Evidence mapPaperPMID 42317439Full record

ArticleOpen medicine (Warsaw, Poland)2026

TyG index combined with BMI predicts metabolism dysfunction-associated fatty liver disease in patients with type 2 diabetes.

Qian Gao, Lei Feng, Weiling Zhou, Xiaoli Li, Lanzi Yin, Xiaojuan Hou, Yuan Wang

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Article in Open medicine (Warsaw, Poland), 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Qian GaoDepartment of Endocrine and Metabolic Diseases, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0000-0002-9800-4805
Lei FengDepartment of Endocrine and Metabolic Diseases, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0000-0003-3906-3976
Weiling ZhouDepartment of Endocrine and Metabolic Diseases, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0000-0003-0434-8939
Xiaoli LiDepartment of Endocrine and Metabolic Diseases, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0000-0003-4783-0848
Lanzi YinDepartment of Endocrine and Metabolic Diseases, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0000-0002-1120-555X
Xiaojuan HouDepartment of Endocrine and Metabolic Diseases, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0000-0002-0879-1463
Yuan WangDepartment of Endocrine and Metabolic Diseases, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0000-0003-1657-1484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To explore the predictive capacity of the TyG index (triacylglycerol-glucose index) in conjunction with BMI for diagnosing MAFLD among patients with type 2 diabetes mellitus (T2DM). Methods: A retrospective study of 356 consecutive type-2 diabetes patients followed by the Endocrinology Department from May 2022 to May 2024 was studied. Participants were divided into MAFLD and non-MAFLD groups, and the association and predictive accuracy of the TyG index were evaluated using logistic regression and ROC curve analyses. Results: Significant variations in the incidence of MAFLD were observed across the quartiles Q1 (TyG<8.98), Q2 (8.98≤TyG<9.36), Q3 (9.36≤TyG<9.94), and Q4 (TyG≥9.94) (p<0.001). The formula log (p)=-22.549+0.385 * BMI + 1.3708 * TyG index illustrated that the TyG index and BMI are predictive of the likelihood of MAFLD in patients with T2DM. Furthermore, the TyG index and BMI were strongly correlated with MAFLD, evidenced by an area under the curve of 0.868 (95 % CI [0.829, 0.907], p<0.001), a sensitivity of 83.0 %, and a specificity of 77.8 %. Conclusions: The TyG index is significantly associated with the risk of developing MAFLD in individuals with type 2 diabetes, and its predictive utility is markedly enhanced when BMI is incorporated.

Indexed as

BMI(body mass index)metabolism dysfunction-associated fatty liver disease (MAFLD)TyG index(triacylglycerol-glucose index)type 2 diabetes mellitus (T2DM)

Identifiers

PMID42317439
PMCPMC13274720

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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.