Clinical prediction models for medication adverse events in patients with rheumatic and musculoskeletal conditions: A systematic literature review.

Journal: Seminars in arthritis and rheumatism
Published Date: Apr 11, 2025

Abstract

OBJECTIVES: This systematic review aims to identify, summarize, and evaluate the methodological quality of existing clinical prediction models (CPMs) that predict adverse events (AEs) associated with medications prescribed for rheumatic and musculoskeletal diseases (RMDs).

Authors

  • Christina Diomatari
    Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, The University of Manchester, Manchester, UK; NIHR Manchester Biomedical Research Centre, Manchester NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
  • Glen P Martin
    Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom.
  • David A Jenkins
    Division of Informatics, Imaging and Data Science, The University of Manchester, Manchester, UK.
  • Meghna Jani
    Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK meghna.jani@manchester.ac.uk.

Keywords

External Resources

Popular Topics
Recent Journals