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Clinical Rheumatology

, Volume 37, Issue 11, pp 2999–3007 | Cite as

Diagnostic accuracy of miRNAs as potential biomarkers for systemic lupus erythematosus: a meta-analysis

  • Zi-Wei Dai
  • Hong Wang
  • Wen-Juan Xu
  • Zhi-Hui Wang
  • Sheng-Qian Xu
  • Bin WangEmail author
  • Dong-Qing YeEmail author
Original Article
  • 278 Downloads

Abstract

To systematically evaluate the diagnostic accuracy of miRNAs as potential biomarkers for systemic lupus erythematosus (SLE). Studies were searched in PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), and China Biology Medicine (CBM) disc database, and languages were limited in English and Chinese. QUADAS-2 tool was applied to assess the quality of eligible studies. Random-effect model was applied to calculate pooled effects of miRNAs on diagnosing SLE. Subgroup analysis was used to explore the sources of heterogeneity. All data were calculated and analyzed by Meta-Disc 1.4 and RevMan 5.3 software. Six eligible studies were included in this meta-analysis. The pooled sensitivity, specificity, and diagnostic odds ratio of miRNAs were 0.75(95% CI 0.71–0.79), 0.72(95% CI 0.66–0.78), and 8.79(95% CI 4.91–15.73), respectively. The pooled positive likelihood ratio was 2.71(95% CI 2.20–3.33) and negative likelihood ratio was 0.34(95% CI 0.24–0.48). The area under the curve was 0.787. The subgroup analysis showed that the number of healthy controls might be the sources of heterogeneity. MiRNAs in blood have moderate accuracy and influence on diagnosing SLE, and the exact diagnostic value should be confirmed by further studies.

Keywords

Diagnosis Meta-analysis MiRNAs Systemic lupus erythematosus 

Notes

Funding

This study was supported by Grants National Natural Science Foundation of China (No. 81573217, 81172764), and Scientific Research of BSKY from Anhui Medical University (No. XJ201301).

Compliance with ethical standards

Disclosures

None.

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Copyright information

© International League of Associations for Rheumatology (ILAR) 2018

Authors and Affiliations

  1. 1.Department of Epidemiology and Biostatistics, School of Public HealthAnhui Medical University, Anhui Province Key Laboratory of Major Autoimmune DiseasesHefeiChina
  2. 2.Department of Rheumatology and ImmunologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina

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