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Observational Study
Copyright ©The Author(s) 2025.
World J Diabetes. Oct 15, 2025; 16(10): 110406
Published online Oct 15, 2025. doi: 10.4239/wjd.v16.i10.110406
Figure 1
Figure 1 Flowchart of the population included in our study. T2DM: Type 2 diabetes mellitus.
Figure 2
Figure 2 A forest plot of subgroup analyses of factors affecting metabolic dysfunction-associated steatotic liver disease in patients with type 2 diabetes mellitus. CAD: Coronary artery disease; NAFLD: Non-alcoholic fatty liver disease; CI: Confidence interval.
Figure 3
Figure 3 Results of non-linear correlation analysis between Zhejiang University index and metabolic dysfunction-associated steatotic liver disease in type 2 diabetes mellitus patients. A: Unadjusted; B: Adjusted for sex, smoking, alcohol consumption, hypertension, coronary artery disease, age, systolic blood pressure, diastolic blood pressure, white blood cell count, blood urea nitrogen, uric acid, total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol. CI: Confidence interval; ZJU: Zhejiang University.
Figure 4
Figure 4 A forest plot of subgroup analyses of factors affecting Zhejiang University index in patients with type 2 diabetes mellitus. ZJU: Zhejiang University; OR: Odds ratio; CI: Confidence interval; CAD: Coronary artery disease.
Figure 5
Figure 5 Predicting a new nomogram for metabolic dysfunction-associated steatotic liver disease. CAD: Coronary artery disease; ZJU: Zhejiang University; WBC: White blood cell count; BUN: Blood urea nitrogen; UA: Uric acid; TC: Total cholesterol; HDL-C: High-density lipoprotein cholesterol; LDL-C: Low-density lipoprotein cholesterol.
Figure 6
Figure 6 Calibration curves and decision curve analysis of nomogram. A: Calibration curves; B: Decision curve analysis.
Figure 7
Figure 7 Predicting receiver operating characteristic curves for metabolic dysfunction-associated steatotic liver disease based on Zhejiang University index in type 2 diabetes mellitus patients. A: Receiver operating characteristic (ROC) curve for the final multivariate model; B: ROC curves for bootstrapping cross-validation; C: ROC curves for comparisons between different indicators. AUC: Area under curve; CI: Confidence interval; ALT: Alanine aminotransferase; AST: Aspartate transaminase; TG: Triglyceride; FBG: Fasting blood glucose; ZJU: Zhejiang University.