Literature DB >> 21173062

Fracture-risk calculators: Has their time come?

Mark J Bolland1.   

Abstract

Mesh：

Year:  2010        PMID： 21173062      PMCID： PMC3033919          DOI： 10.1503/cmaj.101778

Source DB:  PubMed          Journal:  CMAJ        ISSN： 0820-3946            Impact factor:   8.262


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  12 in total

1.  Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation.

Authors:  R B D'Agostino; S Grundy; L M Sullivan; P Wilson
Journal:  JAMA       Date:  2001-07-11       Impact factor: 56.272

2.  Prognosis and prognostic research: validating a prognostic model.

Authors:  Douglas G Altman; Yvonne Vergouwe; Patrick Royston; Karel G M Moons
Journal:  BMJ       Date:  2009-05-28

3.  Recommendations for bone mineral density reporting in Canada.

Authors:  Kerry Siminoski; William D Leslie; Heather Frame; Anthony Hodsman; Robert G Josse; Aliya Khan; Brian C Lentle; Jacques Lévesque; David J Lyons; Giuseppe Tarulli; Jacques P Brown
Journal:  Can Assoc Radiol J       Date:  2005-06       Impact factor: 2.248

Review 4.  Assessment of fracture risk and its application to screening for postmenopausal osteoporosis. Report of a WHO Study Group.

Authors: 
Journal:  World Health Organ Tech Rep Ser       Date:  1994

5.  Identification and fracture outcomes of undiagnosed low bone mineral density in postmenopausal women: results from the National Osteoporosis Risk Assessment.

Authors:  E S Siris; P D Miller; E Barrett-Connor; K G Faulkner; L E Wehren; T A Abbott; M L Berger; A C Santora; L M Sherwood
Journal:  JAMA       Date:  2001-12-12       Impact factor: 56.272

6.  Independent external validation of nomograms for predicting risk of low-trauma fracture and hip fracture.

Authors:  Lisa Langsetmo; Tuan V Nguyen; Nguyen D Nguyen; Christopher S Kovacs; Jerilynn C Prior; Jacqueline R Center; Suzanne Morin; Robert G Josse; Jonathan D Adachi; David A Hanley; John A Eisman
Journal:  CMAJ       Date:  2010-12-20       Impact factor: 8.262

7.  A comparison of prediction models for fractures in older women: is more better?

Authors:  Kristine E Ensrud; Li-Yung Lui; Brent C Taylor; John T Schousboe; Meghan G Donaldson; Howard A Fink; Jane A Cauley; Teresa A Hillier; Warren S Browner; Steven R Cummings
Journal:  Arch Intern Med       Date:  2009-12-14

8.  Estimates of the proportion of older white women who would be recommended for pharmacologic treatment by the new U.S. National Osteoporosis Foundation Guidelines.

Authors:  Meghan G Donaldson; Peggy M Cawthon; Li-Yung Lui; John T Schousboe; Kristine E Ensrud; Brent C Taylor; Jane A Cauley; Teresa A Hillier; Dennis M Black; Doug C Bauer; Steven R Cummings
Journal:  J Bone Miner Res       Date:  2009-04       Impact factor: 6.741

9.  Prediction of osteoporotic fractures by postural instability and bone density.

Authors:  T Nguyen; P Sambrook; P Kelly; G Jones; S Lord; J Freund; J Eisman
Journal:  BMJ       Date:  1993-10-30

Review 10.  The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women.

Authors:  J A Kanis; A Oden; O Johnell; H Johansson; C De Laet; J Brown; P Burckhardt; C Cooper; C Christiansen; S Cummings; J A Eisman; S Fujiwara; C Glüer; D Goltzman; D Hans; M-A Krieg; A La Croix; E McCloskey; D Mellstrom; L J Melton; H Pols; J Reeve; K Sanders; A-M Schott; A Silman; D Torgerson; T van Staa; N B Watts; N Yoshimura
Journal:  Osteoporos Int       Date:  2007-02-24       Impact factor: 4.507
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