Related Experiment Video
Updated: May 27, 2026

05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Pitfalls in the external validation of FRAX
J A Kanis1, A Oden, H Johansson
1WHO Collaborating Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK. w.j.pontefract@sheffield.ac.uk
Summary
Recent studies evaluating the Fracture Risk Assessment Tool (FRAX®) have used problematic methods. Re-evaluation of these fracture prediction studies is needed for accurate interpretation.
Area of Science:
- Osteoporosis research
- Clinical epidemiology
- Health outcomes research
Background:
- The Fracture Risk Assessment Tool (FRAX®) is a widely used instrument for predicting fracture risk in men and women.
- Extensive validation of FRAX® has been conducted in numerous independent cohorts.
- This study critically reviews methodologies employed in post-launch evaluations of FRAX®.
Purpose of the Study:
- To critically assess the methodologies used in external validation studies of the FRAX® tool.
- To identify common methodological deficits impairing the interpretation of FRAX® performance.
- To provide guidance for future evaluations of fracture prediction models.
Main Methods:
- A critical review of published literature evaluating FRAX® calibration and performance characteristics.
- Analysis of studies comparing FRAX® with other fracture prediction models.
- Identification and critique of statistical and methodological approaches used in external cohort studies.
Main Results:
- Many studies employed inappropriate methodologies for comparing FRAX® performance.
- Common errors include discordant risk parameters, comparison with internally derived predictors, and misuse of receiver operating characteristic curves.
- These methodological deficits significantly hinder the accurate interpretation of study findings.
Conclusions:
- Existing cohort studies evaluating FRAX® performance require cautious interpretation.
- Re-evaluation of these studies using appropriate methodologies is recommended.
- Methodological rigor is crucial for the reliable assessment of fracture prediction tools.

