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Magnetic resonance spectroscopy as a prognostic marker in neonatal hypoxic-ischemic encephalopathy: a study protocol for an individual patient data meta-analysis

机译:磁共振波谱作为新生儿缺氧缺血性脑病的预后标志物:一项针对单个患者数据荟萃分析的研究方案

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Background The prognostic accuracy of 1H (proton) magnetic resonance spectroscopy (MRS) in neonatal hypoxic-ischemic encephalopathy has been assessed by a criticized study-based meta-analysis. An individual patient data meta-analysis may overcome some of the drawbacks encountered in the aggregate data meta-analysis. Moreover, the prognostic marker can be assessed quantitatively and the effect of covariates can be estimated. Methods Diagnostic accuracy studies relevant to the study topic were retrieved. The primary authors will be invited to share the raw de-identified study data. These individual patient data will be analyzed using logistic regression analysis. A prediction tool calculating the individualized risk of very adverse outcome will be devised. Discussion The proposed individual patient data meta-analysis provides several advantages. Inclusion and exclusion criteria can be applied more uniformly. Furthermore, adjustment is possible for confounding factors and subgroup analyses can be conducted. Our goal is to develop a prediction model for outcome in newborns with hypoxic-ischemic encephalopathy.
机译:背景技术通过批评性的基于研究的荟萃分析评估了 1 H(质子)磁共振波谱(MRS)在新生儿缺氧缺血性脑病中的预后准确性。单个患者数据元分析可以克服聚合数据元分析中遇到的一些缺点。此外,可以定量评估预后指标,并可以评估协变量的效果。方法检索与研究主题相关的诊断准确性研究。主要作者将被邀请分享原始的未识别研究数据。这些个体患者数据将使用逻辑回归分析进行分析。将设计一种预测工具,用于计算非常不利的结果的个体化风险。讨论拟议的个人患者数据荟萃分析具有多个优点。包含和排除标准可以更统一地应用。此外,可以对混杂因素进行调整,并可以进行亚组分析。我们的目标是建立缺氧缺血性脑病新生儿的预后预测模型。

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