Evidence map›Paper›PMID 42851554›Full record

ArticleFrontiers in endocrinology2026

Risk factors and nomogram for gallbladder stones in patients with type 2 diabetes mellitus: a retrospective study based on LASSO regression.

Yang Zhao, Rui Su, Jun Li, Hong-Fang Tuo

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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

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4 authors.

Yang ZhaoCentral Hospital, Tianjin University, Tianjin Institute of Hepatobiliary Disease, Tianjin, China.
Rui SuGastroenterology Department, Tianjin Fourth Central Hospital, Tianjin, China.
Jun LiDepartment of Hepatobiliary Surgery, Hebei General Hospital, Shijiazhuang, China.
Hong-Fang TuoDepartment of Hepatobiliary Surgery, Hebei General Hospital, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate factors associated with gallstone occurrence in patients with type 2 diabetes and to establish a nomogram for predicting gallstone presence in this population, aiming to support early risk stratification and prevention-oriented management. Methods: This retrospective study enrolled consecutive patients who visited the Hepatobiliary Surgery and Endocrinology departments from September 2023 to December 2024. Clinical data were collected via electronic medical records. After eligibility assessment and data collection, the dataset was divided chronologically into a training cohort (September 2023 to August 2024) and an internal temporal validation cohort (September to December 2024), both from the same institution. The model was developed in the training cohort and evaluated in the training and internal temporal validation cohorts using the area under the receiver operating characteristic curve (AUC), Brier score, calibration curves, calibration intercept, calibration slope, and decision curve analysis (DCA). Results: After LASSO and multivariable logistic regression analyses, age, hypertension, fasting blood glucose, triglycerides, very low-density lipoprotein cholesterol (VLDL-C), and apolipoprotein A1 (ApoA1) were retained in the final model. The model showed moderate discrimination, with AUCs of 0.713 (95% bootstrap CI 0.669-0.758) in the training cohort and 0.707 (95% bootstrap CI 0.630-0.781) in the internal temporal validation cohort. The corresponding Brier scores were 0.166 and 0.180. Calibration intercepts were 0.000 and -0.063, and calibration slopes were 1.000 and 0.872, respectively. Calibration curves and decision curve analyses were also examined. Conclusion: Patient age, hypertension, fasting blood glucose, triglycerides, VLDL-C, and ApoA1 were identified as predictors of gallstone occurrence in patients with type 2 diabetes. The nomogram showed moderate discrimination and may support risk stratification in this population, but its clinical utility requires external validation.

Indexed as

Diabetes Mellitus, Type 2GallstonesNomogramsAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsROC Curvegallbladder stonesLASSO regressionnomogramprediction modeltype 2 diabetes

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PMID42851554
PMCPMC13645705

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