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间皮素在卵巢癌诊断中价值的Meta分析

Diagnostic value of mesothelin in ovarian cancer: a meta-analysis

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【作者】 曲波王海琳马守叶

【Author】 QU Bo;WANG Hailin;MA Shouye;Department of Gynecology,the People’s Hospital of Gansu Province;

【机构】 甘肃省人民医院妇科

【摘要】 目的系统评价血清标志物间皮素在卵巢癌中的诊断价值。方法计算机检索Pub Med、Web of Science、The Cochrane Library、CBM、CNKI和Wan Fang Data数据库,搜集间皮素诊断卵巢癌的诊断性试验,检索时限从建库至2016年10月。由2位研究者独立筛选文献、提取资料和评价纳入研究的偏倚风险后,采用MetaDi Sc 1.4、Stata 12和Rev Man 5.2软件进行统计分析,计算其合并敏感度(Sen_合并)、特异性(Spe合并)、诊断比值比(DOR),绘制汇总受试者工作特征(SROC)曲线并计算曲线下面积(AUC)。结果共纳入17个研究,包括2 052例患者。Meta分析结果显示:间皮素诊断卵巢癌的Sen_合并、Spe_合并、DOR分别为0.63[95%(0.60,0.67)]、0.92[95%(0.90,0.93)]、26.62[95%(14.96,47.38)],AUC和Q指数分别为0.915 1和0.847 8。结论当前证据显示,间皮素诊断卵巢癌特异性较高而敏感度较低,不能单独作为生物标志物用于卵巢癌的检测,应与其它标志物进行联合检测。

【Abstract】 Objective To estimate the diagnostic value of mesothelin in ovarian cancer. Methods Pub Med, The Cochrane Library, CBM, CNKI and Wan Fang Data databases were searched from inception to October 2016 to collect relevant diagnostic accuracy studies of mesothelin in ovarian cancer. Two reviewers independently screened literature,extracted data and assessed the risk of bias of included studies. Statistical analysis was performed using Meta-Disc 1.4,Stata 12.0 and Rev Man 5.2 softwares. The pooled sensitivity, specificity and diagnostic odds ratio were calculated, the summary receiver operating characteristic curve(SROC) was drawn and the area under the curve(AUC) was calculated.Results Seventeen studies involving 2 052 patients were included. The pooled sensitivity, specificity, DOR were 0.63(95%CI 0.60 to 0.67), 0.92(95%CI 0.90 to 0.93) and 26.62(95%CI 14.96 to 47.38), respectively. The AUC and Q index were 0.915 1 and 0.847 8, respectively. Conclusion The current evidence indicates that mesothelin has high specificity and low sensitivity, which can’t be used alone as a biomarker for the detection of ovarian cancer, but should be combined with other biomarkers.

【关键词】 卵巢癌间皮素生物标志物诊断Meta分析
【Key words】 Ovarian cancerMesothelinBiomarkersDiagonosisMeta-analysis
【基金】 国家自然科学基金(编号:81260387)
  • 【文献出处】 中国循证医学杂志 ,Chinese Journal of Evidence-Based Medicine , 编辑部邮箱 ,2017年11期
  • 【分类号】R737.31
  • 【被引频次】2
  • 【下载频次】228
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