Literature DB >> 29505859

Systematic reviews do not adequately report or address missing outcome data in their analyses: a methodological survey.

Lara A Kahale1, Batoul Diab1, Romina Brignardello-Petersen2, Arnav Agarwal3, Reem A Mustafa4, Joey Kwong5, Ignacio Neumann6, Ling Li7, Luciane Cruz Lopes8, Matthias Briel9, Jason W Busse10, Alfonso Iorio11, Per Olav Vandvik12, Paul Elias Alexander13, Gordon Guyatt11, Elie A Akl14.   

Abstract

OBJECTIVES: To describe how systematic review authors report and address categories of participants with potential missing outcome data of trial participants. STUDY DESIGN AND
SETTING: Methodological survey of systematic reviews reporting a group-level meta-analysis.
RESULTS: We included a random sample of 50 Cochrane and 50 non-Cochrane systematic reviews. Of these, 25 reported in their methods section a plan to consider at least one of the 10 categories of missing outcome data; 42 reported in their results, data for at least one category of missing data. The most reported category in the methods and results sections was "unexplained loss to follow-up" (n = 34 in methods section and n = 6 in the results section). Only 19 reported a method to handle missing data in their primary analyses, which was most often complete case analysis. Few reviews (n = 9) reported in the methods section conducting sensitivity analysis to judge risk of bias associated with missing outcome data at the level of the meta-analysis; and only five of them presented the results of these analyses in the results section.
CONCLUSION: Most systematic reviews do not explicitly report sufficient information on categories of trial participants with potential missing outcome data or address missing data in their primary analyses.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Imputation; Meta-analysis; Missing outcome data; Risk of bias; Systematic reviews; Trials

Mesh:

Year:  2018        PMID: 29505859     DOI: 10.1016/j.jclinepi.2018.02.016

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


  8 in total

1.  Pattern-mixture model in network meta-analysis of binary missing outcome data: one-stage or two-stage approach?

Authors:  Loukia M Spineli; Katerina Papadimitropoulou; Chrysostomos Kalyvas
Journal:  BMC Med Res Methodol       Date:  2021-01-07       Impact factor: 4.615

2.  How robust are findings of pairwise and network meta-analysis in the presence of missing participant outcome data?

Authors:  Loukia M Spineli; Chrysostomos Kalyvas; Katerina Papadimitropoulou
Journal:  BMC Med       Date:  2021-12-21       Impact factor: 8.775

3.  The impact of conducting preclinical systematic reviews on researchers and their research: A mixed method case study.

Authors:  Julia M L Menon; Merel Ritskes-Hoitinga; Pandora Pound; Erica van Oort
Journal:  PLoS One       Date:  2021-12-13       Impact factor: 3.240

4.  Methodological survey of missing outcome data in an alteplase for ischemic stroke meta-analysis.

Authors:  Ravi Garg
Journal:  Acta Neurol Scand       Date:  2022-06-02       Impact factor: 3.915

5.  Meta-Analyses Proved Inconsistent in How Missing Data Were Handled Across Their Included Primary Trials: A Methodological Survey.

Authors:  Lara A Kahale; Assem M Khamis; Batoul Diab; Yaping Chang; Luciane Cruz Lopes; Arnav Agarwal; Ling Li; Reem A Mustafa; Serge Koujanian; Reem Waziry; Jason W Busse; Abeer Dakik; Lotty Hooft; Gordon H Guyatt; Rob J P M Scholten; Elie A Akl
Journal:  Clin Epidemiol       Date:  2020-05-27       Impact factor: 4.790

6.  Comparison of exclusion, imputation and modelling of missing binary outcome data in frequentist network meta-analysis.

Authors:  Loukia M Spineli; Chrysostomos Kalyvas
Journal:  BMC Med Res Methodol       Date:  2020-02-28       Impact factor: 4.615

Review 7.  A tutorial on methodological studies: the what, when, how and why.

Authors:  Lawrence Mbuagbaw; Daeria O Lawson; Livia Puljak; David B Allison; Lehana Thabane
Journal:  BMC Med Res Methodol       Date:  2020-09-07       Impact factor: 4.615

Review 8.  Potential impact of missing outcome data on treatment effects in systematic reviews: imputation study.

Authors:  Lara A Kahale; Assem M Khamis; Batoul Diab; Yaping Chang; Luciane Cruz Lopes; Arnav Agarwal; Ling Li; Reem A Mustafa; Serge Koujanian; Reem Waziry; Jason W Busse; Abeer Dakik; Holger J Schünemann; Lotty Hooft; Rob Jpm Scholten; Gordon H Guyatt; Elie A Akl
Journal:  BMJ       Date:  2020-08-26
  8 in total

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