Chen Ying, Liu Wei
Department of Ultrosound, The First Hospital of Yulin.
Department of Ultrosound, Xing Yuan Hospital of Yulin, Yulin, China.
Medicine (Baltimore). 2019 Nov;98(45):e17907. doi: 10.1097/MD.0000000000017907.
This study will evaluate diagnostic accuracy and management outcome studies involving patients assessed with prenatal ultrasound diagnosis (PUD) for fetal renal abnormalities (FRA).
We will search the following electronic databases of MEDLINE, EMBASE, Cochrane Library, Web of Science, Springer, Cumulative Index to Nursing and Allied Health Literature, Allied and Complementary Medicine Database, Chinese Biomedical Literature Database, and China National Knowledge Infrastructure for diagnostic accuracy studies from inceptions to the present without language restrictions. Two authors will independently screen studies, collect data, and assess methodological quality.We will use RevMan V.5.3 and Stata V.12.0 software for data pooling and statistical analysis.
In this study, we will assess sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio to determine the diagnostic accuracy of PUD for the treatment of patients with FRA.
This study will provide latest evidence for the diagnostic accuracy of PUD for FRA.
PROSPERO CRD42019151306.
本研究将评估对胎儿肾异常（FRA）进行产前超声诊断（PUD）评估的患者的诊断准确性和管理结果研究。
我们将检索以下电子数据库，包括MEDLINE、EMBASE、Cochrane图书馆、科学网、施普林格、护理及相关健康文献累积索引、补充与替代医学数据库、中国生物医学文献数据库和中国知网，检索从创刊至今的诊断准确性研究，无语言限制。两名作者将独立筛选研究、收集数据并评估方法学质量。我们将使用RevMan V.5.3和Stata V.12.0软件进行数据合并和统计分析。
在本研究中，我们将评估敏感性、特异性、阳性似然比、阴性似然比和诊断比值比，以确定PUD对FRA患者治疗的诊断准确性。
本研究将为PUD对FRA的诊断准确性提供最新证据。
PROSPERO CRD42019151306。
