Alcohol Relapse After Early Liver Transplantation in Patients With Alcoholic Liver Disease: A Meta-Analysis
Bibliographic record
Abstract
Background: Alcohol use disorder (AUD) is a significant source of end-stage liver disease and liver failure and an indication for liver transplant (LT). Historically, LT for alcoholic liver disease (ALD) required 6 months of alcohol abstinence. Recently, it has been demonstrated that early LT (< 6 months of abstinence) in strictly selected group of patients provides survival benefit while keeping the relapse to harmful drinking at acceptable levels. This practice has been reflected in the Dallas consensus, but more data are needed to appropriately risk stratify the patient from the perspective of return to harmful alcohol drinking post-transplant. This "6-month rule" has been highly debated and recent data demonstrated that the duration of pre-transplant sobriety is not related with an increased risk of relapse to alcohol post-transplant. We performed a meta-analysis to compare the rate of alcohol relapse in individuals having standard vs. early LT. Methods: MEDLINE and SCOPUS were searched for randomized controlled trials (RCTs), observational studies, and case-control studies from their inception through June 2022. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMSA) 2009 checklist guidelines were followed for this meta-analysis. Studies comparing post-transplant outcomes, such as alcohol relapse, in individuals following standard vs. early LT, were included. Reviews, case studies, conference abstracts, clinical trials with only an abstract, and studies with inadequate data for extraction were all disqualified. The data were retrieved, gathered, and examined. The random effects model was used to generate forest plots. For the analysis, a P-value of 0.05 was considered significant. Results: Thirty-four studies were discovered in the initial search. Three studies were included in this systematic review and meta-analysis incorporating 367 patients. Mean age was 51.7 years. Out of 367 patients, 173 (47%) underwent early LT. Out of three studies included, one study demonstrated decreased probability of alcohol relapse in patients undergoing early LT, whereas the other two showed the opposite result. All of the included studies were analyzed and had minimal risk of bias. Pooled analysis demonstrates that the difference in alcohol relapse between early vs. standard LT was insignificant (odds ratio: 1.24, 95% confidence interval: 0.75 - 2.06, P = 0.40). Conclusion: Our results show that early LT is not associated with increased risk of alcohol relapse post-transplant when compared with a mandatory 6-month abstinence period. Hence, individuals with ALD should not be categorically rejected from LT merely on the criteria of 6 months of abstinence. Other selection criteria based on the need and post-transplant outcomes should be utilized.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.002 | 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 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".