Evidence map›Paper›PMID 40665356›Full record

ArticleCardiovascular diabetology2025

Association of temporal MASLD with type 2 diabetes, cardiovascular disease and mortality.

Eugene Han, Kyung-Do Han, Yong-Ho Lee, Kyung-Soo Kim, Sangmo Hong, Jung Hwan Park, Cheol-Young Park, Fatty LiverResearch Group of the Korean Diabetes Association

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  17. MASLD In Children - A Distinct Phenotype?Current obesity reports · 2026
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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.

Eugene HanDivision of Endocrinology and Metabolism, Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.
Kyung-Do HanDepartment of Statistics and Actuarial Science, Soongsil University, Seoul, Korea.
Yong-Ho LeeDivision of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Kyung-Soo KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea.
Sangmo HongDivision of Endocrinology and Metabolism, Department of Internal Medicine, Hanyang Guri Hospital, Hanyang University College of Medicine, Guri, Korea.
Jung Hwan ParkDivision of Endocrinology and Metabolism, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea.
Cheol-Young ParkDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul, 03181, Korea. cydoctor@skku.edu.
Fatty LiverResearch Group of the Korean Diabetes Association

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe investigated the risk of type 2 diabetes (T2DM) and related comorbidities including cardiovascular disease (CVD), and mortality, based on changes in metabolic dysfunction associated steatotic liver disease (MASLD).

methodsWe analyzed data from the Korean National Health Insurance Service for individuals aged ≥ 20 years. MASLD was defined as a fatty liver index (FLI), a prediction formula based on metabolic parameters, with a cutoff of ≥ 60. FLI measurements were compared within each individual over a 2 years period. Based on changes in FLI between two health checkups, individuals were classified into four categories; never MASLD (FLI consistently < 60), incident MASLD (FLI < 60 to ≥ 60), regressed MASLD (≥ 60 to < 60), and persistent MASLD (FLI consistently ≥ 60). The primary outcome was T2DM occurrence in the general population and myocardial infarction (MI), ischemic stroke, heart failure (HF) and mortality events in individuals with preexisting T2DM with adjustment for age, sex, smoking, alcohol drinking, and regular exercise.

resultsIn 4,397,808 individuals without T2DM, 229,475 (5.2%) developed T2DM during a median follow-up period of 7.3 years. The risk of incident T2DM was the highest in individuals with persistent MASLD compared to those who never had MASLD (HR = 5.28, 95% CI = 5.22-5.34). Individuals with incident or regressed MASLD also had increased risk of developing T2DM (HR = 3.30, 95% CI = 3.25-3.35 for incident MASLD, HR = 2.87, 95% CI = 2.82-2.92 for regressed MASLD). In a cohort of 636,520 individuals with preexisting T2DM followed for a median of 6.2 years, those with persistent MASLD had a higher risk of HF (HR = 1.28, 95% CI = 1.25 to 1.32), MI (HR = 1.15, 95% CI = 1.10 to 1.20), stroke (HR = 1.14, 95% CI = 1.09 to 1.19) and all-cause mortality (HR = 1.11, 95% CI = 1.09-1.14) compared to individuals who never had MASLD. Similarly, both incident and regressed MASLD were associated with an increased risk for HF, MI, stroke and all-cause mortality.

conclusionsPersistent MASLD is associated with an increased risk of incident T2DM, and further elevates the risk of CVD, and mortality among individuals with T2DM. Even individuals with incident or regressed MASLD exhibit an increased risk of these adverse outcomes compared to those who never had MASLD.

trial registrationN/A.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Non-alcoholic Fatty Liver DiseaseAdultAgedComorbidityFemaleHumansIncidenceMaleMiddle AgedPrognosisRepublic of KoreaRisk AssessmentRisk FactorsTime FactorsCardiovascular diseaseMetabolic dysfunction associated steatotic liver diseaseMortalityType 2 diabetes

Identifiers

PMID40665356
PMCPMC12261669

What Socratic holds

Textmetadata
LicenceCC BY
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.