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Diagnostic accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for detecting major depression in pregnant and postnatal women: protocol for a systematic review and individual patient data meta-analyses

机译:爱丁堡产后抑郁量表(EPDS)在孕妇和产后妇女中检测到严重抑郁的诊断准确性:系统评价方案和个体患者数据荟萃分析

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Introduction Studies of the diagnostic accuracy of depression screening tools often used data-driven methods to select optimal cut-offs. Typically, these studies report results from a small range of cut-off points around whatever cut-off score is identified as most accurate. When published data are combined in meta-analyses, estimates of accuracy for different cut-off points may be based on data from different studies, rather than data from all studies for each cut-off point. Thus, traditional meta-analyses may exaggerate accuracy estimates. Individual patient data (IPD) meta-analyses synthesise data from all studies for each cut-off score to obtain accuracy estimates. The 10-item Edinburgh Postnatal Depression Scale (EPDS) is commonly recommended for depression screening in the perinatal period. The primary objective of this IPD meta-analysis is to determine the diagnostic accuracy of the EPDS to detect major depression among women during pregnancy and in the postpartum period across all potentially relevant cut-off scores, accounting for patient factors that may influence accuracy (age, pregnancy vs postpartum). Methods and analysis Data sources will include Medline, Medline In-Process & Other Non-Indexed Citations, PsycINFO, and Web of Science. Studies that include a diagnosis of major depression based on a validated structured or semistructured clinical interview administered within 2?weeks of (before or after) the administration of the EPDS will be included. Risk of bias will be assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Bivariate random-effects meta-analysis will be conducted for the full range of plausible cut-off values. Analyses will evaluate data from pregnancy and the postpartum period separately, as well as combining data from all women in a single model. Ethics and dissemination This study does not require ethics approval. Dissemination will include journal articles and presentations to policymakers, healthcare providers and researchers. Systematic review registration PROSPERO 2015:CRD42015024785.
机译:简介对抑郁症筛查工具的诊断准确性的研究通常使用数据驱动的方法来选择最佳的临界值。通常,这些研究报告的结果是在任何临界值被确定为最准确的情况下,都来自较小的临界点。当将发表的数据合并到荟萃分析中时,不同临界点的准确度估计值可能基于不同研究的数据,而不是每个临界点的所有研究的数据。因此,传统的荟萃分析可能会夸大准确性估计。单独的患者数据(IPD)荟萃分析汇总了所有研究的每个截止评分的数据,以获得准确性估算值。通常建议将10项爱丁堡产后抑郁量表(EPDS)用于围产期的抑郁症筛查。该IPD荟萃分析的主要目的是确定EPDS的诊断准确性,以检测所有可能相关的临界值中孕妇在怀孕期间和产后期间的严重抑郁症,并考虑可能影响准确性的患者因素(年龄,怀孕与产后)。方法和分析数据来源将包括Medline,Medline进行中和其他非索引引文,PsycINFO和Web of Science。将包括基于在EPDS施用之前或之后2周内进行的有效结构或半结构临床访谈对严重抑郁症进行诊断的研究。偏倚风险将通过“诊断准确性研究2的质量评估”工具进行评估。将对所有可能的临界值进行双变量随机效应荟萃分析。分析人员将分别评估怀孕和产后的数据,并将所有妇女的数据合并到一个模型中。伦理与传播本研究不需要伦理学的批准。传播将包括期刊文章和对决策者,医疗保健提供者和研究人员的介绍。系统审核注册PROSPERO 2015:CRD42015024785。

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