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

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)281-289
Number of pages9
JournalResearch Synthesis Methods
Volume8
Issue number3
Early online date28 Apr 2017
DOIs
DateAccepted/In press - 17 Feb 2017
DateE-pub ahead of print - 28 Apr 2017
DatePublished (current) - 1 Sep 2017

Abstract

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.

    Research areas

  • Evidence synthesis, Data visualisation, Meta-analysis, Systematic review

    Structured keywords

  • ICEP

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    Rights statement: This is the final published version of the article (version of record). It first appeared online via Wiley at http://onlinelibrary.wiley.com/doi/10.1002/jrsm.1239/abstract. Please refer to any applicable terms of use of the publisher.

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