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Osteoporotic fractures, including hip fractures, are a global health concern associated with significant morbidity and mortality as well as a major economic burden. Identifying individuals who are at an increased risk of osteoporotic fracture is an important challenge to be resolved. Recently, multivariable prediction tools have been developed to assist clinicians in the management of their patients by calculating their 10-year risk of fracture (FRAX, QFracture, Garvan) using a combination of known risk factors. These prediction models have revolutionized the way clinicians assess the risk of fracture. Studies evaluating the performance of prediction models in this and other areas of medicine have, however, been characterized by poor design, methodological conduct, and reporting. We examine recently developed fracture prediction models and critically discuss issues in their design, validation, and transparency.

Original publication

DOI

10.1007/s11914-012-0108-1

Type

Journal article

Journal

Current osteoporosis reports

Publication Date

09/2012

Volume

10

Pages

199 - 207

Addresses

Centre for Statistics in Medicine, Wolfson College Annexe, University of Oxford, Linton Road, Oxford OX2 6UD, UK. gary.collins@csm.ox.ac.uk

Keywords

Humans, Hip Fractures, Prognosis, Risk Assessment, Risk Factors, Review Literature as Topic, Validation Studies as Topic, Osteoporotic Fractures