Evidence map›Paper›PMID 41586343›Full record

ReviewGastro hep advances2026

Alcohol Relapse After Liver Transplantation: Advances in Risk Stratification, Biomarker Integration, and Post-Transplant Care.

Vincent Pedulla, Alyson Kaplan

Abstract readReview
In one paragraph

Review in Gastro hep advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Vincent PedullaTufts University School of Medicine, Boston, Massachusetts.
Alyson KaplanAbdominal Transplant Institute, Tufts Medical Center, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alcohol-associated liver disease (ALD) is now the primary indication for liver transplantation (LT) in the United States. While outcomes after LT for ALD are generally excellent, the possibility of post-LT alcohol relapse raises ongoing clinical, ethical, and psychosocial challenges. Relapse is shaped by multiple factors, including young age, comorbid substance use or psychiatric history, lack of social support or engagement, and broader social determinants of health such as education, race, socioeconomic status, and geography. These influences are often difficult to capture through traditional psychosocial assessment alone, and program-level variation in evaluation practices may exacerbate disparities in access to LT. Several relapse prediction tools, including the Sustained Alcohol Use Post-Liver Transplant and Stanford Integrated Psychosocial Assessment for Transplant, have been developed to aid in candidate evaluation. While these tools provide structured approaches, their predictive accuracy remains limited. Biomarkers of alcohol use have emerged as valuable adjuncts to the psychosocial assessment, with phosphatidylethanol showing the greatest promise due to its high sensitivity and specificity and ability to detect alcohol use over a longer period of time. Post-transplant multidisciplinary treatment of alcohol use disorder is also important, including pharmacotherapy and addiction care. Ultimately, optimizing relapse prediction and management requires a framework that accounts not only for individual risk factors but also for structural inequities that shape access to transplantation. Efforts to combine clinical, biological, and social data into unified risk models may provide a more equitable and evidence-based approach to evaluating and supporting patients with ALD before and after LT.

Indexed as

Alcohol Use DisorderLiver TransplantationPhosphatidylethanolRelapse PredictionSocial Determinants of HealthTransplant Selection

Identifiers

PMID41586343
PMCPMC12828507

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.