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 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 | 0.014 | 0.032 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.022 | 0.035 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".