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A Systematic Review of Methodology Used in Studies Aimed at Creating Charts of Fetal Brain Structures

机译:用于研究旨在创造胎儿脑结构图表的研究方法的系统审查

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摘要

Ultrasound-based assessment of the fetal nervous system is routinely recommended at the time of the mid-trimester anatomy scan or at different gestations based on clinical indications. This review evaluates the methodological quality of studies aimed at creating charts for fetal brain structures obtained by ultrasound, as poor methodology could explain substantial variability in percentiles reported. Electronic databases (MEDLINE, EMBASE, Cochrane Library, and Web of Science) were searched from January 1970 to January 2021 to select studies on singleton fetuses, where the main aim was to construct charts on one or more clinically relevant structures obtained in the axial plane: parieto-occipital fissure, Sylvian fissure, anterior ventricle, posterior ventricle, transcerebellar diameter, and cisterna magna. Studies were scored against 29 predefined methodological quality criteria to identify the risk of bias. In total, 42 studies met the inclusion criteria, providing data for 45,626 fetuses. Substantial heterogeneity was identified in the methodological quality of included studies, and this may explain the high variability in centiles reported. In 80% of the studies, a high risk of bias was found in more than 50% of the domains scored. In conclusion, charts to be used in clinical practice and research should have an optimal study design in order to minimise the risk of bias and to allow comparison between different studies. We propose to use charts from studies with the highest methodological quality.
机译:在妊娠期解剖学扫描或基于临床适应症的不同妊娠时,常规推荐基于超声的胎儿神经系统的评估。该审查评估了旨在为超声获得的胎儿脑结构创造图表的方法的方法论质量,因为较差的方法可以解释报告的百分比中的大量变化。从1970年1月至1月2021年搜索了电子数据库(Medline,Embase,Cochrane图书馆和科学网站)选择对单身胎儿的研究,主要目的是在轴向平面中获得的一个或多个临床相关结构构建图表:平原枕骨裂隙,西尔维亚裂缝,前心室,后心室,超塞直径和CISTERNA MAGNA。对29个预定义的方法质量标准进行评分,以确定偏倚的风险。共有42项研究符合纳入标准,提供45,626胎的数据。在包括研究的方法论质量的情况下确定了大量的异质性,这可以解释尼斯报告的高度变异性。在80%的研究中,超过50%的域名发现了高风险的偏见。总之,在临床实践和研究中使用的图表应该具有最佳的研究设计,以最大限度地减少偏差的风险,并允许在不同研究之间进行比较。我们建议使用具有最高方法质量的研究图表。

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