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Diagnostic value of RNA for hepatocellular carcinoma: a network meta-analysis.

Zhuo HanKeming LiJinyu WuKeyan WangCuipeng QiuHua YeChi CuiChun-Hua SongKaijuan WangJianxiang ShiPeng WangJianying Zhang
Published in: Biomarkers in medicine (2021)
Aim: The aim of this study was to evaluate the capacity of RNA in the diagnosis of hepatocellular carcinoma (HCC). Methods: A systematic review was conducted from PubMed, Cochrane Library, EMBASE and Web of Science databases via well-designed retrieval strategy. Subsequently, the network meta-analysis was performed by the STATA software. Results: Through statistical analysis, the three hypotheses of the network meta-analysis were established. In view of these hypotheses, the diagnostic efficacy of the three markers in HCC (HCC vs healthy people) may be consistent, and the cumulative ranking results showed such a trend: circular RNA >long noncoding RNA >microRNA. Conclusion: Circular RNA may be most effective for diagnosing HCC across the three types of RNA.
Keyphrases
  • systematic review
  • long noncoding rna
  • meta analyses
  • nucleic acid
  • case control
  • randomized controlled trial