Risk-of-bias VISualization (robvis): An R package and Shiny web app for visualizing risk-of-bias assessments
- PMID:32336025
- DOI: 10.1002/jrsm.1411
Risk-of-bias VISualization (robvis): An R package and Shiny web app for visualizing risk-of-bias assessments
Abstract
Despite a major increase in the range and number of software offerings now available to help researchers produce evidence syntheses, there is currently no generic tool for producing figures to display and explore the risk-of-bias assessments that routinely take place as part of systematic review. However, tools such as the R programming environment and Shiny (an R package for building interactive web apps) have made it straightforward to produce new tools to help in producing evidence syntheses. We present a new tool, robvis (Risk-Of-Bias VISualization), available as an R package and web app, which facilitates rapid production of publication-quality risk-of-bias assessment figures. We present a timeline of the tool's development and its key functionality.
Keywords: R; data visualization; evidence synthesis; risk of bias.
© 2020 The Authors. Research Synthesis Methods published by John Wiley & Sons Ltd.
References
REFERENCES
- Donnelly CA, Boyd I, Campbell P, et al. Four principles to make evidence synthesis more useful for policy. Nature. 2018;558(7710):361-364.https://doi.org/10.1038/d41586-018-05414-4.
- Cochrane Handbook for Systematic Reviews of Interventions Version 6.0 (Updated August 2019)Boutron I, Higgins JP, Altman DG, et al. Chapter 7: considering bias and conflicts of interest among the included studies. In: JPT H, Chandler J, Cumpston M, et al., eds. Cochrane; 2019. Retrieved from.www.training.cochrane.org/handbook.
- Sterne JAC, Savović J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 2019;366:l4898.https://doi.org/10.1136/bmj.l4898.
- Sterne JAC, Hernán MA, Reeves BC, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ. 2016;355:i4919.https://doi.org/10.1136/bmj.i4919.
- Whiting PF, Rutjes AW, Westwood ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155(8):529-536.https://doi.org/10.7326/0003-4819-155-8-201110180-00009.
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