Evidence map›Paper›PMID 40823166›Full record

ReviewJHEP reports : innovation in hepatology2025

"The alcohol-harm paradox": Understanding socioeconomic inequalities in liver disease.

Laura Weichselbaum, Judah Kupferman, Allison J Kwong, Christophe Moreno

Abstract readReview
In one paragraph

Review in JHEP reports : innovation in hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
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  10. Article
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

4 authors.

Laura WeichselbaumDepartment of Gastroenterology, Hepatopancreatology, and Digestive Oncology, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
Judah KupfermanDivision of Gastroenterology and Hepatology, Stanford University, Stanford, CA, USA.
Allison J KwongDivision of Gastroenterology and Hepatology, Stanford University, Stanford, CA, USA.
Christophe MorenoDepartment of Gastroenterology, Hepatopancreatology, and Digestive Oncology, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The alcohol-harm paradox (AHP) refers to the fact that people from lower socioeconomic groups experience higher rates of alcohol-related illness despite consuming the same or even lower amounts of alcohol than their more affluent counterparts. While differences in drinking patterns and associations with other risky behaviours partially explain the paradox, they do not fully account for the disparities in morbidity and mortality across socioeconomic groups. The existence of an alcohol-harm paradox in liver disease has been demonstrated in many countries worldwide. Recently, the COVID-19 pandemic further exacerbated these differences and led to an increase in alcohol intake and alcohol-related mortality among racial and ethnic minorities in the United States. Approaches to limit alcohol sales, through introduction of minimum unit pricing or taxation, have led to reductions in alcohol-related liver disease, particularly in socioeconomically deprived areas. Disparities in access to treatment of alcohol use disorder, liver disease and liver transplantation further contribute to the AHP. This review focuses on the AHP, its impact on liver disease and the multi-level strategy that will be required to curb this phenomenon.

Indexed as

AlcoholInequalitiesLiver diseasePublic Health

Identifiers

PMID40823166
PMCPMC12355514

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 OpenQuestion graph.