Evidence map›Paper›PMID 39492699›Full record

ArticleAlcohol and alcoholism (Oxford, Oxfordshire)2024

Early detection of liver disease in patients with alcohol use disorder improves long-term abstinence.

Amelia Orgill, Michael H Jew, Maryam Soltani, Ann Deioma, Meghan Grant, Heather M Patton, Cynthia L Hsu

Abstract read
In one paragraph

Article in Alcohol and alcoholism (Oxford, Oxfordshire), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Addressing Alcohol Use Disorder in Alcohol-Associated Liver Disease.Clinical and translational gastroenterology · 2026
    Review
  3. Article
  4. Review
  5. 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

7 authors.

Amelia OrgillDepartment of Medicine, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, United States.
Michael H JewDepartment of Medicine, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, United States.
Maryam SoltaniDepartment of Psychiatry, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, United States.
Ann DeiomaDepartment of Medicine, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, United States.
Meghan GrantDepartment of Medicine, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, United States.
Heather M PattonDepartment of Medicine, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, United States.
Cynthia L HsuDepartment of Medicine, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, United States.ORCID 0000-0002-2604-1340

Funding

The Southernearch Center for ALPD and CirrhosisP50AA011999 · NIAAA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ANNA S. GUKOVSKAYA · 1999 to 2026
$45.8M
Training Grant in GastroenterologyT32DK007202 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GHOSH, PRADIPTA · 1985 to 2022
$7.7M
Role of gut microbial ethanol production in alcohol use disorder and alcohol-associated liver diseaseK99AA031328 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HSU, CYNTHIA LI-SHIN · 2023 to 2024
$351k
American Association for the Study of Liver Diseases Foundation, and a Pilot and Feasibility Award Grant #CTORA23-208366National Institute on Alcohol Abuse and Alcoholism of the National Institutes of Health P50AA011999NIAAA NIH HHS K99 AA031328NIAAA NIH HHS P50 AA011999NIDDK NIH HHS T32 DK007202NIH HHS T32 DK007202
6 · The paper itself

Abstract

aimsExcessive alcohol consumption is a major global health concern, contributing to millions of deaths annually and a significant proportion of cirrhosis cases; however, standardized protocols for early identification of alcohol-associated liver disease are lacking. In this retrospective cohort study, we aimed to understand the prevalence and risk factors associated with elevated liver stiffness measurement (LSM) in high-risk patients with alcohol use disorder (AUD) and identify variables associated with longitudinal abstinence and outcomes.

methodsVeterans with severe AUD without known liver disease admitted to a 35-day residential substance use treatment program were offered liver health screening, including Fibroscan evaluation. Assessment of AUD severity and liver health outcomes were evaluated longitudinally by chart review. RESULTS AND

conclusionsIn a cohort of 257 veterans with severe AUD admitted to residential treatment, 185 underwent Fibroscan evaluation, and 22 were identified to have elevated LSM concerning for compensated advanced chronic liver disease. Patients with elevated LSM were more likely to remain abstinent after 1 year. About 41% of patients with LSM ≥ 10 kPa (5% of all screened patients) were confirmed to have cirrhosis on follow-up and incorporated into routine hepatology care. Screening of liver disease in high-risk populations with non-invasive imaging modalities provides an opportunity to identify patients at risk for compensated advanced chronic liver disease before decompensation. Identification of increased risk for advanced chronic liver disease may promote abstinence in patients with severe AUD. Collaboration between mental health professionals and hepatologists is critical for the integration of care for patients with AUD and liver disease.

Indexed as

Alcohol AbstinenceAlcoholismEarly DiagnosisAdultCohort StudiesElasticity Imaging TechniquesFemaleHumansLiver Diseases, AlcoholicMaleMiddle AgedRetrospective StudiesRisk FactorsVeteranscirrhosisFibroscanMASLDMetALDresidential rehabilitationvibration-controlled transient elastography

Identifiers

PMID39492699
PMCPMC11532622

What OpenQuestion holds

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Registered trials

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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.