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miRNAs 作为系统性红斑狼疮潜在生物标志物的诊断准确性:一项荟萃分析。

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

机构信息

Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Anhui Province Key Laboratory of Major Autoimmune Diseases, 81 Meishan Road, Hefei, 230032, Anhui, China.

Department of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui, China.

出版信息

Clin Rheumatol. 2018 Nov;37(11):2999-3007. doi: 10.1007/s10067-018-4189-9. Epub 2018 Jul 6.

DOI:10.1007/s10067-018-4189-9
PMID:29980876
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.

摘要

系统性评价 microRNA(miRNA)作为系统性红斑狼疮(SLE)潜在生物标志物的诊断准确性。检索PubMed、Web of Science、中国知网(CNKI)和中国生物医学文献数据库(CBM disc),语言限制为英语和中文。采用 QUADAS-2 工具评估合格研究的质量。应用随机效应模型计算 miRNA 诊断 SLE 的汇总效应。采用亚组分析探索异质性的来源。所有数据均由 Meta-Disc 1.4 和 RevMan 5.3 软件计算和分析。本荟萃分析纳入了 6 项合格研究。miRNA 的汇总敏感度、特异度和诊断比值比分别为 0.75(95%CI 0.71-0.79)、0.72(95%CI 0.66-0.78)和 8.79(95%CI 4.91-15.73)。汇总阳性似然比为 2.71(95%CI 2.20-3.33),阴性似然比为 0.34(95%CI 0.24-0.48)。曲线下面积为 0.787。亚组分析表明,健康对照组的数量可能是异质性的来源。血液中的 miRNA 对诊断 SLE 具有中等准确性和影响,其确切的诊断价值还需进一步研究证实。

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本文引用的文献

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Mod Rheumatol. 2018 Jul;28(4):642-648. doi: 10.1080/14397595.2017.1385154. Epub 2017 Nov 9.
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