Evidence map›Paper›PMID 42019869›Full record

ArticleJHEP reports : innovation in hepatology2026

Alcohol-driven phenotypic transition in MASLD and risk of liver-related events.

Seohui Jang, Jihun Song, Eun Seok Kang, Sangwook Cheon, Taeho Kwak, Yihyun Kim, Seokjin Kong, Jinhyeok Choi, Minjeong Kang, Jaewon Khil and 4 more

Abstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 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. Review
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

14 authors.

Seohui JangDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea; Department of Biomedical Science, CHA University, Pocheon, Republic of Korea.
Jihun SongDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea; Biomedical Research Center, Korea University Guro Hospital, Seoul, Republic of Korea.
Eun Seok KangDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Sangwook CheonDepartment of Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Taeho KwakDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Yihyun KimDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Seokjin KongDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Jinhyeok ChoiDepartment of Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Minjeong KangDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Jaewon KhilDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Hye Jun KimDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Jeongin LeeDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Hwamin LeeDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Seogsong JeongDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea; Biomedical Research Center, Korea University Guro Hospital, Seoul, Republic of Korea. Electronic address: seogsongjeong@korea.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsChanges in the amount of alcohol consumption among individuals with steatotic liver disease (SLD) result in shifts between the phenotypes of metabolic dysfunction-associated SLD (MASLD), MASLD with increased alcohol intake (MetALD), and alcohol-related liver disease (ALD). Yet, real-world evidence on how these shifts affect the incidence of liver-related events (LREs) remains scarce. Therefore, we aimed to evaluate the impact of these dynamic subtype shifts on the risk of LREs.

methodsIn the nationwide cohort, 2,795,409 Korean adults who completed two consecutive biennial health examinations (2009-2010 and 2011-2012) were classified as MASLD, MetALD, or ALD at both assessments. Subtype transitions were determined based on fatty liver index-defined hepatic steatosis, cardiometabolic risk factors, and alcohol consumption. Participants were retrospectively followed from 2013 to 2022 for the occurrence of LREs, ascertained through diagnostic codes. Adjusted subdistribution hazard ratios (aSHRs) were calculated using the Fine-Gray model, accounting for death as a competing event.

resultsThe shift in SLD subtype from baseline to follow-up was closely aligned with corresponding changes in LRE risk. Individuals who remained in MASLD at both time points exhibited the lowest risk of composite LREs during the 9-year follow-up. In contrast, shifts from MASLD or MetALD to ALD were associated with the greatest escalation in LRE risk (MASLD-to-ALD: aSHR, 1.92 [95% CI, 1.83-2.02]; MetALD-to-ALD: aSHR, 1.27 [95% CI, 1.19-1.35]). Conversely, transitions toward MASLD were linked to substantial reductions in risk (MetALD-to-MASLD: aSHR, 0.89 [95% CI, 0.85-0.94]; ALD-to-MASLD: aSHR, 0.78 [95% CI, 0.73-0.83]).

conclusionsBecause dynamic changes in SLD subtypes strongly influence liver-related outcomes, regular reassessment of SLD classification is essential for timely and appropriate clinical management. IMPACT AND IMPLICATIONS: In this large, nationwide cohort of over 2.7 million Korean adults, we demonstrated marked heterogeneity in long-term liver outcomes according to dynamic steatotic liver disease subtype trajectories, providing strong scientific justification for monitoring disease evolution rather than relying on static classifications. These findings underscore the prognostic value of both alcohol intake reduction and metabolic risk management, highlighting the importance of integrated strategies for patients with hepatic steatosis. Clinicians and researchers should recognize the need for comprehensive care models that combine behavioral interventions such as alcohol screening, counseling, and referral to addiction services with pharmacological management of metabolic risk factors. Particularly, patients with MetALD and those with ALD represent highly vulnerable subgroups, underscoring the need for tailored strategies that address both alcohol use and metabolic dysfunction.

Indexed as

Alcohol DrinkingFatty LiverLiver Diseases, AlcoholicAdultFatty Liver, AlcoholicFemaleHumansIncidenceMaleMiddle AgedPhenotypeRepublic of KoreaRetrospective StudiesRisk FactorsAlcohol consumptionLiver-related eventsPhenotype transitionSteatotic liver disease

Identifiers

PMID42019869
PMCPMC13276549

What Socratic 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 Socratic graph.