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血清HE4、CA125和ROMA对卵巢癌诊断价值的Meta分析

发布时间:2018-07-24 10:29
【摘要】:目的:目前CAl25、HE4和ROMA可用于诊断卵巢癌,国内外许多研究报道了它们对卵巢癌诊断价值的比较。然而,,其中这些诊断方法哪个能产生最佳的诊断准确性并没有被最终确定。因此,本文进行Meta分析以评估这些诊断方法的诊断价值。 方法:系统全面地检索万方、VIP、CNKI、CBM等中文数据库及Pubmed、Medline、The Cochrane Library等英文数据库,共收集了15项关于评估CA125、HE4和Roma对卵巢癌诊断价值的研究,采用Meta—Discl.4软件首先进行阈值效应分析,再根据绝经状态、FIGO分期、病理类型、检测方法和试验设计(盲法试验与无/未报告)对其异质性进行分层亚组分析,采用Stata12.0软件进行敏感性分析并选用Deek’S漏斗图进行发表偏倚检测,采用Z检验对HE4、CA125和Roma检测对卵巢癌的诊断性能进行比较,P0.05为差异有统计学意义。 结果:三种测试方法对于卵巢癌的诊断具有相似的诊断准确度(AUC[95%CI]:HE4为0.88[0.85-0.91];CA125为0.86[0.83-0.89];Roma为0.90[0.87-0.92]),但与CA125和ROMA相比HE4具有更高的特异性(HE493.60[90.00-95.90]CA12582.10[76.60-86.50]和ROMA82.40[77.40-86.50]),尤其是在绝经前亚组(HE493.80[88.40-96.80]CA12576.30[63.30-85.70]和ROMA85.10[80.40-88.80]);与此相反,CA125和Roma在绝经后亚组比在绝经前亚组有更优的诊断准确性(AUC[95%CI]:CA125绝经前0.84[0.81-0.87]绝经后0.91[0.88-0.93];ROMA绝经前0.85[0.82-0.88]绝经后0.92[0.89-0.94])。 结论:HE4由于其高特异性,其将可能成为诊断OCA有用的肿瘤标志物,尤其是对于绝经前女性;CA125和Roma更适合于绝经后女性诊断OCA。这一结论仍需要更多高质量的随机对照试验对其进行验证。
[Abstract]:Objective: Cal 25 he 4 and ROMA can be used in the diagnosis of ovarian cancer. However, which of these diagnostic methods can produce the best diagnostic accuracy has not been finalized. Therefore, Meta analysis is performed to evaluate the diagnostic value of these diagnostic methods. Methods: a total of 15 Chinese databases, such as CNKICBM and Pubmedan Medline Cochrane Library, were searched systematically. Fifteen studies were conducted to evaluate the diagnostic value of CA125HE4 and Roma for ovarian cancer. The threshold effect was analyzed by Meta-Discl.4 software. The heterogeneity was analyzed by stratified subgroup analysis according to the stage of menopausal stage, pathological type, detection method and test design (blind test and no / no report). Sensitivity analysis was carried out by Stata12.0 software and Deek'S funnel graph was used to detect publication bias. Z test was used to compare the diagnostic performance of HE4CA125 and Roma in ovarian cancer. There was significant difference between them (P0.05). 缁撴灉锛氫笁绉嶆祴璇曟柟娉曞浜庡嵉宸㈢檶鐨勮瘖鏂叿鏈夌浉浼肩殑璇婃柇鍑嗙‘搴

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