Impact of missing participant data for dichotomous outcomes on pooled effect estimates in systematic reviews : A protocol for a methodological study
Akl, Elie A (McMaster University (Canadà))
Kahale, Lara A. (American University of Beirut Medical Center)
Agarwal, Arnav (McMaster University (Canadà))
Al-Matari, Nada (American University of Beirut Medical Center)
Ebrahim, Shanil (Stanford University)
Alexander, Paul E. (McMaster University (Canadà))
Briel, Matthias (University Hospital Basel (Basilea, Suïssa))
Brignardello-Petersen, Romina (Universidad de Chile)
Busse, Jason W. (The Michael G. McMaster University (Canadà))
Diab, Batoul (American University of Beirut Medical Center)
Iorio, Alfonso (McMaster University (Canadà))
Kwong, Joey (Sichuan University)
Li, Ling (Sichuan University)
Lopes, Luciane Cruz (University of Sorocaba)
Mustafa, Reem (University of Missouri)
Neumann, Ignacio (Pontificia Universidad Católica de Chile)
Tikkinen, Kari AO (University of Helsinki)
Vandvik, Per Olav (Innlandet Hospital Trust (Noruega))
Zhang, Yuqing (McMaster University (Canadà))
Alonso-Coello, Pablo (Institut d'Investigació Biomèdica Sant Pau)
Guyatt, Gordon (McMaster University (Canadà))
Universitat Autònoma de Barcelona

Data:	2014
Resum:	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.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Meta-analysis ; Missing participant data ; Imputation ; Risk of bias ; Systematic reviews ; Trials
Publicat a:	Systematic Reviews, Vol. 3 Núm. 1 (november 2014) , p. 137, ISSN 2046-4053

DOI: 10.1186/2046-4053-3-137
PMID: 25423894

10 p, 330.7 KB

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