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Authors Feng S, He A, Wang D, Kang B
Received 20 August 2018
Accepted for publication 26 November 2018
Published 9 January 2019 Volume 2019:12 Pages 479—493
DOI https://doi.org/10.2147/OTT.S184564
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Justinn Cochran
Peer reviewer comments 2
Editor who approved publication: Dr XuYu Yang
Abstract: A large
number of studies have explored the diagnostic value of miR-210 as a potential
diagnostic cancer biomarker to detect various cancers in patients. However, the
results of its diagnostic accuracy and reliability in individual studies are
still inconsistent. Therefore, we conducted this updated pooled analysis to
derive a more reliable conclusion of the overall accuracy of miR-210 in cancer
detection and diagnosis. A comprehensive literature search was performed using
the PubMed, Cochrane Library, Web of Science, China National Knowledge
Infrastructure, and Wanfang databases. The quality of all eligible studies was
scored according to Quality Assessment of Diagnostic Accuracy Studies-2
guidelines. The bivariate mixed model was applied to pooled sensitivity,
specificity, likelihood ratios, and diagnostic ORs. The summary receiver
operator characteristic (SROC) curve and the hierarchical SROC models were used
to check overall diagnostic performance. Thirty articles with 2,304 patients
and 1,673 controls were included in this study. The pooled parameters
calculated from all studies are as follows: sensitivity -0.74 (95% CI:
0.68–0.79), specificity -0.79 (95% CI: 0.74–0.83), positive likelihood ratio
-3.57 (95% CI: 2.85–4.47), negative likelihood ratio -0.32 (95% CI: 0.26–0.40),
diagnostic OR -10.98 (95% CI: 7.55–15.98), SROC -0.84 (95% CI: 0.80–0.87). All
of these results revealed that miR-210 had relatively moderate accuracy in
distinguishing patients with various cancers from all other individuals.
However, well-designed prospective studies with large sample sizes using
different groups of the population are urgently warranted to confirm our
findings.
Keywords: microRNA-210,
cancer, biomarker, diagnosis, meta-analysis, ROC
