Literature DB >> 31942603

The Galaxy Plot: A New Visualization Tool for Bivariate Meta-Analysis Studies.

Chuan Hong, Rui Duan, Lingzhen Zeng, Rebecca A Hubbard, Thomas Lumley, Richard D Riley, Haitao Chu, Stephen E Kimmel, Yong Chen.   

Abstract

Funnel plots have been widely used to detect small-study effects in the results of univariate meta-analyses. However, there is no existing visualization tool that is the counterpart of the funnel plot in the multivariate setting. We propose a new visualization method, the galaxy plot, which can simultaneously present the effect sizes of bivariate outcomes and their standard errors in a 2-dimensional space. We illustrate the use of the galaxy plot with 2 case studies, including a meta-analysis of hypertension trials with studies from 1979-1991 (Hypertension. 2005;45(5):907-913) and a meta-analysis of structured telephone support or noninvasive telemonitoring with studies from 1966-2015 (Heart. 2017;103(4):255-257). The galaxy plot is an intuitive visualization tool that can aid in interpreting results of multivariate meta-analysis. It preserves all of the information presented by separate funnel plots for each outcome while elucidating more complex features that may only be revealed by examining the joint distribution of the bivariate outcomes.
© The Author(s) 2020. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  barycenter; bivariate meta-analysis; funnel plots; small-study effects; visualization tools

Mesh:

Year:  2020        PMID: 31942603      PMCID: PMC7438574          DOI: 10.1093/aje/kwz286

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  24 in total

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Authors:  J A Sterne; D Gavaghan; M Egger
Journal:  J Clin Epidemiol       Date:  2000-11       Impact factor: 6.437

2.  Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.

Authors:  S Duval; R Tweedie
Journal:  Biometrics       Date:  2000-06       Impact factor: 2.571

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Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

4.  In an empirical evaluation of the funnel plot, researchers could not visually identify publication bias.

Authors:  Norma Terrin; Christopher H Schmid; Joseph Lau
Journal:  J Clin Epidemiol       Date:  2005-09       Impact factor: 6.437

5.  Comparison of active treatment and placebo in older Chinese patients with isolated systolic hypertension. Systolic Hypertension in China (Syst-China) Collaborative Group.

Authors:  L Liu; J G Wang; L Gong; G Liu; J A Staessen
Journal:  J Hypertens       Date:  1998-12       Impact factor: 4.844

6.  Structured telephone support or non-invasive telemonitoring for patients with heart failure.

Authors:  Sally C Inglis; Robyn A Clark; Riet Dierckx; David Prieto-Merino; John G F Cleland
Journal:  Heart       Date:  2016-11-18       Impact factor: 5.994

7.  Randomised double-blind comparison of placebo and active treatment for older patients with isolated systolic hypertension. The Systolic Hypertension in Europe (Syst-Eur) Trial Investigators.

Authors:  J A Staessen; R Fagard; L Thijs; H Celis; G G Arabidze; W H Birkenhäger; C J Bulpitt; P W de Leeuw; C T Dollery; A E Fletcher; F Forette; G Leonetti; C Nachev; E T O'Brien; J Rosenfeld; J L Rodicio; J Tuomilehto; A Zanchetti
Journal:  Lancet       Date:  1997-09-13       Impact factor: 79.321

8.  Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials.

Authors:  Jonathan A C Sterne; Alex J Sutton; John P A Ioannidis; Norma Terrin; David R Jones; Joseph Lau; James Carpenter; Gerta Rücker; Roger M Harbord; Christopher H Schmid; Jennifer Tetzlaff; Jonathan J Deeks; Jaime Peters; Petra Macaskill; Guido Schwarzer; Sue Duval; Douglas G Altman; David Moher; Julian P T Higgins
Journal:  BMJ       Date:  2011-07-22

9.  Multivariate meta-analysis using individual participant data.

Authors:  R D Riley; M J Price; D Jackson; M Wardle; F Gueyffier; J Wang; J A Staessen; I R White
Journal:  Res Synth Methods       Date:  2014-11-21       Impact factor: 5.273

10.  Why Most Clinical Research Is Not Useful.

Authors:  John P A Ioannidis
Journal:  PLoS Med       Date:  2016-06-21       Impact factor: 11.069

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  1 in total

1.  Diagnostic performances of common nucleic acid tests for SARS-CoV-2 in hospitals and clinics: a systematic review and meta-analysis.

Authors:  Wing Ying Au; Peter Pak Hang Cheung
Journal:  Lancet Microbe       Date:  2021-10-13
  1 in total

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