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Meta-analysis

Relationship between diagnostic accuracy of microRNAs for NSCLC and number of combined microRNAs: an overview with meta-analysis

, , , , &
Pages 983-993 | Received 12 Mar 2021, Accepted 23 Jun 2021, Published online: 15 Jul 2021
 

ABSTRACT

Objective: Several systematic reviews (SRs) have assessed the diagnostic accuracy of microRNAs (miRNAs) for NSCLC, and this overview aimed to assess the relationship between diagnostic accuracy of miRNAs for NSCLC and number of microRNAs combinations. Methods: Embase.com, PubMed, the Cochrane Library, and Web of Science were searched. The PRISMA-DTA was used for reporting quality evaluation. Meta-analysis was conducted to assess the pooled diagnostic accuracy of different miRNAs combinations, and subgroup analyses were performed based on the source of miRNA. Results: Fourteen SRs with 91 original studies were included. Three SRs had minimal reporting flaws, and 11 SRs had medium flaws. The pooled sensitivity and specificity were 0.76 and 0.80 for single miRNA, 0.80 and 0.81 for two miRNAs combined, 0.82 and 0.88 for three miRNAs combined, 0.88 and 0.92 for four miRNAs combined, 0.87 and 0.87 for five miRNAs combined, and 0.87 and 0.89 for six or more miRNAs combined. And miR-21 was mostly appeared. Subgroup analyses suggested that the serum-derived miRNA had the relatively best diagnostic value compared to other sources. Conclusions: Future studies should explore specific and serum-derived miRNAs in NSCLC and combine them to improve the diagnosis accuracy of NSCLC, which had great significance in economic efficiency.

Acknowledgments

The authors thank all investigators and supporters involved in this study.

Author contributions

M. Li, Y. Gao, and J. Tian planned and designed the study. M. Li, Y. Gao, and J. Shi screened potential studies and extracted data from the included studies. M Li, Y Zhang, and M Zhang assessed the quality of included studies and summarized the evidence. M. Li, Y. Gao, and J. Tian performed the statistical analysis. M. Li and Y. Gao wrote the first draft. J Tian revised the draft. All authors approved the final version of the manuscript.

Data availability statement

All datasets generated for this study are included in the manuscript.

Declaration of interest

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

Reviewer Disclosures

Peer reviewers in this manuscript have no relevant financial or other relationships to disclose.

Ethical approval

Ethical approval and patient consent are not required since this is an overview based on published studies.

Informed consent

All analyses were based on previously published studies; thus, no informed consent is required.

Supplementary material

Supplemental data for this article can be accessed here.

Novelty and impact

Multiple miRNAs had better diagnostic accuracy than a single in identifying NSCLC, but it was not the higher the number of miRNAs combined, the better the diagnostic accuracy. Serum-derived miRNAs could be more considered because of its better economic effect. Further studies should explore specific miRNAs in NSCLC and combine them to improve the diagnosis accuracy of NSCLC, which had great significance in economic efficiency.

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