Literature DB >> 25537265

Multivariate meta-analysis helps examine the impact of outcome reporting bias in Cochrane rheumatoid arthritis reviews.

Giacomo Frosi1, Richard D Riley2, Paula R Williamson3, Jamie J Kirkham3.   

Abstract

OBJECTIVES: Outcome reporting bias (ORB) is a threat to validity of systematic reviews. Multivariate meta-analysis (MVMA) can potentially reduce the impact of ORB when outcomes are correlated. The aim of this study was to assess ORB in Cochrane systematic reviews of rheumatoid arthritis and to demonstrate how MVMA may examine its impact. STUDY DESIGN AND
SETTING: Reviews were assessed for ORB in relation to eight outcomes for rheumatoid arthritis using a nine-point classification system. Impact of ORB was assessed by comparing estimates from univariate meta-analysis and MVMA models.
RESULTS: ORB assessment was applied in 21 included reviews, and all contained missing data on at least one of the eight outcomes. ORB was highly suspected in 247 (22%) of the 1,118 evaluable outcomes from 155 assessable trials. MVMA and univariate results sometimes differed importantly. The maximum change in treatment effect estimate between MVMA and univariate meta-analysis approach was found to be 176% for one of the outcome considered.
CONCLUSION: ORB has the potential to affect the conclusions in meta-analyses. This could be avoided if trialists reported on all measured outcomes in full. If missing outcome data are unobtainable, MVMA is useful to examine the impact of missing outcomes and ORB on conclusions.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Correlation; Multivariate meta-analysis; Outcome reporting bias; Rheumatoid arthritis; Systematic reviews

Mesh:

Year:  2014        PMID: 25537265     DOI: 10.1016/j.jclinepi.2014.11.017

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  6 in total

1.  Multivariate network meta-analysis to mitigate the effects of outcome reporting bias.

Authors:  Hyunsoo Hwang; Stacia M DeSantis
Journal:  Stat Med       Date:  2018-06-07       Impact factor: 2.373

2.  Approaches to Assessing and Adjusting for Selective Outcome Reporting in Meta-analysis.

Authors:  Jeffrey L Jackson; Ethan M Balk; Noorie Hyun; Akira Kuriyama
Journal:  J Gen Intern Med       Date:  2021-10-19       Impact factor: 6.473

3.  Joint Estimation of Remission and Response for Methotrexate-Based DMARD Options in Rheumatoid Arthritis: A Bivariate Network Meta-Analysis.

Authors:  Gyanendra Pokharel; Rob Deardon; Cheryl Barnabe; Vivian Bykerk; Susan J Bartlett; Louis Bessette; Gilles Boire; Carol A Hitchon; Edward Keystone; Janet Pope; Orit Schieir; Diane Tin; Carter Thorne; Glen S Hazlewood
Journal:  ACR Open Rheumatol       Date:  2019-08-08

4.  Multivariate meta-analysis of critical care meta-analyses: a meta-epidemiological study.

Authors:  John L Moran
Journal:  BMC Med Res Methodol       Date:  2021-07-18       Impact factor: 4.615

5.  Bayesian bivariate meta-analysis of correlated effects: Impact of the prior distributions on the between-study correlation, borrowing of strength, and joint inferences.

Authors:  Danielle L Burke; Sylwia Bujkiewicz; Richard D Riley
Journal:  Stat Methods Med Res       Date:  2016-03-17       Impact factor: 3.021

6.  Empirical comparison of univariate and multivariate meta-analyses in Cochrane Pregnancy and Childbirth reviews with multiple binary outcomes.

Authors:  Malcolm J Price; Helen A Blake; Sara Kenyon; Ian R White; Dan Jackson; Jamie J Kirkham; James P Neilson; Jonathan J Deeks; Richard D Riley
Journal:  Res Synth Methods       Date:  2019-08-12       Impact factor: 5.273

  6 in total

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