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作 者:胡道军[1] 秦兵[1] 郁淼[1] 沈宝岩 张莉[1]
机构地区:[1]上海交通大学医学院附属新华医院崇明分院检验科,上海202150
出 处:《现代检验医学杂志》2014年第5期93-96,共4页Journal of Modern Laboratory Medicine
摘 要:目的:评价循环miRNAs对乳腺癌的诊断价值。方法检索 PubMed,Embase和 Cochrane外文数据库以及中国知网、维普、万方等中文数据库2014年6月之前发表的相关文献,12篇参考文献纳入研究,采用 Meta-Disc1.4软件统计,随机效应模型计算合并敏感度、特异度、阳/阴性似然比和诊断比值比,以sROC曲线法分析miRNAs总体诊断性能。采用stata12.0软件分析现有的参考文献是否存在发表偏倚。结果循环 miRNAs诊断乳腺癌的合并灵敏度是80%(95%CI 0.77-0.82),合并特异度是78%(95%CI 0.75-0.81);合并阳性似然比是4.09(95%CI 2.80-5.99),合并阴性似然比是0.22(95%CI 0.15-0.31);合并诊断比值比是20.64(95%CI 10.24-41.62);sROC曲线下面积(AUC)为0.89,Q值为0.82。已有的研究存在发表偏倚。结论循环miRNAs可作为一项潜在的生物标记物用于乳腺癌的诊断。Objective To assess circulating miRNAs’diagnosis value of breast cancer.Methods Conducted PubMed,Embase, the Cochrane Library,CNKI,cqvip,and wangfang database search in any language before June 2014.A total of 12 publica-tions were included in the meta-analysis.Then,the meta-analysis was performed using Meta-Disc 1.4.Meanwhile,the diag-nostic sensitivity,specitivity,positive likelyhood ratio,negative likelyhood ratio and diagnostic odds ratio were pooled by ran-dom-effects models.And the overall diagnostic performance was estimated by summary receiver operating characteristic curves (sROC)approaches.Stata12.0 was used to evaluated the publication bias.Results The pooled sensitivity was 80%(95%CI 0.77-0.82),specificity was 78% (95%CI 0.75-0.81);positive likelihood ratio was 4.09 (95%CI 2.80-5.99), negative likelihood ratio was 0.22 (95%CI 0.15-0.31),diagnostic odds rations was 20.64 (95%CI 10.24-41.62).The AUC for circulating miRNAs was 0.89 with Q value of 0.82.Publication bias was observed in existing literatures.Conclu-sion Circulating miRNAs is a potential biomarker in the diagnosis of breast cancer.
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