Evidence map›Paper›PMID 42231276›Full record

ArticleNutrition journal2026

Association between high-risk metabolic dysfunction-associated steatohepatitis and ischemic heart disease: a nationally representative study.

Bin Yuan, Xuehong Zheng, Zhimeng Wu, Lihan Zhu, Changchang Fang, Yi Xu, Jihao Xu, Huilei Zhao, Jingfeng Wang, Peng Yu and 2 more

Abstract read
In one paragraph

Article in Nutrition journal, 2026. 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

12 authors.

Bin Yuan *Department of Cardiovascular Surgery, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China.
Xuehong Zheng *Department of Endocrinology and Metabolism, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China.
Zhimeng WuSchool of Rehabilitation, Jiangxi Medical College, Nanchang University, Nanchang, China.
Lihan ZhuDepartment of Physiology & Biomedical Sciences, Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul, Korea.
Changchang FangDepartment of Endocrinology and Metabolism, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China.
Yi XuDepartment of Endocrinology and Metabolism, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China.
Jihao XuDepartment of Medicine, Tseung Kwan O Hospital, New Territories, Hong Kong, China.
Huilei ZhaoDepartment of Anesthesiology, the People's Hospital of Nanchang, Nanchang, China.
Jingfeng WangDepartment of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Peng YuDepartment of Endocrinology and Metabolism, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China. yu8220182@163.com.
Xiao LiuDepartment of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China. liux587@mail.sysu.edu.cn.
Zhiqiang ChenDepartment of Cardiology, the First Affiliated Hospital of Gannan Medical University, Ganzhou, China. 1178149708@qq.com.

Funding

National Natural Science Foundation of China 82360162Natural Science Foundation of Guangdong Province 202201011395The Hengrui Diabetes Metabolism Research Fund Z-2017-26-2202-4The Jiangxi Province Thousands of Plans jxsq2023201105
6 · The paper itself

Abstract

backgroundThe relationship between metabolic dysfunction-associated steatohepatitis (MASH) and ischemic heart disease (IHD) remains incompletely understood. This study investigated this association in the U.S. adults utilizing the FibroScan-AST (FAST) score, a validated non-invasive tool for identifying high-risk MASH.

methodsThis cross-sectional study included 3,696 adults in the 2017-2018 National Health and Nutrition Examination Survey. We defined high-risk MASH as FAST score ≥ 0.35. We performed logistic regression to investigate the association between high-risk MASH and prevalent IHD. FAST was calculated by liver stiffness measurement (LSM), controlled attenuation parameter (CAP), and aspartate aminotransferase (AST).

resultsThe prevalence of IHD was significantly higher in the high-risk MASH group than in the non-high-risk group (10.5% vs. 5.8%). Both LSM (adjusted odds ratio (aOR) 1.84, 95% CI 1.28-2.65) and CAP (aOR 3.06, 95% CI 1.32-7.12) were independently associated with IHD after adjustment, whereas AST did not demonstrate a significant association (aOR 0.83, 95% CI 0.48-1.43). High-risk MASH was independently associated with IHD (aOR: 2.08; 95% CI: 1.18-3.65). Subgroup analysis suggested a potential sex-specific interaction (P for interaction = 0.035), with a pronounced association in males (aOR: 2.51; 95% CI: 1.32-4.75) but was not statistically significant in females (aOR: 0.36, 95% CI 0.07-1.27).

conclusionHigh-risk MASH defined by the FAST score is independently associated with prevalent IHD in the U.S. POPULATION: Future prospective cohort studies are warranted to validate whether intervation of high-risk MASH improves cardiovascular outcomes.

Indexed as

Fatty LiverMetabolic DiseasesMyocardial IschemiaAdultAspartate AminotransferasesCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceRisk FactorsUnited StatesAspartate AminotransferasesFibroScan-AST (FAST) scoreIschemic heart diseaseMetabolic dysfunction-associated steatohepatitisNational Health and Nutrition Examination SurveyTransient elastography

Identifiers

PMID42231276
PMCPMC13455423

What OpenQuestion 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 OpenQuestion graph.