神经预后研究在方法论上是否考虑了自我实现预言的偏差?关于系统评价的SPIN方案。

Fernanda J P Teixeira, Bakhtawar Ahmad, Viktoriya Gibatova, Pouya A Ameli, Ivan da Silva, Thiago Carneiro, William Roth, Jenna L Ford, Terry Kit Selfe, David M Greer, Katharina M Busl, Carolina B Maciel
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引用次数: 1

摘要

当感知到的预后导致固有地改变患者结果的治疗决策,从而过度夸大预后方法的预测性能时,就会发生自我实现预言偏差。这一系列系统综述的目的是通过评估与这种偏差相关的披露因素的充分性,来描述神经预后研究在其方法中解释自我实现预言偏差的潜在影响的程度。方法:评估神经预后工具在心脏骤停、恶性缺血性卒中、外伤性脑损伤、蛛网膜下腔出血和自发性脑出血预测性能的研究将通过PubMed、Cochrane和Embase数据库检索进行识别。两名对彼此评估不知情的审稿人将使用Distiller SR和遵循系统评价和荟萃分析指南的首选报告项目对纳入的研究进行筛选和数据提取。我们将提取与自我实现预言偏差相关的研究方法相关的数据。结果:我们将对数据进行描述性分析。我们将根据死亡时间和死亡模式、停止维持生命治疗的暴露率、支持治疗局限性背后的原因、标准化神经预测算法的系统使用以及正在研究的工具是否属于此类评估的一部分,以及治疗团队对正在评估的神经预后测试结果的盲化进行总结。结论:我们将确定神经预后研究的方法是否对影响自我实现预言偏差的因素是透明的。我们的研究结果将作为标准化神经预后研究方法的基础,通过改进来自此类研究的数据质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Do Neuroprognostic Studies Account for Self-Fulfilling Prophecy Bias in Their Methodology? The SPIN Protocol for a Systematic Review.

Self-fulfilling prophecy bias occurs when a perceived prognosis leads to treatment decisions that inherently modify outcomes of a patient, and thus, overinflate the prediction performance of prognostic methods. The goal of this series of systematic reviews is to characterize the extent to which neuroprognostic studies account for the potential impact of self-fulfilling prophecy bias in their methodology by assessing their adequacy of disclosing factors relevant to this bias.

Methods: Studies evaluating the prediction performance of neuroprognostic tools in cardiac arrest, malignant ischemic stroke, traumatic brain injury, subarachnoid hemorrhage, and spontaneous intracerebral hemorrhage will be identified through PubMed, Cochrane, and Embase database searches. Two reviewers blinded to each other's assessment will perform screening and data extraction of included studies using Distiller SR and following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We will abstract data pertinent to the methodology of the studies relevant to self-fulfilling prophecy bias.

Results: We will conduct a descriptive analysis of the data. We will summarize the reporting of mortality according to timing and mode of death, rates of exposure to withdrawal of life-sustaining therapy, reasoning behind limitations of supportive care, systematic use of standardized neuroprognostication algorithms and whether the tool being investigated is part of such assessments, and blinding of treatment team to results of neuroprognostic test being evaluated.

Conclusions: We will identify if neuroprognostic studies have been transparent in their methodology to factors that affect the self-fulfilling prophecy bias. Our results will serve as the foundation for standardization of neuroprognostic study methodologies by refining the quality of the data derived from such studies.

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