Evidence map›Paper›PMID 39934869›Full record

ArticleNutrition & metabolism2025

Overlap prevalence and interaction effect of cardiometabolic risk factors for metabolic dysfunction-associated steatotic liver disease.

Dongying Zhao, Xiaoyan Zheng, Liwei Wang, Yujie Xie, Yan Chen, Yongjun Zhang

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Article in Nutrition & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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

6 authors.

Dongying Zhao *Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kong Jiang Road, Shanghai, 200092, China.
Xiaoyan Zheng *Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kong Jiang Road, Shanghai, 200092, China.
Liwei Wang *Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kong Jiang Road, Shanghai, 200092, China.
Yujie XieXinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kong Jiang Road, Shanghai, 200092, China.
Yan ChenXinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kong Jiang Road, Shanghai, 200092, China. chenyan783563@163.com.
Yongjun ZhangXinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kong Jiang Road, Shanghai, 200092, China. zhangyongjun@sjtu.edu.cn.

Funding

the Research and Development Program of China 2022YFC2705300
6 · The paper itself

Abstract

backgroundCardiometabolic risk factors (CMRFs) related to metabolic dysfunction-associated steatotic liver disease (MASLD) comprised overweight/obesity, impaired glucose metabolism, hypertension, hypertriglyceridemia and low high-density lipoprotein cholesterol. We aimed to describe the overlap prevalence and synergistic interaction of the five CMRFs on MASLD and liver fibrosis.

methodsUsing data of 2017-2020 National Health and Nutrition Examination Survey, we included non-pregnant participants aged ≥ 20 years who completed vibration-controlled transient elastography examinations and had sufficient information to determine their metabolic status. Logistic and generalized linear regression models were performed to assess synergistic interaction between CMRFs on MASLD and identify the contributions to liver fibrosis.

resultsThe overall estimated prevalence of MASLD was about 33.1%. More than 80% of patients had three or more CMRFs. For MASLD, synergistic interaction between pairs of overweight/obesity and other four CMRFs were higher than it between other CMRFs' pairs [attributable proportion(AP): 40-50% vs 20-30%]. For liver fibrosis, overweight/obesity and impaired glucose metabolism or hypertension had significant synergistic interactions (AP: 50% or 30%, respectively). We identified 27 out of 31 possible CMRF combinations. Combinations including dyslipidemia were more frequent in men than women (77% vs 59%). Combinations including hypertension were less in Mexican Americans than other ethnicities (25% vs 45-57%). Most combinations with three or more CMRFs, regardless of overlap type, had significant associations with elevated liver stiffness value.

conclusionsCMRF overlap was quite common and had additive interaction in patients with MASLD. Overlapping number may be more important than combination type in liver fibrosis development.

Indexed as

EpidemiologyInteraction effectLiver diseaseLiver fibrosisMetabolic factors

Identifiers

PMID39934869
PMCPMC11817221

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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.