Liang Zhenzhen, Liu Xin, Zhang Qian, Wang Chunpeng, Zhao Yinlong
Dept. Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
School of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin, China.
Dig Liver Dis. 2016 Oct;48(10):1227-32. doi: 10.1016/j.dld.2016.07.006. Epub 2016 Jul 18.
It has been reported that microRNAs might serve as biomarkers for cholangiocarcinoma (CCA) detection, but their diagnostic accuracy are unclear and controversial.
To evaluate the diagnostic accuracy of microRNAs for CCA.
PubMed, Embase, Web of Science and Cochrane Library were systematically searched to identify relevant articles by using the key words "cholangiocarcinoma" and "microRNA". The methodological quality of each study was assessed by QUADAS-2. According to the inclusive and exclusive criteria, 11 articles were identified and analyzed by Meta-disc software v.1.4 and STATA 12.0 software package.
11 articles with 430 CCA patients and 406 controls were identified. The results showed that the pooled sensitivity was 0.756 (95% CI: 0.693-0.810), specificity was 0.914 (95% CI: 0.861-0.947), positive likelihood ratio was 8.747 (95% CI: 5.320-14.381), negative likelihood ratio was 0.267 (95% CI: 0.208-0.341) and diagnostic odds ratio was 32.791 (95% CI: 17.327, 62.060). In addition, the area under the summary ROC cure (AUC) was 0.90 (95% CI: 0.87-0.93).
MicroRNAs have great potential as biomarkers for the diagnosis of CCA patients. However, the clinical application of microRNA assays for CCA diagnosis still needs further validation by more prospective studies.
据报道,微小RNA可能作为胆管癌(CCA)检测的生物标志物,但其诊断准确性尚不清楚且存在争议。
评估微小RNA对CCA的诊断准确性。
通过使用关键词“胆管癌”和“微小RNA”,系统检索PubMed、Embase、Web of Science和Cochrane图书馆以识别相关文章。每项研究的方法学质量由QUADAS - 2评估。根据纳入和排除标准,识别出11篇文章,并使用Meta - disc软件v.1.4和STATA 12.0软件包进行分析。
识别出11篇文章,共430例CCA患者和406例对照。结果显示,合并敏感度为0.756(95%可信区间:0.693 - 0.810),特异度为0.914(95%可信区间:0.861 - 0.947),阳性似然比为8.747(95%可信区间:5.320 - 14.381),阴性似然比为0.267(95%可信区间:0.208 - 0.341),诊断比值比为32.791(95%可信区间:17.327,62.060)。此外,汇总ROC曲线下面积(AUC)为0.90(95%可信区间:0.87 - 0.93)。
微小RNA作为CCA患者诊断的生物标志物具有巨大潜力。然而,微小RNA检测在CCA诊断中的临床应用仍需更多前瞻性研究进一步验证。