Comparative efficacy and safety of pharmacotherapies for alcohol withdrawal: a systematic review and network meta‐analysis
Bibliographic record
Abstract
BACKGROUND AND AIMS: There have been few head-to-head clinical trials of pharmacotherapies for alcohol withdrawal (AW). We, therefore, aimed to evaluate the comparative performance of pharmacotherapies for AW. METHODS: Six databases were searched for randomized clinical trials through November 2021. Trials were included after a blinded review by two independent reviewers. Outcomes included incident seizures, delirium tremens, AW severity scores, adverse events, dropouts, dropouts from adverse events, length of hospital stay, use of additional medications, total benzodiazepine requirements, and death. Effect sizes were pooled using frequentist random-effects network meta-analysis models to generate summary ORs and Cohen's d standardized mean differences (SMDs). RESULTS: Across the 149 trials, there were 10 692 participants (76% male, median 43.5 years old). AW severity spanned mild (n = 32), moderate (n = 51), and severe (n = 66). Fixed-schedule chlormethiazole (OR, 0.16; 95% CI, 0.04-0.65), fixed-schedule diazepam (OR, 0.16; 95% CI, 0.04-0.59), fixed-schedule lorazepam (OR = 0.19; 95% CI, 0.08-0.45), fixed-schedule chlordiazepoxide (OR = 0.21; 95% CI, 0.08-0.53), and divalproex (OR = 0.22; 95% CI, 0.05-0.86) were superior to placebo at reducing incident AW seizures. However, only fixed-schedule diazepam (OR, 0.19; 95% CI, 0.05-0.76) reduced incident delirium tremens. Oxcarbazepine (d = -3.69; 95% CI, -6.21 to -1.17), carbamazepine (d = -2.76; 95% CI, -4.13 to -1.40), fixed-schedule oxazepam (d = -2.55; 95% CI, -4.26 to -0.83), and γ-hydroxybutyrate (d = -1.80; 95% CI, -3.35 to -0.26) improved endpoint Clinical Institute Withdrawal Assessment for Alcohol-Revised scores over placebo. Promazine and carbamazepine were the only agents significantly associated with greater dropouts because of adverse events. The quality of evidence was downgraded because of the substantial risk of bias, heterogeneity, inconsistency, and imprecision. CONCLUSIONS: Although some pharmacotherapeutic modalities, particularly benzodiazepines, appear to be safe and efficacious for reducing some measures of alcohol withdrawal, methodological issues and a high risk of bias prevent a consistent estimate of their comparative performance.
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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 | 0.022 | 0.049 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.020 | 0.039 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".