ArticleScientific reports2025
Association between TyG related parameters and metabolic dysfunction associated fatty liver disease among nondiabetic individuals.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- The Predictive Value of TyG-BMI and TG/HDL-C for Metabolic Dysfunction-Associated Steatotic Liver Disease in Obstructive Sleep Apnea: A Single-Center Retrospective Cohort Analysis.Journal of clinical medicine · 2026Article
- Simplicity meets accuracy: TyG-Waist as a practical alternative to CVAI for type 2 diabetes prediction in high-risk Chinese adults.BMC endocrine disorders · 2026Article
- Association between HOMA-IR and metabolic dysfunction-associated steatohepatitis in U.S. adults with MASLD.Metabolism open · 2025Article
- Machine learning-based identification of biochemical markers to predict hepatic steatosis in patients at high metabolic risk.World journal of gastroenterology · 2025Article
- TyG-BMI as a superior predictor of MAFLD and pre-MAFLD in Chinese adults: a cross-sectional study.BMC gastroenterology · 2025Article
- The triglyceride-high-density lipoprotein-glucose-body index: a superior novel biomarker for diabetic kidney disease in type 2 diabetes.Frontiers in endocrinology · 2025Article
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5 authors.
Funding
Abstract
Metabolic dysfunction associated fatty liver disease (MAFLD) is a prevalent liver condition and presents a major clinical and public health problem worldwide. TyG index and its related parameters TyG-WHtR, TyG-WC and TyG-BMI have been proven to label insulin resistance reliably, which makes it an important parameter to reflect the composition and health status of human body. Recent studies in the general population have demonstrated that there exists a correlation between elevated TyG index and the development of MAFLD, but in the nondiabetic US population, this correlation remains unclear. We included 945 nondiabetic adult participants from NHANES 2017-2020 cycle in this cross-sectional study. To find the relationship that exists between TyG, TyG-WHtR, TyG-WC, TyG-BMI, HOMA-IR, QUICKI and the risk of MAFLD, we used four conventional multivariate adjusted logistic regression models, plotted the RCSs to conduct this study, analyzed the thresholds using a two-stage logistic model. We performed stratified and interaction analyses to identify whether the relationships were stable in different subgroups. Moreover, we assessed the predictive ability of these parameters for MAFLD by plotting ROCs. We found that there was a positive correlation between TyG index and the incidence of MAFLD as well as its related parameters in the nondiabetic population.
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