Meta-Analysis
Copyright ©The Author(s) 2025.
World J Diabetes. May 15, 2025; 16(5): 100980
Published online May 15, 2025. doi: 10.4239/wjd.v16.i5.100980
Figure 1
Figure 1  Flowchart of the retrieval and screening process.
Figure 2
Figure 2  The risk of assessment graph of the included studies.
Figure 3
Figure 3 Forest plots for the meta-analysis of urinary protein. A: 24-hour urine proteinuria; B: Urine microalbumin; C: Urinary albumin excretion rate.
Figure 4
Figure 4 Forest plots for the meta-analysis of renal function. A: Serum creatinine; B: Blood urea nitrogen; C: Β2-microglobulin; D: Cystatin C; E: Creatinine clearance rate.
Figure 5
Figure 5 Forest plots for the meta-analysis of glucose metabolism. A: Fasting plasma glucose; B: 2-hour postprandial blood glucose; C: Glycosylated hemoglobin.
Figure 6
Figure 6 Forest plots for the meta-analysis of lipid metabolism. A: Total cholesterol; B: Triglycerides; C: Low-density lipoprotein cholesterol; D: High-density lipoprotein cholesterol.
Figure 7
Figure 7 Forest plots for the meta-analysis of hemorheology. A: Fibrinogen; B: Plasma viscosity; C: Whole blood low shear viscosity; D: Whole blood high shear viscosity.
Figure 8
Figure 8 Forest plots for the meta-analysis of inflammation and vascular endothelial function. A: C-reactive protein; B: Nitric oxide; C: Endothelin-1.
Figure 9
Figure 9 Publication bias analysis. A: 24-hour urine proteinuria; B: Urinary albumin excretion rate; C: Serum creatinine; D: Blood urea nitrogen; E: Fasting plasma glucose.