Literature DB >> 19195497

FRAX and its applications to clinical practice.

John A Kanis1, Anders Oden, Helena Johansson, Fredrik Borgström, Oskar Ström, Eugene McCloskey.   

Abstract

The introduction of the WHO FRAX algorithms has facilitated the assessment of fracture risk on the basis of fracture probability. FRAX integrates the influence of several well validated risk factors for fracture with or without the use of BMD. Its use in fracture risk prediction poses challenges for patient assessment, the development of practice guidelines, the evaluation of drug efficacy and reimbursement, as well as for health economics which are the topics outlined in this review.

Entities:  

Mesh：

Year:  2009        PMID： 19195497     DOI： 10.1016/j.bone.2009.01.373

Source DB:  PubMed          Journal:  Bone        ISSN： 1873-2763            Impact factor:   4.398


  216 in total

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Authors:  Piet P Geusens
Journal:  Curr Osteoporos Rep       Date:  2010-09       Impact factor: 5.096

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Authors:  Mark S Cooper
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4.  Number crunching: how and when will numerical models be used in the clinical setting?

Authors:  W Brent Edwards; Karen L Troy
Journal:  Curr Osteoporos Rep       Date:  2011-03       Impact factor: 5.096

5.  Comorbidities: glucocorticoids and osteoporosis: predicting fracture risk.

Authors:  Stanley B Cohen
Journal:  Nat Rev Rheumatol       Date:  2010-12       Impact factor: 20.543

6.  Does diabetes modify the effect of FRAX risk factors for predicting major osteoporotic and hip fracture?

Authors:  W D Leslie; S N Morin; L M Lix; S R Majumdar
Journal:  Osteoporos Int       Date:  2014-08-05       Impact factor: 4.507

7.  Persistent mucosal damage and risk of fracture in celiac disease.

Authors:  Benjamin Lebwohl; Karl Michaëlsson; Peter H R Green; Jonas F Ludvigsson
Journal:  J Clin Endocrinol Metab       Date:  2014-01-16       Impact factor: 5.958

8.  The choice of normative pediatric reference database changes spine bone mineral density Z-scores but not the relationship between bone mineral density and prevalent vertebral fractures.

Authors:  Jinhui Ma; Kerry Siminoski; Nathalie Alos; Jacqueline Halton; Josephine Ho; Brian Lentle; MaryAnn Matzinger; Nazih Shenouda; Stephanie Atkinson; Ronald Barr; David A Cabral; Robert Couch; Elizabeth A Cummings; Conrad V Fernandez; Ronald M Grant; Celia Rodd; Anne Marie Sbrocchi; Maya Scharke; Frank Rauch; Leanne M Ward
Journal:  J Clin Endocrinol Metab       Date:  2014-12-11       Impact factor: 5.958

9.  Comparison between frailty index of deficit accumulation and fracture risk assessment tool (FRAX) in prediction of risk of fractures.

Authors:  Guowei Li; Lehana Thabane; Alexandra Papaioannou; Jonathan D Adachi
Journal:  Bone       Date:  2015-04-25       Impact factor: 4.398

10.  Fracture prediction from self-reported falls in routine clinical practice: a registry-based cohort study.

Authors:  W D Leslie; S N Morin; L M Lix; P Martineau; M Bryanton; E V McCloskey; H Johansson; N C Harvey; J A Kanis
Journal:  Osteoporos Int       Date:  2019-08-02       Impact factor: 4.507
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