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Meta-Analysis
Copyright: ©Author(s) 2026.
World J Clin Urol. Sep 16, 2026; 15(2): 123397
Published online Sep 16, 2026. doi: 10.5410/wjcu.123397
Figure 1
Figure 1  PRISMA flow diagram for study identification and selection.
Figure 2
Figure 2 Forest plots. A: Forest plot for the International Prostate Symptom Score (IPSS)-quality of life meta-analysis (k = 5, n = 705). Pooled random-effects r = 0.713 [95% confidence interval (CI): 0.557-0.820; I2 = 3.26%]. Studies ordered by publication year; B: Forest plot for the prostate volume-IPSS meta-analysis (k = 12, n = 1446). Pooled random-effects r = 0.457 (95%CI: 0.257-0.619; I2 = 38.37%). Studies ordered by publication year; C: Forest plot for the IPSS-post-void residual meta-analysis (k = 11, n = 2663). Pooled random-effects r = 0.363 (95%CI: 0.150-0.543; I2 = 51.18%). Studies ordered by publication year.
Figure 3
Figure 3 Funnel plots. A: Funnel plot for the International Prostate Symptom Score (IPSS)-quality of life meta-analysis. No significant asymmetry detected (Egger’s P = 0.076; Kendall’s P = 0.233); B: Funnel plot for the prostate volume-IPSS meta-analysis. No evidence of publication bias (Egger’s P = 0.510; Kendall’s P = 0.630); C: Funnel plot for the IPSS-post-void residual meta-analysis. Borderline asymmetry noted (Egger’s P = 0.087; Kendall’s P = 0.218). Fazal et al[12] is a high-Fisher’s-Z outlier consistent with a small-study effect.


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