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Impact of missing participant data for dichotomous outcomes on pooled effect estimates in systematic reviews: a protocol for a methodological study

BACKGROUND: There is no consensus on how authors conducting meta-analysis should deal with trial participants with missing outcome data. The objectives of this study are to assess in Cochrane and non-Cochrane systematic reviews: (1) which categories of trial participants the systematic review author...

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Autores principales: Akl, Elie A, Kahale, Lara A, Agarwal, Arnav, Al-Matari, Nada, Ebrahim, Shanil, Alexander, Paul Elias, Briel, Matthias, Brignardello-Petersen, Romina, Busse, Jason W, Diab, Batoul, Iorio, Alfonso, Kwong, Joey, Li, Ling, Lopes, Luciane Cruz, Mustafa, Reem, Neumann, Ignacio, Tikkinen, Kari AO, Vandvik, Per Olav, Zhang, Yuqing, Alonso-Coello, Pablo, Guyatt, Gordon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4285551/
https://www.ncbi.nlm.nih.gov/pubmed/25423894
http://dx.doi.org/10.1186/2046-4053-3-137
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author Akl, Elie A
Kahale, Lara A
Agarwal, Arnav
Al-Matari, Nada
Ebrahim, Shanil
Alexander, Paul Elias
Briel, Matthias
Brignardello-Petersen, Romina
Busse, Jason W
Diab, Batoul
Iorio, Alfonso
Kwong, Joey
Li, Ling
Lopes, Luciane Cruz
Mustafa, Reem
Neumann, Ignacio
Tikkinen, Kari AO
Vandvik, Per Olav
Zhang, Yuqing
Alonso-Coello, Pablo
Guyatt, Gordon
author_facet Akl, Elie A
Kahale, Lara A
Agarwal, Arnav
Al-Matari, Nada
Ebrahim, Shanil
Alexander, Paul Elias
Briel, Matthias
Brignardello-Petersen, Romina
Busse, Jason W
Diab, Batoul
Iorio, Alfonso
Kwong, Joey
Li, Ling
Lopes, Luciane Cruz
Mustafa, Reem
Neumann, Ignacio
Tikkinen, Kari AO
Vandvik, Per Olav
Zhang, Yuqing
Alonso-Coello, Pablo
Guyatt, Gordon
author_sort Akl, Elie A
collection PubMed
description BACKGROUND: There is no consensus on how authors conducting meta-analysis should deal with trial participants with missing outcome data. The objectives of this study are to assess in Cochrane and non-Cochrane systematic reviews: (1) which categories of trial participants the systematic review authors consider as having missing participant data (MPD), (2) how trialists reported on participants with missing outcome data in trials, (3) whether systematic reviewer authors actually dealt with MPD in their meta-analyses of dichotomous outcomes consistently with their reported methods, and (4) the impact of different methods of dealing with MPD on pooled effect estimates in meta-analyses of dichotomous outcomes. METHODS/DESIGN: We will conduct a methodological study of Cochrane and non-Cochrane systematic reviews. Eligible systematic reviews will include a group-level meta-analysis of a patient-important dichotomous efficacy outcome, with a statistically significant effect estimate. Teams of two reviewers will determine eligibility and subsequently extract information from each eligible systematic review in duplicate and independently, using standardized, pre-piloted forms. The teams will then use a similar process to extract information from the trials included in the meta-analyses of interest. We will assess first which categories of trial participants the systematic reviewers consider as having MPD. Second, we will assess how trialists reported on participants with missing outcome data in trials. Third, we will compare what systematic reviewers report having done, and what they actually did, in dealing with MPD in their meta-analysis. Fourth, we will conduct imputation studies to assess the effects of different methods of dealing with MPD on the pooled effect estimates of meta-analyses. We will specifically calculate for each method (1) the percentage of systematic reviews that lose statistical significance and (2) the mean change of effect estimates across systematic reviews. DISCUSSION: The impact of different methods of dealing with MPD on pooled effect estimates will help judge the associated risk of bias in systematic reviews. Our findings will inform recommendations regarding what assumptions for MPD should be used to test the robustness of meta-analytical results. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2046-4053-3-137) contains supplementary material, which is available to authorized users.
