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Frontiers in Medical Science Research, 2022, 4(6); doi: 10.25236/FMSR.2022.040604.

Diagnostic Value of microRNAs for Gastric Carcinoma: a Meta-Analysis

Author(s)

Zheng Han, Yifu Zhang, Huixia Zhu

Corresponding Author:
Huixia Zhu
Affiliation(s)

Department of Clinical Medicine, Medical School of Nantong University, Nantong, Jiangsu, 226001, China

Abstract

Purpose: To systematically evaluate the potential diagnostic value of MicroRNA for gastric cancer (GC). Methods: The relevant literature was identified in databases such as PubMed, Embase and the Cochrane Library (up to December 25, 2020). Two researchers independently selected the literature based on the inclusion and exclusion criteria, extracted data, and evaluated the risk of bias. Review Manager 5.4, Meta-Disc 1.4 and STATA (version 15.1) software were performed the Meta-analysis. Results: A total of 5914 patients from 41 studies were ultimately included. The pooled sensitivity (SENS) was 0.79 (95% CI: 0.75–0.82), the pooled specificity (SPEC) was 0.87 (95% CI: 0.82–0.91), the pooled positive likelihood ratio (PLR) was 4.95 (95% CI: 3.81–6.43), the pooled negative likelihood ratio (NLR) was 0.28 (95% CI: 0.24–0.32), the pooled diagnostic odds ratio (DOR) was 20.53 (95% CI: 14.57–28.94), and the area under the curve (AUC) was 0.87 (95% CI: 0.84–0.90). A Deeks’ funnel plot demonstrates no publication bias existed (P=0.40). Meta-regression analysis showed that sample size, sample source and sample type were potential sources of heterogeneity. Conclusions: MicroRNA might be the potential biomarke diagnosing gastric cancer. 

Keywords

MicroRNA; gastric cancer; diagnosis; Meta-analysis

Cite This Paper

Zheng Han, Yifu Zhang, Huixia Zhu. Diagnostic Value of microRNAs for Gastric Carcinoma: a Meta-Analysis. Frontiers in Medical Science Research (2022) Vol. 4, Issue 6: 17-27. https://doi.org/10.25236/FMSR.2022.040604.

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