Effect of Therapeutic Doses of Acetaminophen (up to 4 g/day) on Serum Alanine Aminotransferase Levels in Subjects Consuming Ethanol: Systematic Review and Meta‐analysis of Randomized Controlled Trials
Bibliographic record
Abstract
STUDY OBJECTIVE: To quantify the effect of therapeutic doses of acetaminophen on serum alanine aminotransferase (ALT) levels in subjects who consumed ethanol. DESIGN: Systematic review of six randomized placebo-controlled trials, of which five were included in a meta-analysis. SUBJECTS: Subjects included in the meta-analysis were those who consumed ethanol and received acetaminophen in doses up to 4 g/day (551 subjects) or placebo (350 subjects). MEASUREMENTS AND MAIN RESULTS: A comprehensive literature search of the MEDLINE, EMBASE, and International Pharmaceutical Abstracts databases and the Cochrane Central Register of Controlled Trials was performed to identify randomized, placebo-controlled trials that enrolled subjects who consumed ethanol, received acetaminophen in therapeutic doses up to 4 g/day, and had serum ALT level measurements. A total of 184 articles were identified; six articles met all criteria. Five of the six articles reported ALT levels on study day 4 for both groups of subjects who received acetaminophen or placebo. Thus, for the meta-analysis, we used the primary outcome of mean change in serum ALT level from baseline to day 4 in the acetaminophen groups compared with the placebo groups. We found that the difference in mean change from baseline ALT levels between the acetaminophen and placebo groups on day 4 was 0.0 U/L (95% confidence interval -0.2-0.1 U/L). There were no reports of liver dysfunction, liver failure, or death in any of the trials. CONCLUSION: In randomized, placebo-controlled trials of subjects who consumed ethanol, no elevation of ALT level on study day 4 was noted when subjects ingested up to 4 g/day of acetaminophen.
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How this classification was reachedexpand
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 | 0.050 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.042 | 0.005 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".