Update of the fracture risk prediction tool FRAX: a systematic review of potential cohorts and analysis plan

L. Vandenput, H. Johansson, E. V. McCloskey, E. Liu, K. E. Åkesson, F. A. Anderson, R. Azagra, C. L. Bager, C. Beaudart, H. A. Bischoff-Ferrari, E. Biver, O. Bruyère, J. A. Cauley, J. R. Center, R. Chapurlat, C. Christiansen, C. Cooper, C. J. Crandall, S. R. Cummings, J. A. P. da SilvaB. Dawson-Hughes, A. Diez-Perez, A. B. Dufour, J. A. Eisman, P. J. M. Elders, S. Ferrari, Y. Fujita, S. Fujiwara, C.-C. Glüer, I. Goldshtein, D. Goltzman, V. Gudnason, J. Hall, D. Hans, M. Hoff, R. J. Hollick, M. Huisman, M. Iki, S. Ish-Shalom, G. Jones, M. K. Karlsson, S. Khosla, D. P. Kiel, W.-P. Koh, F. Koromani, M. A. Kotowicz, H. Kröger, T. Kwok, O. Lamy, D. J. Torgerson, Natasja M. van Schoor, T. P. van Staa, J. Vilà, N. J. Wareham, N. C. Wright, T. Yoshimura, M. C. Zillikens, Joost J. Zwart, N. Harvey, Mattias Lorentzon, W. D. Leslie, J A Kanis* (Corresponding Author)

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)


We describe the collection of cohorts together with the analysis plan for an update of the fracture risk prediction tool FRAX with respect to current and novel risk factors. The resource comprises 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures.
Original languageEnglish
Pages (from-to)2103-2136
Number of pages34
JournalOsteoporosis International
Early online date31 May 2022
Publication statusE-pub ahead of print - 31 May 2022

Bibliographical note

We thank the Gothenburg University Library for assistance with the systematic review. We are grateful to Dr Östen Ljunggren for contributing the MrOS Sweden cohort.


  • Epidemiology
  • Fracture probability
  • FRAX
  • Hip fracture
  • Major osteoporotic fracture
  • Risk assessment


Dive into the research topics of 'Update of the fracture risk prediction tool FRAX: a systematic review of potential cohorts and analysis plan'. Together they form a unique fingerprint.

Cite this