Evidence map›Paper›PMID 42745985›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2026

Body Mass Index Outperforms Triglyceride-Glucose Index in Predicting MAFLD in Type 2 Diabetes: A Cross-Sectional Mediation and Interaction Analysis.

Zhenzhen Sun, Li Yang, Nan Wang, Jie Wang, Xiaozhen Zhu, Xiqiao Zhou

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhenzhen SunDepartment of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, People's Republic of China.ORCID 0000-0002-6562-7280
Li YangDepartment of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, People's Republic of China.
Nan WangDepartment of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, People's Republic of China.
Jie WangDepartment of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, People's Republic of China.
Xiaozhen ZhuDepartment of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, People's Republic of China.
Xiqiao ZhouDepartment of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, People's Republic of China.ORCID 0000-0003-3122-3904

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The interplay between body mass index (BMI) and triglyceride-glucose (TyG) has yet to be systematically investigated on metabolic dysfunction-associated fatty liver disease (MAFLD) in type 2 diabetes mellitus (T2DM). This knowledge gap regarding the specific nature of their combined effects limits our ability to develop precise risk stratification algorithms and targeted intervention strategies. Purpose: This study aimed to investigate the independent and synergistic roles of BMI and TyG in MAFLD development among T2DM patients. Methods: A cross-sectional study was conducted among 816 T2DM patients recruited from the Affiliated Hospital of Nanjing University of Chinese Medicine. MAFLD was diagnosed via Fibroscan. Dose-response relationships were assessed using restricted cubic splines (RCS). Multiplicative and additive interactions were evaluated using logistic regression models. Causal mediation analysis quantified the proportion of the BMI-MAFLD association mediated by TyG. Predictive performance was compared using receiver operating characteristic (ROC) curves. Results: Among 816 participants, 528 (64.7%) had MAFLD. RCS confirmed linear positive associations of BMI and TyG with MAFLD. Compared to those with BMI <24 kg/m Conclusion: In T2DM, BMI exhibited a stronger association with MAFLD risk than TyG, with TyG accounting for a portion of this association but providing limited incremental improvement in discriminative ability.

Indexed as

body mass indexinteractionmediationmetabolic dysfunction-associated fatty liver diseasetriglyceride glucose indextype 2 diabetes

Identifiers

PMID42745985
PMCPMC13575612

What Socratic holds

Textmetadata
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Registered trials

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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 Socratic graph.