PROBAST: an opportunity to pilot test a new risk of bias tool for prediction modelling studies

Article type
Authors
Wolff R1, Moons KGM2, Mallett S3, Whiting P4, Kleijnen J1, Riley R5, Westwood M6
1Kleijnen Systematic Reviews Ltd, United Kingdom
2Julius Center for Health Sciences and Primary Care, UMC Utrecht, The Netherlands
3University of Oxford, United Kingdom
4Kleijnen Systematic Reviews, United Kingdom
5School of Health and Population Sciences, and School of Mathematics, University of Birmingham, UK
6Kleijnen Systematic Reviews Ltd, UK
Abstract
Objectives:

Quality assessment of included studies is a crucial step in any systematic review. Review and synthesis of prediction modelling studies is a relatively new and evolving area. The QUIPS tool for prediction finding studies has been recently updated. However, a tool facilitating quality assessment for prognostic and diagnostic prediction modelling studies is needed. We are currently developing PROBAST, a tool for assessing the risk of bias and applicability of prediction modelling studies.

Description:

The workshop will be split into two sessions. The first session will be an overview of the development and structure of PROBAST. We have used a Delphi process, including thirty-nine experts in the field of prediction research. Feedback from the first rounds of our survey suggests that a domain-based approach similar to that implemented in QUADAS-2 will be used. The presentation will give an overview of the process, the current version of the tool (including the domains covered and signalling questions) as well as an insight into underlying discussions. In the second half of the workshop, participants will have the opportunity to discuss and pilot-test PROBAST. Feedback gathered during the workshop will contribute to the evaluation, and possible revision, of PROBAST.