Detection of Gestational Diabetes Mellitus by Circulating Plasma and Serum MicroRNAs: A Systematic Review and Meta-analysis

Background And Aims: The diagnostic performance of microRNAs (miRNAs), which have recently emerged as a potential early diagnostic tool capable of detecting gestational diabetes mellitus (GDM) in its early stages, has yet to be systematically investigated. This meta-analysis aims to investigate the diagnostic utility of circulating plasma or serum miRNAs in detecting GDM patients.

Methods: Eligible studies were included and assessed for risk of bias with the Quality Assessment of Diagnostic Accuracy Studies 2 tool. A bivariate meta-analysis using the hierarchical summary receiver operating characteristic model was performed to estimate the pooled diagnostic value of miRNAs.

Results: Twelve studies (32 index tests) cumulating a total of 1768 patients were included in the present study. The pooled sensitivity of miRNAs was 74.5% (95% confidence interval [CI]: 63.7-82.9) and the pooled specificity was 84.1% (95% CI: 76.8-89.3). The overall area under the curve was 0.869 (95% CI: 0.818-0.907) with a relatively narrow 95% confidence region and a wide 95% prediction region.

Conclusion: miRNAs may emerge as a promising diagnostic tool in detecting GDM. Further cross-sectional cohort studies with larger sample sizes and more heterogeneous populations, and studies evaluating the accuracy of multiple miRNAs in diagnosing GDM are required to confirm our findings.