miRNAs对阿尔茨海默病诊断价值的Meta分析

单煜恒, 林彦琛, 钟士江

武警医学 ›› 2019, Vol. 30 ›› Issue (7) : 584-587.

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武警医学 ›› 2019, Vol. 30 ›› Issue (7) : 584-587.
论著

miRNAs对阿尔茨海默病诊断价值的Meta分析

  • 单煜恒, 林彦琛, 钟士江
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Diagnostic value of MiRNAs for Alzheimer’s disease: a meta-analysis

  • SHAN Yuheng, LIN Yanchen, ZHONG Shijiang
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摘要

目的 系统评价利用miRNAs诊断阿尔茨海默病(Alzheimer disease,AD)的准确性。方法 按照检索式检索PubMed、Web of science、中国期刊全文数据库(CNKI),查找有关miRNAs诊断AD的诊断性临床试验,按照文献纳入及排除标准筛选文献,评价纳入文献质量,最终提取数据资料,应用Stata 13.1软件进行Meta分析。结果 共纳入10篇文献。miRNAs诊断阿尔茨海默病的合并敏感度(Sen)=0.87[95%CI(0.79,0.91)]、合并特异度(Spe)=0.84[95%CI(0.79,0.91)]、合并阳性似然比(PLR)=5.23[95%CI(3.04,9.24)]、合并阴性似然比(NLR)=0.16[95%CI(0.10,0.26)]、诊断比值比(DOR)=32.86[95%CI(13.73,78.59)]、受试者工作特征曲线(SROC)的曲线下面积(AUC)=0.92 [95%CI(0.89,0.94)]。结论 miRNAs对AD的诊断具有一定价值,但受纳入研究的质量与发表偏倚所限,上述结论需谨慎看待。探讨miRNAs在AD的诊断价值仍需高质量的研究加以验证。

Abstract

Objective To systematically review the diagnostic value of miRNAs for Alzheimer’s disease.Methods According to the inclusion and exclusion criteria, articles were selected from medical electronic databases, including Pubmed, Web of Science and CNKI. Meta-analysis was performed using Stata 13.0 software.Results A total of ten articles involving twenty studies were included. The Results of meta-analysis showed that the pooled Sen was 0.87[95%CI(0.79,0.91)],pooled Spe was 0.84[95%CI(0.79,0.91)],pooled PLR was 5.23[95%CI(3.04,9.24)],pooled NLR was 0.16[95%CI(0.10,0.26)],pooled DOR was 32.86[95%CI(13.73,78.59)],and the AUC of SROC was 0.92[95%CI(0.89,0.94)]. Conclusions Current evidence suggests that miRNAs may be a specific index to diagnose AD. But because of the limited quality and publication bias of the included studies, more high-quality studies are needed to verify the above conclusion.

关键词

阿尔茨海默病 / miRNAs / 诊断 / meta分析

Key words

Alzheimer’s disease / miRNAs / diagnosis / meta-analysis

引用本文

导出引用
单煜恒, 林彦琛, 钟士江. miRNAs对阿尔茨海默病诊断价值的Meta分析[J]. 武警医学. 2019, 30(7): 584-587
GONG Huaqu, XING Lina, DAI Xuemei, WANG Haiyang. Diagnostic value of MiRNAs for Alzheimer’s disease: a meta-analysis[J]. Medical Journal of the Chinese People Armed Police Forces. 2019, 30(7): 584-587
中图分类号: R473   

参考文献

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基金

天津市卫生行业重点公关项目(16KG136);武警后勤学院附属医院重点项目(FYZ201601)

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