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Systematic Reviews and Meta-Analysis of Prognosis Studies

Content partner
Julius Center
Course coordinator
Dr. J.A.A. Damen
Description

Course

Systematic Reviews and Meta-Analysis of Prognosis Studies

Date
 16 - 20 June 2025
Course co-ordinator

Dr. J.A.A. (Anneke) Damen

Course description

The number of primary studies evaluating prognostic factors and models is rising. Critically summarizing and analyzing the evidence form prognostic studies in a systematic review and meta analysis, respectively,  is beneficial for health care professionals seeking the best evidence. Reviews of prognostic studies are more challenging because of more variation in questions & designs, specific sources of bias & variation, and more complex statistical models, as compared to e.g. randomized therapeutic intervention trials . Several advances regarding the design, critical appraisal and statistical analysis in systematic reviews of prognostic studies, have recently been made. In this course we discuss and practice how to define your review questions, how to critically assess the methodological quality of primary prognostic studies, and which statistical methods to use for meta-analyses of the results of primary prognostic studies. The course consists of plenary presentations, small-group discussions, and computer exercises.

Course objectives

At the end of the course, the student will be able to:

  • Explain the rationale for performing a systematic review of prognostic studies
  • List the key steps of a systematic review of prognostic studies
  • Formulate a focused review question addressing a prognostic problem
  • Critically appraise the evidence from primary prognostic studies using the CHARMS instrument
  • Formulate the difficulties of meta-analysis of prognostic research
  • Understand, interpret and undertake systematic review and meta-analysis of prognostic studies

Prerequisite knowledge

In this course, we expect participants to have a basic knowledge about the principles of prognostic research and of systematic reviews and meta-analysis. A short recap on these topics will be given during the lectures and key papers will be available on this website.

Course days 
Monday, Tuesday, Wednesday, Thursday, Friday
Course format
Lectures, small group discussions, computer exercises, self-study
Assessment
80% attendance and (Open book) Exam.
Number of participants
20
Course fee
€ 1010,00
Prerequisite for participation is sufficiënt capacity in terms of teachers and locations. 

This course can also be followed online. Look at the website http://elevatehealth.eu/courses for more information and costs.


 


Maximum participants
20
Fee (€)
980.00

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