Literature DB >> 19723465

From relative risk to absolute fracture risk calculation: the FRAX algorithm.

Eugene V McCloskey1, Helena Johansson, Anders Oden, John A Kanis.   

Abstract

FRAX is a computer-based algorithm that provides models for the assessment of fracture probability in men and women (http://www.shef.ac.uk/FRAX). The approach uses easily obtained clinical risk factors to estimate 10-year fracture probability, with or without femoral neck bone mineral density (BMD), to enhance fracture risk prediction. It has been constructed using primary data from population-based cohorts around the world. The gradients of fracture risk have been validated in independent cohorts with a similar geographic distribution. The FRAX tool should not be considered as a gold standard, but rather as a platform technology on which to build as new validated risk indicators become available. Notwithstanding, the present models provide an aid to enhance patient assessment by the integration of clinical risk factors alone and/or in combination with BMD. This article describes the steps undertaken in the development of FRAX.

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Year:  2009        PMID: 19723465     DOI: 10.1007/s11914-009-0013-4

Source DB:  PubMed          Journal:  Curr Osteoporos Rep        ISSN: 1544-1873            Impact factor:   5.096


  53 in total

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Authors:  K Kayan; H Johansson; A Oden; S Vasireddy; K Pande; J Orgee; J A Kanis; E V McCloskey
Journal:  Osteoporos Int       Date:  2009-05-13       Impact factor: 4.507

3.  An assessment tool for predicting fracture risk in postmenopausal women.

Authors:  D M Black; M Steinbuch; L Palermo; P Dargent-Molina; R Lindsay; M S Hoseyni; O Johnell
Journal:  Osteoporos Int       Date:  2001       Impact factor: 4.507

4.  The long-term predictive value of bone mineral density measurements for fracture risk is independent of the site of measurement and the age at diagnosis: results from the Prospective Epidemiological Risk Factors study.

Authors:  Yu Z Bagger; László B Tankó; Peter Alexandersen; Henrik B Hansen; Gerong Qin; Claus Christiansen
Journal:  Osteoporos Int       Date:  2005-10-28       Impact factor: 4.507

5.  The exclusion of high trauma fractures may underestimate the prevalence of bone fragility fractures in the community: the Geelong Osteoporosis Study.

Authors:  K M Sanders; J A Pasco; A M Ugoni; G C Nicholson; E Seeman; T J Martin; B Skoric; S Panahi; M A Kotowicz
Journal:  J Bone Miner Res       Date:  1998-08       Impact factor: 6.741

6.  Severity of prevalent vertebral fractures and the risk of subsequent vertebral and nonvertebral fractures: results from the MORE trial.

Authors:  P D Delmas; H K Genant; G G Crans; J L Stock; M Wong; E Siris; J D Adachi
Journal:  Bone       Date:  2003-10       Impact factor: 4.398

7.  Alcohol intake as a risk factor for fracture.

Authors:  John A Kanis; Helena Johansson; Olof Johnell; Anders Oden; Chris De Laet; John A Eisman; Huibert Pols; Alan Tenenhouse
Journal:  Osteoporos Int       Date:  2004-09-29       Impact factor: 4.507

8.  International variations in hip fracture probabilities: implications for risk assessment.

Authors:  John A Kanis; Olof Johnell; Chris De Laet; Bengt Jonsson; Anders Oden; Alan K Ogelsby
Journal:  J Bone Miner Res       Date:  2002-07       Impact factor: 6.741

9.  The incidence of vertebral fractures in men and women: the Rotterdam Study.

Authors:  Marjolein Van der Klift; Chris E D H De Laet; Eugene V McCloskey; Albert Hofman; Huibert A P Pols
Journal:  J Bone Miner Res       Date:  2002-06       Impact factor: 6.741

10.  A family history of fracture and fracture risk: a meta-analysis.

Authors:  J A Kanis; H Johansson; A Oden; O Johnell; C De Laet; J A Eisman; E V McCloskey; D Mellstrom; L J Melton; H A P Pols; J Reeve; A J Silman; A Tenenhouse
Journal:  Bone       Date:  2004-11       Impact factor: 4.398

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  20 in total

1.  Discovery of potential biomarkers for osteoporosis using LC-MS/MS metabolomic methods.

Authors:  J Wang; D Yan; A Zhao; X Hou; X Zheng; P Chen; Y Bao; W Jia; C Hu; Z-L Zhang; W Jia
Journal:  Osteoporos Int       Date:  2019-02-18       Impact factor: 4.507

2.  Impact of femoral neck and lumbar spine BMD discordances on FRAX probabilities in women: a meta-analysis of international cohorts.

Authors:  H Johansson; J A Kanis; A Odén; W D Leslie; S Fujiwara; C C Glüer; H Kroger; A Z LaCroix; E Lau; L J Melton; J A Eisman; T W O'Neill; D Goltzman; D M Reid; E McCloskey
Journal:  Calcif Tissue Int       Date:  2014-09-04       Impact factor: 4.333

3.  Machine Learning Approaches for Fracture Risk Assessment: A Comparative Analysis of Genomic and Phenotypic Data in 5130 Older Men.

Authors:  Qing Wu; Fatma Nasoz; Jongyun Jung; Bibek Bhattarai; Mira V Han
Journal:  Calcif Tissue Int       Date:  2020-07-29       Impact factor: 4.333

4.  Comparison of the proportion of patients potentially treated with an anti-osteoporotic drug using the current criteria of the Belgian national social security and the new suggested FRAX criteria.

Authors:  O Bruyère; M Fossi; B Zegels; L Leonori; M Hiligsmann; A Neuprez; J-Y Reginster
Journal:  Rheumatol Int       Date:  2012-07-28       Impact factor: 2.631

5.  Incidence of hip fractures in Greece during a 30-year period: 1977-2007.

Authors:  G P Lyritis; S Rizou; A Galanos; P Makras
Journal:  Osteoporos Int       Date:  2012-10-13       Impact factor: 4.507

6.  When the FRAX(®) test is applied to controlled clinical trials.

Authors:  Carmelo Erio Fiore; Agostino Gaudio
Journal:  Clin Cases Miner Bone Metab       Date:  2012-12-20

7.  Active shape modeling of the hip in the prediction of incident hip fracture.

Authors:  Julie C Baker-LePain; Kali R Luker; John A Lynch; Neeta Parimi; Michael C Nevitt; Nancy E Lane
Journal:  J Bone Miner Res       Date:  2011-03       Impact factor: 6.741

8.  Calibration of FRAX ® 3.1 to the Dutch population with data on the epidemiology of hip fractures.

Authors:  A Lalmohamed; P M J Welsing; W F Lems; J W G Jacobs; J A Kanis; H Johansson; A De Boer; F De Vries
Journal:  Osteoporos Int       Date:  2011-11-26       Impact factor: 4.507

Review 9.  Bone Health in Idiopathic Inflammatory Myopathies: Diagnosis and Management.

Authors:  Anett Vincze; János Gaál; Zoltán Griger
Journal:  Curr Rheumatol Rep       Date:  2021-07-01       Impact factor: 4.592

10.  Lung-Specific Risk Factors Associated With Incident Hip Fracture in Current and Former Smokers.

Authors:  Jessica Bon; Seyed Mehdi Nouraie; Kenneth J Smith; Mark T Dransfield; Merry-Lynn McDonald; Eric A Hoffman; John D Newell; Alejandro P Comellas; Punam K Saha; Russell P Bowler; Elizabeth A Regan
Journal:  J Bone Miner Res       Date:  2020-08-04       Impact factor: 6.741

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