胶质细胞原纤维酸性蛋白诊断脑缺血性疾病的Meta分析

发布时间：2018-06-29 01:39

本文选题：胶质细胞原纤维酸性蛋白 + Meta分析　；参考：《中国现代医学杂志》2017年14期

【摘要】：目的通过Meta分析探讨胶质细胞原纤维酸性蛋白(GFAP)在鉴别脑出血(ICH)及缺血性脑卒中(IS)的诊断价值。方法检索Pubmed、Web of Science、Embase、万方中文科技期刊数据库、中国知网数据库,筛选有关GFAP对ICH和IS诊断的研究文献,检索时间均由建库至2016年12月31日。提取数据后计算合并敏感性、特异性、诊断比值比(DOR)、阳性似然比(PLR)、阳性似然比(NLR)及对应的95% CI;异质性采用I~2检验分析,绘制汇总受试者工作特征曲线,并计算曲线下面积(AUC)。采用Stata 12.0软件绘制漏斗图,评价纳入文献的发表性偏倚。采用Metadisc 1.4软件对数据进行分析。结果纳入9篇文献,合计1057例。Meta分析结果显示,GFAP诊断汇总敏感性为74%(68%~80%),汇总特异性为91%(88%~93%),汇总PLR及NLR分别为11.63(4.75~28.50)和0.30(0.17~0.51),DOR的95% CI:(21.51,106.40),AUC为0.9109。结论 GFAP对于鉴别ICH和IS有较高的诊断价值,值得临床推广应用。
[Abstract]:Objective to investigate the diagnostic value of glial fibrillary acidic protein (GFAP) in differentiating cerebral hemorrhage (ICH) from ischemic stroke (is) by meta-analysis. Methods We searched Pubmedus Web of Science and Technology Embase, Wanfang Chinese Science and Technology Journal Database and China knowledge Network Database, and screened the research literature on the diagnosis of ICH and is by GFAP. The retrieval time was from the establishment of the database to December 31, 2016. After extracting the data, the sensitivity, specificity, diagnostic ratio (DOR), positive likelihood ratio (PLR), positive likelihood ratio (NLR) and corresponding 95% CI were calculated. The funnel map was drawn by Stata 12.0 software, and the published bias was evaluated. The data were analyzed by Metadisc 1.4 software. Results the total diagnostic sensitivity of GFAP was 74% (68 / 80%), the specificity was 91% (88 / 93%), the total PLR and NLR were 11. 63 (4. 75 ~ 28. 50) and 0. 30 (0. 170.51) of DOR 95% CI: (21. 51106.40) AUC = 0. 9109 respectively. The results of Meta-analysis showed that the diagnostic sensitivity of GFAP was 74% (68 / 80%), and the aggregation specificity was 91% (88 / 93%). Conclusion GFAP has a high diagnostic value in differentiating ICH from is, and is worthy of clinical application.
【作者单位】：华中科技大学同济医学院附属武汉中心医院神经内科;
【基金】：湖北省卫计委课题(No:2014CFC1109)
【分类号】：R743.3

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