Evidence map›Paper›PMID 42557925›Full record

ArticleLiver international : official journal of the International Association for the Study of the Liver2026

Time-Varying Impact of Steatosis and Alcohol on Mortality: A Marginal Structural Model of the Canadian Longitudinal Study on Aging.

Carmela Rapino, Giada Sebastiani, Jessica Burnside, Cindy Wen, Alnoor Ramji, Mark Swain, Keyur Patel, Sahar Saeed

Abstract read
In one paragraph

Article in Liver international : official journal of the International Association for the Study of the Liver, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Time-Varying Impact of Steatosis and Alcohol on Mortality: A Marginal Structural Model of the Canadian Longitudinal Study on Aging.Liver international : official journal of the International Association for the Study of the Liver · 2026
    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

8 authors.

Carmela RapinoDepartment of Public Health Sciences, Queen's University, Kingston, Ontario, Canada.ORCID 0009-0006-5845-4197
Giada SebastianiDepartment of Medicine, McGill University, Montréal, QC, Canada.ORCID 0000-0003-2655-8283
Jessica BurnsideDepartment of Public Health Sciences, Queen's University, Kingston, Ontario, Canada.ORCID 0009-0004-2515-5903
Cindy WenDepartment of Public Health Sciences, Queen's University, Kingston, Ontario, Canada.ORCID 0000-0003-4607-5115
Alnoor RamjiDivision of Gastroenterology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0003-4059-8767
Mark SwainCalgary Liver Unit, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.ORCID 0000-0002-0919-4468
Keyur PatelDivision of Gastroenterology and Hepatology, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0002-4677-3127
Sahar SaeedDepartment of Public Health Sciences, Queen's University, Kingston, Ontario, Canada.ORCID 0000-0002-0224-379X

Funding

Fonds de Recherche Québec-Santé (FRQ-S) 366391
6 · The paper itself

Abstract

BACKGROUND AND

aimsSubclassifications of steatotic liver disease (SLD) are intended to provide a clinically meaningful framework for management. However, steatosis, cardiometabolic comorbidities and alcohol consumption are known to change over time. We investigated the association of the dynamic classification of SLD subtypes and all-cause mortality.

methodsWe analysed data from the Canadian Longitudinal Study on Aging, a cohort of adults aged 45-85 years that is followed every 3 years or until death. Hepatic steatosis was identified using the NAFLD Ridge Score, and alcohol consumption was used to classify MASLD, MetALD and ALD. Marginal structural Cox proportional hazards models estimated associations between time-varying SLD subtypes and mortality. Models were adjusted for socio-demographic, lifestyle and cardiometabolic factors, and stratified by sex.

resultsAmong 16 560 participants (52.1% female; median age 58 [IQR 51-66] years), 1041 deaths occurred within a median of 7.8 years. Within the first 3 years, 35.4%, 23.7% and 22.6% of participants with ALD, MetALD and MASLD, respectively, transitioned to different SLD subtypes. Mortality risk increased with increasing levels of alcohol among people with and without steatosis, and ALD demonstrated the highest mortality risk (aHR 6.11; 95% CI 1.76-21.19). Sex-stratified analyses suggested higher mortality among females, with the highest mortality rate in females with ALD compared to males (11.37 vs. 5.60 per 1000 person-years).

conclusionsSLD phenotypes are dynamic, with substantial transitions between disease subtypes over time. Reliance on static classifications may therefore misclassify risk. Longitudinal, time-varying approaches better capture disease evolution and may improve prognostic assessment and risk stratification.

Indexed as

Alcohol DrinkingFatty LiverNon-alcoholic Fatty Liver DiseaseAgedAged, 80 and overAgingCanadaCanadian Longitudinal Study on AgingFemaleHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRisk FactorsTime Factorsalcohol‐associated liver disease (ALD)Canadian Longitudinal Study on Agingmetabolic dysfunction and alcohol‐related liver disease (MetALD)metabolic dysfunction‐associated steatotic liver disease (MASLD)mortalitysteatotic liver diseasetime‐varying effects

Identifiers

PMID42557925
PMCPMC13444208

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LicenceCC BY-NC-ND
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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.