Repository of Research and Investigative Information

Repository of Research and Investigative Information

Kurdistan University of Medical Sciences

microRNAs as novel diagnostic biomarkers in endometriosis patients: a systematic review and meta-analysis

(2022) microRNAs as novel diagnostic biomarkers in endometriosis patients: a systematic review and meta-analysis. Expert review of molecular diagnostics.

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Official URL: https://www.ncbi.nlm.nih.gov/pubmed/34304687

Abstract

OBJECTIVE: To investigate whether miRNAs have a remarkable pooled diagnostic accuracy, sensitivity, and specificity as noninvasive biomarkers to distinguish endometriosis patients from non-endometriosis women. METHODS: A comprehensive literature search of PubMed, Embase, and ProQuest was performed through February 21, 2021 to find relevant studies. Two reviewers independently screened each article, and discrepancies were resolved by consensus. Deeks' funnel plot asymmetry test was performed to assess the publication bias of included studies. The STATA software and RevMan 5.4 were used for data analysis and quality assessment, respectively. RESULTS: The overall quality of the studies was moderate to high. In total 87 datasets were assessed miRNAs' performance which results in sensitivity: 0.82, specificity: 0.79, DOR: 18, NPV: 0.80, PPV: 0.78, PLR: 3.97, and NLR: 022. We conducted subgroup analyses, which showed panels of miRNAs (DOR: 54) and serum (DOR: 43) as a target tissue was more reliable to utilize as biomarkers. Deeks' funnel plot showed that there is no publication bias (P-value = 0.25). CONCLUSIONS: Panels of miRNAs differentiate endometriosis patients from non-endometriosis women with high sensitivity and specificity; therefore, it has the potential to use as a noninvasive biomarker.

Item Type: Article
Keywords: Biomarkers *Endometriosis/diagnosis/genetics Female Humans *MicroRNAs/genetics Endometriosis biomarker meta-analysis miRNA noninvasive
Page Range: pp. 479-495
Journal or Publication Title: Expert review of molecular diagnostics
Volume: 22
Number: 4
Depositing User: مهندس مهدی شریفی
URI: http://eprints.muk.ac.ir/id/eprint/5373

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