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spelling pubmed-42855512015-01-07 Impact of missing participant data for dichotomous outcomes on pooled effect estimates in systematic reviews: a protocol for a methodological study Akl, Elie A Kahale, Lara A Agarwal, Arnav Al-Matari, Nada Ebrahim, Shanil Alexander, Paul Elias Briel, Matthias Brignardello-Petersen, Romina Busse, Jason W Diab, Batoul Iorio, Alfonso Kwong, Joey Li, Ling Lopes, Luciane Cruz Mustafa, Reem Neumann, Ignacio Tikkinen, Kari AO Vandvik, Per Olav Zhang, Yuqing Alonso-Coello, Pablo Guyatt, Gordon Syst Rev Protocol BACKGROUND: There is no consensus on how authors conducting meta-analysis should deal with trial participants with missing outcome data. The objectives of this study are to assess in Cochrane and non-Cochrane systematic reviews: (1) which categories of trial participants the systematic review authors consider as having missing participant data (MPD), (2) how trialists reported on participants with missing outcome data in trials, (3) whether systematic reviewer authors actually dealt with MPD in their meta-analyses of dichotomous outcomes consistently with their reported methods, and (4) the impact of different methods of dealing with MPD on pooled effect estimates in meta-analyses of dichotomous outcomes. METHODS/DESIGN: We will conduct a methodological study of Cochrane and non-Cochrane systematic reviews. Eligible systematic reviews will include a group-level meta-analysis of a patient-important dichotomous efficacy outcome, with a statistically significant effect estimate. Teams of two reviewers will determine eligibility and subsequently extract information from each eligible systematic review in duplicate and independently, using standardized, pre-piloted forms. The teams will then use a similar process to extract information from the trials included in the meta-analyses of interest. We will assess first which categories of trial participants the systematic reviewers consider as having MPD. Second, we will assess how trialists reported on participants with missing outcome data in trials. Third, we will compare what systematic reviewers report having done, and what they actually did, in dealing with MPD in their meta-analysis. Fourth, we will conduct imputation studies to assess the effects of different methods of dealing with MPD on the pooled effect estimates of meta-analyses. We will specifically calculate for each method (1) the percentage of systematic reviews that lose statistical significance and (2) the mean change of effect estimates across systematic reviews. DISCUSSION: The impact of different methods of dealing with MPD on pooled effect estimates will help judge the associated risk of bias in systematic reviews. Our findings will inform recommendations regarding what assumptions for MPD should be used to test the robustness of meta-analytical results. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2046-4053-3-137) contains supplementary material, which is available to authorized users. BioMed Central 2014-11-26 /pmc/articles/PMC4285551/ /pubmed/25423894 http://dx.doi.org/10.1186/2046-4053-3-137 Text en © Akl et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Protocol
Akl, Elie A
Kahale, Lara A
Agarwal, Arnav
Al-Matari, Nada
Ebrahim, Shanil
Alexander, Paul Elias
Briel, Matthias
Brignardello-Petersen, Romina
Busse, Jason W
Diab, Batoul
Iorio, Alfonso
Kwong, Joey
Li, Ling
Lopes, Luciane Cruz
Mustafa, Reem
Neumann, Ignacio
Tikkinen, Kari AO
Vandvik, Per Olav
Zhang, Yuqing
Alonso-Coello, Pablo
Guyatt, Gordon
Impact of missing participant data for dichotomous outcomes on pooled effect estimates in systematic reviews: a protocol for a methodological study
title Impact of missing participant data for dichotomous outcomes on pooled effect estimates in systematic reviews: a protocol for a methodological study
title_full Impact of missing participant data for dichotomous outcomes on pooled effect estimates in systematic reviews: a protocol for a methodological study
title_fullStr Impact of missing participant data for dichotomous outcomes on pooled effect estimates in systematic reviews: a protocol for a methodological study
title_full_unstemmed Impact of missing participant data for dichotomous outcomes on pooled effect estimates in systematic reviews: a protocol for a methodological study
title_short Impact of missing participant data for dichotomous outcomes on pooled effect estimates in systematic reviews: a protocol for a methodological study
title_sort impact of missing participant data for dichotomous outcomes on pooled effect estimates in systematic reviews: a protocol for a methodological study
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4285551/
https://www.ncbi.nlm.nih.gov/pubmed/25423894
http://dx.doi.org/10.1186/2046-4053-3-137
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