Strengthening the reporting of observational studies in epidemiology using mendelian randomisation (STROBE-MR): explanation and elaboration

Veronika Skrivankova(University of Bern), Rebecca C. Richmond(University of Bristol), Benjamin Woolf(University of Bristol), Neil M Davies(Norwegian University of Science and Technology), Sonja A. Swanson(Erasmus MC), Tyler J. VanderWeele(Harvard University), Nicholas J. Timpson(University of Bristol), Julian P. T. Higgins(University of Bristol), Niki Dimou(Centre international de recherche sur le cancer), Claudia Langenberg(University of Cambridge), Elizabeth Loder(Harvard University), Robert Golub(Northwestern University), Matthias Egger(University of Bern), George Davey Smith(University of Bristol), J. Brent Richards(University of London)
BMJ
October 26, 2021
Cited by 1,673Open Access
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Abstract

In observational epidemiology, mendelian randomisation (MR) studies provide an opportunity to study the causal association between an exposure and an outcome while reducing the risk of certain biases Little consensus exists around the reporting of MR studies, and the quality of reporting of these studies has been inconsistent; many MR study reports do not state or examine the various assumptions of MR and report insufficient details on the data sources STROBE-MR (strengthening the reporting of observational studies in epidemiology using mendelian randomisation), a checklist of 20 reporting items, has been developed for the communication of MR studies This article explains the rationale of these checklist items and provides examples of transparent reporting MR study authors, reviewers, and journal editors are encouraged to use STROBE-MR to improve the reporting of these studies on 18 July


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