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Micrornas As Novel Diagnostic Biomarkers in Endometriosis Patients: A Systematic Review and Meta-Analysis Publisher Pubmed



Zafari N1 ; Bahramy A2 ; Majidi Zolbin M3 ; Emadi Allahyari S1 ; Farazi E4 ; Hassannejad Z5 ; Yekaninejad MS6
Authors
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Authors Affiliations
  1. 1. Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
  3. 3. Pediatric Urology and Regenerative Medicine Research Center, Section of Tissue Engineering and Stem Cells Therapy, Children’s Hospital Medical Center, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Medicine, School of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran
  5. 5. Pediatric Urology and Regenerative Medicine Research Center, Children’s Medical Center, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

Source: Expert Review of Molecular Diagnostics Published:2022


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. © 2021 Informa UK Limited, trading as Taylor & Francis Group.
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