follow-up, controlling for pretreatment trends. RESULTS: A total of 27 patients were included. Four (15%) had a pretreatment liver biopsy, which confirmed the diagnosis of NASH in all cases. Compared with baseline, 24 weeks of vitamin E treatment improved ALT [-27 units/l; 95% confidence interval (CI) -37 to -17], CAP scores (-22 dB/m; 95% CI -42 to -1) and CK-18 (-123 units/l; 95% CI -201 to -46). Conversely, there was no change in BMI. No serious adverse event was reported and no patient was lost to follow-up. CONCLUSION: In this first clinical trial, we showed that vitamin E is an effective and well tolerated treatment for NASH in HIV-infected patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".