Literature DB >> 34954645

How to report E-values for meta-analyses: Recommended improvements and additions to the new GRADE approach.

Maya B Mathur1, Tyler J VanderWeele2.   

Abstract

In a recent concept paper (Verbeek et al., 2021), the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) Working Group provides a preliminary proposal to improve its existing guidelines for assessing sensitivity to uncontrolled confounding in meta-analyses of nonrandomized studies. The new proposal centers on reporting the E-value for the meta-analytic mean and on comparing this E-value to a measured "reference confounder" to determine whether residual uncontrolled confounding in the meta-analyzed studies could or could not plausibly explain away the meta-analytic mean. Although we agree that E-value analogs for meta-analyses could be an informative addition to future GRADE guidelines, we suggest improvements to the Verbeek et al. (2021)'s specific proposal regarding: (1) their interpretation of comparisons between the E-value and the strengths of associations of a reference confounder; (2) their characterization of evidence strength in meta-analyses in terms of only the meta-analytic mean; and (3) the possibility of confounding bias that is heterogeneous across studies.
Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Bias; Confounding; Meta-analysis; Observational studies; Sensitivity analysis

Mesh:

Year:  2021        PMID: 34954645      PMCID: PMC8959014          DOI: 10.1016/j.envint.2021.107032

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  14 in total

1.  Sensitivity Analysis in Observational Research: Introducing the E-Value.

Authors:  Tyler J VanderWeele; Peng Ding
Journal:  Ann Intern Med       Date:  2017-07-11       Impact factor: 25.391

2.  Web Site and R Package for Computing E-values.

Authors:  Maya B Mathur; Peng Ding; Corinne A Riddell; Tyler J VanderWeele
Journal:  Epidemiology       Date:  2018-09       Impact factor: 4.822

3.  Correcting Misinterpretations of the E-Value.

Authors:  Tyler J VanderWeele; Maya B Mathur; Peng Ding
Journal:  Ann Intern Med       Date:  2019-01-01       Impact factor: 25.391

4.  Finding Common Ground in Meta-Analysis "Wars" on Violent Video Games.

Authors:  Maya B Mathur; Tyler J VanderWeele
Journal:  Perspect Psychol Sci       Date:  2019-06-12

5.  GRADE guidelines: 18. How ROBINS-I and other tools to assess risk of bias in nonrandomized studies should be used to rate the certainty of a body of evidence.

Authors:  Holger J Schünemann; Carlos Cuello; Elie A Akl; Reem A Mustafa; Jörg J Meerpohl; Kris Thayer; Rebecca L Morgan; Gerald Gartlehner; Regina Kunz; S Vittal Katikireddi; Jonathan Sterne; Julian Pt Higgins; Gordon Guyatt
Journal:  J Clin Epidemiol       Date:  2018-02-09       Impact factor: 6.437

6.  Sensitivity Analysis Without Assumptions.

Authors:  Peng Ding; Tyler J VanderWeele
Journal:  Epidemiology       Date:  2016-05       Impact factor: 4.822

7.  New metrics for meta-analyses of heterogeneous effects.

Authors:  Maya B Mathur; Tyler J VanderWeele
Journal:  Stat Med       Date:  2018-12-04       Impact factor: 2.373

8.  Commentary: Developing best-practice guidelines for the reporting of E-values.

Authors:  Tyler J VanderWeele; Maya B Mathur
Journal:  Int J Epidemiol       Date:  2020-10-01       Impact factor: 7.196

9.  The puzzling relationship between multi-laboratory replications and meta-analyses of the published literature.

Authors:  Molly Lewis; Maya B Mathur; Tyler J VanderWeele; Michael C Frank
Journal:  R Soc Open Sci       Date:  2022-02-23       Impact factor: 3.653

10.  Are Greenland, Ioannidis and Poole opposed to the Cornfield conditions? A defence of the E-value.

Authors:  Tyler J VanderWeele
Journal:  Int J Epidemiol       Date:  2022-05-09       Impact factor: 9.685

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  1 in total

1.  E-values for effect heterogeneity and approximations for causal interaction.

Authors:  Maya B Mathur; Louisa H Smith; Kazuki Yoshida; Peng Ding; Tyler J VanderWeele
Journal:  Int J Epidemiol       Date:  2022-08-10       Impact factor: 9.685

  1 in total

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