粪便钙卫蛋白在炎症性肠病诊断中临床价值的Meta分析
发布时间:2018-03-02 00:30
本文关键词: 炎症性肠病 钙卫蛋白 Meta分析 出处:《重庆医科大学》2017年硕士论文 论文类型:学位论文
【摘要】:目的:系统评价应用粪便钙卫蛋白(fecal calprotectin,FC)诊断炎症性肠病(inflammatory bowel disease,IBD)的临床价值。方法:使用计算机在万方数字化期刊全文数据库、相关期刊论文(CNKI)、Pub Med、Embase数据库进行检索。由两名研究人员独立查找应用FC诊断IBD的文献,筛选出符合纳入标准的文献。使用QUADAS-2工具对所纳入文献进行质量评价。运用Meta-Disc 1.40软件对所提取数据进行统计学分析,计算出汇总灵敏度、汇总特异度及其95%置信区间(95%confidence interval,95%CI)。并绘制出受试者工作特征曲线(summary receiver operating characteristic curve,SROC曲线),计算曲线下面积(area under curve,AUC)及Q*值。使用Stata14软件判断是否存在发表偏倚。结果:共有13篇文献(共21组数据、1385例病例,其中IBD组721例,对照组664例)纳入研究,Meta分析得出FC诊断IBD的汇总灵敏度为0.86(95%CI=0.84-0.88),汇总特异度为0.76(95%CI=0.74-0.79),SROC曲线下面积为0.9169,Q*值为0.8498。结论:FC对诊断IBD有较高的灵敏度、特异度,可用于临床辅助诊断IBD。
[Abstract]:Objective: to systematically evaluate the clinical value of fecal calmodulin (fecal calprotectinus) in the diagnosis of inflammatory bowel disease (IBDs) of inflammatory bowel disease. The Chinese Journal Full-text Database (CNKI) was searched by the Pub Med-Embase database. Two researchers independently searched the literature on the diagnosis of IBD with FC. Select the documents that meet the inclusion criteria. Use the QUADAS-2 tool to evaluate the quality of the included documents. Use Meta-Disc 1.40 software to carry out statistical analysis of the extracted data, and calculate the aggregate sensitivity. Summarize the specificity and its 95% confidence interval. Summarize the receiver operating characteristic curve. Calculate the area under the curve and the QR *. Use the Stata14 software to determine whether there is a publication bias. Results:. 13 articles (21 groups of data, 1385 cases), Among them, 721 cases in IBD group and 664 cases in control group) Meta-analysis showed that the total sensitivity of FC in diagnosing IBD was 0.8695 CI0.84-0.88, and the aggregation specificity was 0.74-0.799.The area under the curve was 0.9169 Q* 0.84980.Conclusion IBD FC has higher sensitivity and specificity in the diagnosis of IBD. It can be used for clinical auxiliary diagnosis of IBD.
【学位授予单位】:重庆医科大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:R574
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