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The albatross plot:A novel graphical tool for presenting results of diversely reported studies in a systematic review

机译:信天翁图:一种新颖的图形化工具,可在系统综述中展示各种报道的研究结果

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摘要

Meta-analyses combine the results of multiple studies of a common question. Approaches based on effect size estimates from each study are generally regarded as the most informative. However, these methods can only be used if comparable effect sizes can be computed from each study, and this may not be the case because of variation in how the studies were done or limitations in how their results were reported. Other methods, such as vote counting, are then used to summarize the results of these studies, but most of these methods are limited in that they do not provide any indication of the magnitude of effect. We propose a novel plot, the albatross plot, which requires only a one-sided P value and a total sample size from each study (or equivalently a two-sided P value, direction of effect and total sample size). The plot allows an approximate examination of underlying effect sizes and the potential to identify sources of heterogeneity across studies. This is achieved by drawing contours showing the range of effect sizes that might lead to each P value for given sample sizes, under simple study designs. We provide examples of albatross plots using data from previous meta-analyses, allowing for comparison of results, and an example from when a meta-analysis was not possible.
机译:荟萃分析结合了对一个常见问题多次研究的结果。通常将基于每个研究的效应量估计值的方法提供的信息最多。但是,只有在可以从每个研究中计算出可比较的效应量的情况下,才能使用这些方法,并且由于研究方法的不同或报告其结果的方式的局限性,可能并非如此。然后,使用其他方法(例如计票)来总结这些研究的结果,但是这些方法中的大多数受到局限,因为它们无法提供任何影响程度的迹象。我们提出了一个新颖的图,信天翁图,它只需要一个单面P值和每个研究的总样本量(或等效地是一个双面P值,作用方向和总样本量)。该图可以对潜在效应的大小进行近似检查,并可以识别整个研究中的异质性来源。这是通过在简单的研究设计下绘制轮廓线来实现的,该轮廓线显示了可能导致给定样本大小的每个P值的效应大小范围。我们使用以前的荟萃分析数据提供信天翁图的示例,以便进行结果比较,并提供无法进行荟萃分析的示例。

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