In this meta-analysis, we analyzed case-control studies that assessed the prognostic potential of miRNAs in cervical cancer. We comprehensively searched EMBASE and PubMed databases and enrolled seven studies with 445 cervical cancer cases. A fixed effects model was used to calculate pooled hazard ratios (HRs) and associated 95% confidence intervals (95% CIs) from the overall survival (OS) data. Our analysis showed that poor OS in cervical cancer was associated with low miR-125 expression (HR = 1.61, 95% CI: 1.02-2.55, P = 0.042; I2 = 10.1%, P = 0.292; n = 99), low miR-145 expression (HR = 1.70, 95% CI: 1.29-2.24, P < 0.001; I2 = 0%, P = 0.560; n = 193) and high miR-196 expression (HR = 0.28, 95% CI: 0.15-0.52, P < 0.001; I2 = 0%, P = 0.950, n = 197). This makes microRNAs such as miR-125, miR- 145 and miR-196 potential prognostic biomarkers in cervical cancer. © Chen et al.