OBJECTIVE: To evaluate the diagnostic cytology in detecting bladder cancer using. STUDY DESIGN: Public databases, including Embase, Springer, Elsevier Science brary, and Google Scholar, were 2015. Sensitivity, specificity (LR), negative LR, and of urine cytology in individual using random of summary receiver curve was applied Publication bias Egger's test. RESULTS of 5,9 the ed, ect, Cochrane Library fore February lihood ratio ratio (DO studies were calculated field effect model charateristic C) nce of cytology. included studies was evaluated by total of 17 separate studies consisting with bladder cancer were included in Significant heterogeneity between 98.6%, p<0.01) and effect sizes were ng random effects model. Overall sensitivity, positive LR, negative LR, and DOR of tology were 0.37 (95% CI 0.35-0.39), 0.95 Cl 0.94-0.951, 7.39 (95% CI 4.97-10.98), 0.56 (95%.4-0.68), and 15.76 (95% Cl 9.03-27.50), re respectively. The area under the curve (AUC) and (Q* 0.80 and 0.74, respectively. No publication was observed (p=0.12). CONCLUSION: Our data indicate that urine cytology might be more suitable as an assistant method in bladder cancer detection by combining with other diagnostic methods with high sensitivity.