A systematic review and meta-analysis of miRNAs for the detection of cervical cancer

Aim: This study aimed to critically appraise the evidence of the diagnostic effectiveness of miRNAs for the detection of cervical cancer. Methods & materials: A systematic review and meta-analysis was performed, searching PubMed, EMBASE and Web of Science. An umbrella meta-analysis of meta-analyses of individual biomarkers was performed. A Grading of Recommendations, Assessment, Development and Evaluations (GRADE) assessment of evidence was also performed. Results: A total of 52 miRNAs were included. Umbrella meta-analysis revealed significant heterogeneity in terms of sensitivity, specificity, receiver operating characteristic (ROC), positive predictive value and/or negative predictive value. Umbrella effects were 0.76 (95% CI: 0.73-0.78), 0.78 (95% CI: 0.75-0.81), 0.77 (95% CI: 0.75-0.80), 0.75 (95% CI: 0.71-0.79) and 0.76 (95% CI: 0.74-0.79), respectively. Conclusion: Moderate quality evidence suggested miR199a-5p, miR21-5p and miR-141a had excellent diagnostic performance.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:15

Enthalten in:

Epigenomics - 15(2023), 10 vom: 20. Mai, Seite 593-613

Sprache:

Englisch

Beteiligte Personen:

Hillyar, Christopher Rt [VerfasserIn]
Kanabar, Shivani S [VerfasserIn]
Pufal, Kamil R [VerfasserIn]
Saw Hee, Joshua Li [VerfasserIn]
Lawson, Alexander W [VerfasserIn]
Mohamed, Yethrib [VerfasserIn]
Jasim, Duha [VerfasserIn]
Reed, Lara [VerfasserIn]
Rallis, Kathrine S [VerfasserIn]
Nibber, Anjan [VerfasserIn]

Links:

Volltext

Themen:

Biomarker
Biomarkers
Biomarkers, Tumor
Cervical cancer
Cervical intraepithelial neoplasia
Journal Article
Meta-Analysis
Meta-analysis
MiRNA sensitivity
MicroRNAs
Negative predictive value
Positive predictive value
ROC
Review
Specificity
Systematic Review

Anmerkungen:

Date Completed 11.08.2023

Date Revised 15.08.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.2217/epi-2023-0183

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM360350593