Evidence map›Paper›PMID 41835374›Full record

ArticleFrontiers in nutrition2026

The relationship between triglyceride-glucose index, triglyceride-glucose-body mass index, and the severity of hepatic steatosis and liver fibrosis in patients with MASLD: a cross-sectional study.

Xingye Wu, Jiacheng Mo, Jinming Yu, Shisi Zhang, Dan Zheng, Xiaoying Chen, Ruibing Qi, Jiaqin Jiang, Kun Ye, Zhengming Li

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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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

2 citing papers in PubMed.

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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

10 authors.

Xingye Wu *Department of Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Jiacheng Mo *Information Network Management Center, The Health Governance and Smart Medical Engineering Research Center of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Jinming Yu *Department of Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Shisi ZhangDepartment of Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Dan ZhengDepartment of Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Xiaoying ChenDepartment of Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Ruibing QiDepartment of Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Jiaqin JiangDepartment of Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Kun YeGuangxi Clinical Research Center for Chronic Kidney Disease, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Zhengming LiDepartment of Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to investigate the relationship between the triglyceride-glucose (TyG) index and the triglyceride-glucose-body mass (TyG-BMI) index and the severity of hepatic steatosis and liver fibrosis in patients with metabolic dysfunction-associated steatotic liver disease (MASLD), providing more accurate metabolic indicators for non-invasive screening. Methods: A retrospective analysis was conducted on 7,035 subjects who completed Fibrotouch testing. Multivariate logistic regression analysis was used to assess the correlation between the TyG index and TyG-BMI index and the severity of hepatic steatosis (mild, moderate, severe) and hepatic fibrosis. Quartile grouping analysis and ROC curve assessment were also used to evaluate predictive performance. Results: After adjusting for potential confounding factors, both the TyG index and the TyG-BMI index were significantly positively correlated with the severity of MASLD (both Conclusions: The TyG-BMI index is a strong predictor of MASLD severity and liver fibrosis, with predictive performance superior to that of the traditional TyG index. It can serve as an effective tool for clinical screening of high-risk populations for MASLD.

Indexed as

insulin resistanceliver fibrosismetabolic dysfunction-associated steatotic liver diseasetriglyceride-glucose-body mass indextriglyceride-glucose index

Identifiers

PMID41835374
PMCPMC12979549

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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.