Reproducible research practices are underused in systematic reviews of biomedical interventions

Publication date: Available online 4 November 2017
Source:Journal of Clinical Epidemiology
Author(s): Matthew J. Page, Douglas G. Altman, Larissa Shamseer, Joanne E. McKenzie, Nadera Ahmadzai, Dianna Wolfe, Fatemeh Yazdi, Ferrán Catalá-López, Andrea C. Tricco, David Moher
ObjectivesTo evaluate how often reproducible research practices, which allow others to recreate the findings of studies, given the original data, are used in systematic reviews (SRs) of biomedical research.Study Design and SettingWe evaluated a random sample of SRs indexed in MEDLINE® during February 2014, which focused on a therapeutic intervention and reported at least one meta-analysis. Data on reproducible research practices in each SR were extracted using a 26-item form by one author, with a 20% random sample extracted in duplicate. We explored whether the use of reproducible research practices was associated with a SR being a Cochrane review, as well as with the reported use of the PRISMA Statement.ResultsWe evaluated 110 SRs of therapeutic interventions, 78 (71%) of which were non-Cochrane SRs. Across the SRs there were 2,139 meta-analytic effects (including subgroup meta-analytic effects and sensitivity analyses), 1,551 (73%) of which were reported in sufficient detail to recreate them. Systematic reviewers reported the data needed to recreate all meta-analytic effects in the SR in 72 (65%) SRs only. This percentage was higher in Cochrane than in non-Cochrane SRs (30/32 [94%] versus 42/78 [54%]; risk ratio 1.74, 95% confidence interval 1.39-2.18). Systematic reviewers who reported imputing, algebraically manipulating, or obtaining some data from the study author/sponsor infrequently stated which specific data were handled in this way. Only 33 (30%) SRs mentioned access to datasets and statistical code used to perform analyses.ConclusionsReproducible research practices are underused in SRs of biomedical interventions. Adoption of such practices facilitates identification of errors and allows the SR data to be re-analysed.



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