Systematic reviews of prognosis studies II: Risk of bias assessment in systematic reviews of prognosis studies

Session Type
Workshop - training
Target audience
Reviewers with an interest in systematic reviews of prognosis studies; basic level of knowledge
Level of difficulty

Background: Prognosis is a description of the probable course of individuals with a health condition. Review and synthesis of overall prognosis, prognostic factor and prediction model studies is a relatively new and evolving area. Critical appraisal of prognosis studies is challenging, but essential to assess and identify biases sufficiently large to distort study results. The QUIPS and PROBAST tools are useful and reliable to assess risk of bias in studies of prognostic factors and prediction models, and the RoB-OPS tool is being developed for assessment of overall prognosis studies. The QUIPS tool can be used to assess risk of bias in studies of prognostic factors. It contains six important areas to evaluate the validity of prognostic factor studies and includes prompting items related to these six areas with suggestions for operationalization and grading. PROBAST is the tool for assessing the quality and risk of bias of prediction model studies. It consists of four domains and 20 signaling questions.
Objectives: This workshop will familiarize participants with sources of bias in overall prognosis, prognostic factor and prognostic model studies, and introduce participants to the QUIPS, PROBAST and RoB-OPS tools.
Description: This interactive workshop will inform and train participants on systematic reviews of overall prognosis, prognostic factors and prognostic models. The workshop will be split into two sessions. The first session will give an overview of the different critical appraisal tools and guidance on how to use it. In the second part of the workshop, participants will have the opportunity to practice with these tools and interpret the results.

Hayden J1
1Department of Community Health & Epidemiology, Dalhousie University, Halifax, Canada