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Updated: Jun 20, 2026

Development of a Novel Internal Fixation Model for Rat Radial Fractures: Fracture Healing Assessment and Dorsal Root Ganglion Isolation
Published on: March 13, 2026
From relative risk to absolute fracture risk calculation: the FRAX algorithm
Eugene V McCloskey1, Helena Johansson, Anders Oden
1World Health Organization Collaborating Centre for Metabolic Bone Diseases, University of Sheffield, Sorby Wing, Northern General Hospital, Herries Road, Sheffield S5 7AU, United Kingdom. E.V.McCloskey@sheffield.ac.uk
FRAX is a fracture prediction tool using clinical risk factors and bone density to estimate 10-year fracture probability. Developed using global data, it aids patient assessment for better fracture risk prediction.
Area of Science:
- Osteoporosis and fracture risk assessment
- Biostatistics and predictive modeling
Background:
- Fracture prediction is crucial for osteoporosis management.
- Existing tools may not fully integrate key risk factors.
Purpose of the Study:
- To describe the development of the FRAX tool for fracture probability assessment.
- To enhance fracture risk prediction using clinical risk factors and bone mineral density (BMD).
Main Methods:
- Utilized primary data from global population-based cohorts.
- Developed a computer-based algorithm incorporating clinical risk factors.
- Validated fracture risk gradients in independent cohorts.
Main Results:
- FRAX models estimate 10-year probability of fracture.
- The tool integrates clinical risk factors with or without femoral neck BMD.
- Validated risk gradients demonstrate predictive accuracy.
Conclusions:
- FRAX provides an aid for patient assessment by integrating clinical risk factors and BMD.
- The tool serves as a platform for incorporating new validated risk indicators.
- FRAX enhances fracture risk prediction in men and women.
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