Evidence map›Paper›PMID 40408279›Full record

Observational studyHepatology communications2025

Parental liver disease mortality is associated with unfavorable outcomes in patients with alcohol-associated hepatitis.

Wanzhu Tu, Samer Gawrieh, Lauren Nephew, Craig McClain, Qing Tang, Srinivasan Dasarathy, Vatsalya Vatsalya, Douglas A Simonetto, Carla Kettler, Gyongyi Szabo and 11 more

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Hepatology communications, 2025. 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

21 authors.

Wanzhu TuDepartment of Medicine, and Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Samer GawriehDepartment of Medicine, and Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Lauren NephewDepartment of Medicine, and Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Craig McClainDepartment of Medicine, University of Louisville, Louisville, Kentucky, USA.
Qing TangDepartment of Medicine, and Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Srinivasan DasarathyDepartment of Gastroenterology, Hepatology and Nutrition, Cleveland Clinic, Cleveland, Ohio, USA.
Vatsalya VatsalyaDepartment of Medicine, University of Louisville, Louisville, Kentucky, USA.
Douglas A SimonettoDepartment of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Carla KettlerDepartment of Medicine, and Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Gyongyi SzaboDepartment of Medicine, Harvard University, Boston, Massachusetts, USA.
Bruce BartonDepartment of Population and Quantitative Health Sciences, University of Massachusetts, Worcester, Massachusetts, USA.
Yunpeng YuDepartment of Medicine, and Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Patrick S KamathDepartment of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Arun J SanyalDepartment of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia, USA.
Laura NagyDepartment of Gastroenterology, Hepatology and Nutrition, Cleveland Clinic, Cleveland, Ohio, USA.
Mack C MitchellDepartment of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA.
Suthat LiangpunsakulDepartment of Medicine, and Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Vijay H ShahDepartment of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Naga ChalasaniDepartment of Medicine, and Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Ramon BatallerDepartment of Medicine, Universitat de Barcelona, Barcelona, Spain.
AlcHepNet Investigators

Funding

Integrated Therapies for Alcohol use in Alcohol-associated Liver Disease (ITAALD) - Indiana University Data Coordinating CenterU24AA026969 · NIAAA · INDIANA UNIVERSITY INDIANAPOLIS · PI SAMER GAWRIEH, WANZHU TU · 2018 to 2026
$20.2M
Translational Research and Evolving Alcoholic hepatitis Treatment (TREAT-IU)U01AA021840 · NIAAA · INDIANA UNIVERSITY INDIANAPOLIS · PI NAGA P CHALASANI, Olawale Ojo · 2012 to 2026
$8.1M
Integrated Therapies for Alcohol use in Alcohol-associated Liver Disease (ITAALD) - Virginia Commonwealth UniversityU01AA026979 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI Juan Pablo Arab, FREDERICK Gerard MOELLER · 2018 to 2026
$2.9M
NIAAA NIH HHS U01 AA021840NIAAA NIH HHS U01 AA026979NIAAA NIH HHS U24 AA026969
6 · The paper itself

Abstract

backgroundHow parental alcohol use disorder and liver disease-related mortality influence the risk and the outcomes of alcohol-associated hepatitis (AH) in the offspring is unknown.

methodsWe analyzed data from 2 prospective observational studies of AH cases and heavy drinking controls (HDCs). Family history of parental alcohol use disorder and liver disease mortality was assessed at the study entry. Logistic regression and Cox proportional hazard models were used to assess the influences of family history on AH development and outcome.

resultsData from 1356 participants in two prospective cohorts (926 AH cases and 430 HDC) were combined and analyzed. Parental alcohol use disorder was found in 56.9% of AH cases and 61.1% of HDC; parental death due to liver disease was reported in 7.5% of AH cases and 5.7% of HDC. Multivariable logistic regression showed that parental liver disease-related mortality was associated with more than a doubled risk of AH development in the offspring after controlling for their demographic characteristics and drinking behavior (OR=2.26, 95% CI: [1.22, 4.20]). Moreover, among the AH cases, having a parent die of liver disease significantly increased the 90-day mortality of study participants after adjusting for the effects of other risk factors (HR=2.26, 95% CI: [1.05, 4.86]).

conclusionsThe study highlights the influences of parental death due to liver disease on AH development and mortality. Identifying patients at risk of AH through family history might help facilitate discussions on reducing alcohol consumption.

Indexed as

Child of Impaired ParentsHepatitis, AlcoholicParentsAdultAlcohol DrinkingCase-Control StudiesFemaleHumansLogistic ModelsMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk Factorsalcohol-associated hepatitisalcohol use disordermortality

Identifiers

PMID40408279
PMCPMC12106198

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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.