Circulating non-coding RNAs as non-invasive diagnostic markers of endometriosis: a comprehensive meta-analysis
Circulating non-coding RNAs as non-invasive diagnostic markers of endometriosis: a comprehensive meta-analysis
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DOI：
10.1007/s00404-019-05290-x
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发表时间：
2019-10
影响因子：
2.6
通讯作者：
Yanhui Li;Qionghua Chen
中科院分区：
文献类型：
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作者：
Yanhui Li;Qionghua Chen
背景循环非编码RNA作为子宫内膜异位症的非侵袭性诊断标志物具有很大的潜力。方法检索Pubmed、Embase、Web of Science、科克伦图书馆等英文数据库和CNKI、王芳、维普、杜秀、超星等中文数据库，对纳入的文献进行分析。采用Stata 15软件计算总体敏感度、特异度、阴性似然比、阳性似然比、诊断优势比、ROC曲线等。I2检验Meta分析的异质性，漏斗图评价Meta分析是否存在发表偏倚。结果通过全面阅读和整合所提取的数据，我们纳入了11篇已发表的文献。纳入病例组的总人数为453人，对照组为362人。通过双变量分析，我们分别计算了一般敏感性和一般特异性，分别为0.81（95% CI 0.76-0.85）和0.77（95% CI 0.71-0.82）。ROC曲线下面积为0.86（95%CI 0.83-0.89）。研究间存在显著异质性，I2 = 89.62%（95% CI 87.41%~ 91.83%）。Meta回归和亚组分析结果显示，异质性可能来自金标准、评价标准、实验组规模、实验样本和种族。结论循环非编码RNA作为非侵袭性标记物，具有较强的诊断子宫内膜异位症的能力，且具有稳健性和准确性。
BackgroundCirculating non-coding RNAs have great potential for diagnosing endometriosis as non-invasive markers. We have assessed the potential accuracy and utility for diagnosis of endometriosis.MethodsWe searched many bases to identify the included literature, which included English bases, such as, Pubmed, Embase, Web of Science, Cochrane library and Chinese bases, for instance, CNKI, Wang Fang, VIP, DuXiu, ChaoXing. We also calculated the general sensitivity and specificity, negative likelihood ratio, positive likelihood ratio, diagnostic odds ratio, ROC curve plotting and so on with Stata 15.I2could test the heterogeneity of the meta-analysis, the funnel plot valuated whether meta-analysis had a publication bias. Regression analysis could explore heterogeneity in studies.ResultComprehensive reading and integrating extracted data, we included 11 published papers. The total number of people included in the case group was 453, and the control group was 362. We, respectively, calculated the general sensitivity and general specificity which were 0.81 (95% CI 0.76–0.85) and 0.77 (95% CI 0.71–0.82) by bivariate analysis. The area under the ROC curve was 0.86 (95% CI 0.83–0.89). There was significant heterogeneity in studies which isI2= 89.62% (95% CI 87.41%–91.83%). In addition, the results of meta-regression and subgroup analysis showed that the heterogeneity might come from gold standard, evaluation standard, experimental group size, experimental sample and raceConclusionThe circulating non-coding RNAs have great ability of diagnosing endometriosis as non-invasive markers which were performed robustly and accurately.