Comprehensive analysis on diagnostic value of circulating miRNAs for patients with ovarian cancer
Metrics: PDF 1025 views | HTML 1852 views | ?
Huiqing Wang1, Tingting Wang1, Wenpei Shi1, Yuan Liu1, Lizhang Chen1 and Zhanzhan Li2
1Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, Hunan Province 410078, China
2Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, China
Zhanzhan Li, email: [email protected]
Lizhang Chen, email: [email protected]
Keywords: diagnostic, ovarian cancer, miRNA, meta-analysis
Received: February 25, 2017 Accepted: April 07, 2017 Published: May 24, 2017
We performed a meta-analysis to assess the diagnostic accuracy of circulating miRNA for patients with ovarian cancer. We systematically searched several online databases, including PubMed, Web of Science, Chinese National Knowledge Infrastructure, and Wanfang from inception to February 20, 2017. We used the bivariate mixed-effect models to pool positive likelihood ratios, negative likelihood ratios, diagnostic odds ratios and their 95% CI confidence intervals (CIs). We used the Quality Assessment of Diagnostic Accuracy Studies 2 for quality assessment of diagnostic accuracy studies. This meta-analysis included ten studies with the number of 1356 participants. The pooled sensitivity and specificity were 0.75 (95%CI: 0.69-0.80) and 0.75 (95%CI: 0.69-0.81). We also calculated the positive likelihood ratios (3.03, 95%CI: 2.44-3.76), and negative likelihood ratios (0.33, 95%CI: 0.27-0.41). The diagnostic odds ratio was 9.09 (95%CI: 6.51-12.69). The summary receiver operator characteristic was 0.82 (95%CI: 0.78-0.85). Sensitivity analysis showed similar results. No publication bias existed (t=0.380, P=0.712). The diagnostic ability of miRNAs were moderate for ovarian cancer. Further research was required to obtain accurate results.
All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 License.