Evidence map›Paper›PMID 42698534›Full record

ArticleFrontiers in endocrinology2026

Construction and validation of a diagnostic model for type 2 diabetes mellitus comorbid with metabolic dysfunction-associated steatotic liver disease based on routine serological indicators: a retrospective case-control study.

Lihong Wu, Shuang Wang, Ning Yang, Renjun Li, Shui Jin

Abstract readValidation Study
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Article in Frontiers in endocrinology, 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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5 · Who and what money

Authors and funding

5 authors.

Lihong WuChaohu Hospital of Anhui Medical University, Chaohu, China.
Shuang WangChaohu Hospital of Anhui Medical University, Chaohu, China.
Ning YangChaohu Hospital of Anhui Medical University, Chaohu, China.
Renjun LiChaohu Hospital of Anhui Medical University, Chaohu, China.
Shui JinChaohu Hospital of Anhui Medical University, Chaohu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The prevalence of type 2 diabetes mellitus (T2DM) with concurrent Metabolic dysfunction-Associated Steatotic Liver Disease (MASLD) is high. However, simple, efficient and non-invasive diagnostic tools based on routine serological indicators are lacking. This study aims to construct and validate a simple diagnostic model using routine serological indicators. Methods: A retrospective case-control study is conducted, enrolling 470 patients with T2DM. They are randomly stratified into a training set and a validation set at a 7:3 ratio. Independent predictive factors are identified using univariate and multivariate logistic regression. Diagnostic performance is assessed via receiver operating characteristic (ROC) curves. A nomogram diagnostic model is constructed and evaluated using ROC curves, calibration curves and decision curve analysis. For external validation, an additional 300 T2DM patients are recruited. Results: Body mass index (BMI), fasting C-peptide, total cholesterol, triglycerides, high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL), urea and alanine aminotransferase (ALT) are independent predictors of comorbid T2DM and MASLD. The area under the curve (AUC) of this model in the training set, internal validation set and external validation set is 0.921, 0.913 and 0.830, respectively. The calibration curve closely approximates the ideal diagonal line and decision curve analysis (DCA) demonstrates significant clinical net benefit across a broad range of threshold probabilities. Conclusion: This model enables high-precision diagnosis of T2DM with MASLD using routinely available serological indicators, avoiding invasive procedures and exhibiting strong potential for clinical translation. Future studies should validate its generalizability in multicenter prospective cohorts to promote its use as a routine screening tool for MASLD in T2DM patients.

Indexed as

BiomarkersDiabetes Mellitus, Type 2Fatty LiverMetabolic DiseasesAgedCase-Control StudiesComorbidityFemaleHumansMaleMiddle AgedNomogramsRetrospective StudiesROC CurveBiomarkersdiagnostic modelmetabolic dysfunction-associated steatotic liver diseasenomogramserological indicatorstype 2 diabetes mellitus

Identifiers

PMID42698534
PMCPMC13541487

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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.