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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 Silva
  • B. 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, A. Langhammer, B. Larijani, K. Lippuner, D. Mellström, T. Merlijn, A. Nordström, P. Nordström, T. W. O’Neill, B. Obermayer-Pietsch, C. Ohlsson, E. S. Orwoll, J. A. Pasco, F. Rivadeneira, B. Schei, A. M. Schott, E. J. Shiroma, K. Siggeirsdottir, E. M. Simonsick, E. Sornay-Rendu, R. Sund, K. M.A. Swart, P. Szulc, J. Tamaki, D. J. Torgerson, N. M. van Schoor, T. P. van Staa, J. Vila, N. J. Wareham, N. C. Wright, N. Yoshimura, M. C. Zillikens, M. Zwart, N. C. Harvey, M. Lorentzon, W. D. Leslie, J. A. Kanis*
*Corresponding author for this work
  • Australian Catholic University
  • The Sahlgrenska Academy at the University of Gothenburg
  • University of Sheffield
  • Lund University
  • Skåne University Hospital
  • University of Massachusetts Medical School
  • Autonomous University of Barcelona
  • Generalitat de Catalunya
  • Santa Coloma de Gramenet
  • Nordic Bioscience AS
  • University of Liege
  • University Hospital Zürich
  • University of Zurich
  • University Hospital of Geneva
  • University of Pittsburgh Graduate School of Public Health
  • Garvan Institute of Medical Research
  • University of New South Wales
  • University of Notre Dame Australia
  • Université de Lyon
  • David Geffen School of Medicine
  • California Pacific Medical Center
  • University of Coimbra
  • Tufts University
  • Hebrew SeniorLife
  • Amsterdam Public Health Research Institute
  • Kindai University
  • Yasuda Women's University
  • Universitätsklinikum Schleswig-Holstein
  • Maccabi Healthcare Services
  • Tel Aviv University
  • McGill University Health Centre
  • Icelandic Heart Association
  • University of Iceland
  • University of Edinburgh
  • University Hospital Lausanne
  • University of Aberdeen
  • Elisha Hospital
  • Menzies Institute for Medical Research
  • Mayo Clinic College of Medicine and Science
  • Yong Loo Lin School of Medicine
  • Agency for Science, Technology and Research, Singapore
  • Deakin University
  • Barwon Health
  • University of Melbourne
  • Kuopio University Hospital
  • University of Eastern Finland
  • Norwegian University of Science and Technology
  • Tehran University of Medical Sciences
  • University Hospital Bern
  • Sahlgrenska University Hospital
  • Umeå University
  • University of Tromsø – The Arctic University of Norway
  • Manchester University NHS Foundation Trust
  • Centre for Epidemiology Versus Arthritis
  • Medical University of Graz
  • Center for Biomarker Research in Medicine
  • Oregon Health and Science University
  • Monash University
  • Universite Claude Bernard Lyon 1
  • National Institutes of Health
  • Janus Rehabilitation
  • National Institute on Aging (Baltimore)
  • Institut national de la santé et de la recherche médicale
  • Osaka Medical and Pharmaceutical University
  • University of York
  • Hospital del Mar Medical Research Institute (IMIM)
  • MRC Epidemiology Unit
  • University of Alabama at Birmingham
  • The University of Tokyo
  • MRC Lifecourse Epidemiology Unit
  • University Hospital Southampton NHS Foundation Trust
  • University of Gothenburg
  • University of Manitoba
  • University of Southampton
  • University of Oxford
  • St. Olavs Hospital
  • VU University Medical Center
  • Beth Israel Deaconess Medical Center
  • Harvard Medical School
  • The University of Hong Kong
  • University of Manchester
  • Catalan Institute of Health
  • University of Girona
  • Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol)

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Abstract

Summary: 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. Introduction: The availability of the fracture risk assessment tool FRAX® has substantially enhanced the targeting of treatment to those at high risk of fracture with FRAX now incorporated into more than 100 clinical osteoporosis guidelines worldwide. The aim of this study is to determine whether the current algorithms can be further optimised with respect to current and novel risk factors. Methods: A computerised literature search was performed in PubMed from inception until May 17, 2019, to identify eligible cohorts for updating the FRAX coefficients. Additionally, we searched the abstracts of conference proceedings of the American Society for Bone and Mineral Research, European Calcified Tissue Society and World Congress of Osteoporosis. Prospective cohort studies with data on baseline clinical risk factors and incident fractures were eligible. Results: Of the 836 records retrieved, 53 were selected for full-text assessment after screening on title and abstract. Twelve cohorts were deemed eligible and of these, 4 novel cohorts were identified. These cohorts, together with 60 previously identified cohorts, will provide the resource for constructing an updated version of FRAX comprising 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. For each known and candidate risk factor, multivariate hazard functions for hip fracture, major osteoporotic fracture and death will be tested using extended Poisson regression. Sex- and/or ethnicity-specific differences in the weights of the risk factors will be investigated. After meta-analyses of the cohort-specific beta coefficients for each risk factor, models comprising 10-year probability of hip and major osteoporotic fracture, with or without femoral neck bone mineral density, will be computed. Conclusions: These assembled cohorts and described models will provide the framework for an updated FRAX tool enabling enhanced assessment of fracture risk (PROSPERO (CRD42021227266)).

Original languageEnglish
Pages (from-to)2103-2136
Number of pages34
JournalOsteoporosis International
Volume33
Issue number10
Early online date31 May 2022
DOIs
Publication statusPublished - Oct 2022

Bibliographical note

Publisher Copyright:
© 2022, International Osteoporosis Foundation and National Osteoporosis Foundation.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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