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Items: 1 to 20 of 142

1.

clinical risk factors for osteoporosis in Ireland and the UK: a comparison of FRAX and QFractureScores.

Cummins NM, Poku EK, Towler MR, O'Driscoll OM, Ralston SH.

Calcif Tissue Int. 2011 Aug;89(2):172-7. doi: 10.1007/s00223-011-9504-2. Epub 2011 Jun 7.

PMID:
21647704
2.

Discriminative value of FRAX for fracture prediction in a cohort of Chinese postmenopausal women.

Cheung EY, Bow CH, Cheung CL, Soong C, Yeung S, Loong C, Kung A.

Osteoporos Int. 2012 Mar;23(3):871-8. doi: 10.1007/s00198-011-1647-5. Epub 2011 May 12.

PMID:
21562875
3.

Measurement of cortical porosity of the proximal femur improves identification of women with nonvertebral fragility fractures.

Ahmed LA, Shigdel R, Joakimsen RM, Eldevik OP, Eriksen EF, Ghasem-Zadeh A, Bala Y, Zebaze R, Seeman E, Bjørnerem Å.

Osteoporos Int. 2015 Aug;26(8):2137-46. doi: 10.1007/s00198-015-3118-x. Epub 2015 Apr 16.

4.
5.

Assessment of the 10-year risk of fracture in Italian postmenopausal women using FRAX®: a north Italian multicenter study.

Pedrazzoni M, Girasole G, Giusti A, Barone A, Pioli G, Passeri G, Palummeri E, Bianchi G.

J Endocrinol Invest. 2011 Dec;34(11):e386-91. doi: 10.3275/7862. Epub 2011 Jul 12.

PMID:
21750394
6.

FRAX® tool, the WHO algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the Spanish FRIDEX cohort.

Azagra R, Roca G, Encabo G, Aguyé A, Zwart M, Güell S, Puchol N, Gene E, Casado E, Sancho P, Solà S, Torán P, Iglesias M, Gisbert MC, López-Expósito F, Pujol-Salud J, Fernandez-Hermida Y, Puente A, Rosàs M, Bou V, Antón JJ, Lansdberg G, Martín-Sánchez JC, Díez-Pérez A, Prieto-Alhambra D.

BMC Musculoskelet Disord. 2012 Oct 22;13:204. doi: 10.1186/1471-2474-13-204.

7.

Predicting fracture risk in osteoporosis: the use of fracture prediction tools in an osteoporosis clinic population.

Aw D, Thain J, Ali A, Aung T, Chua WM, Sahota O, Weerasuriya N, Marshall L, Kearney F, Masud T.

Postgrad Med J. 2016 May;92(1087):267-70. doi: 10.1136/postgradmedj-2015-133454. Epub 2016 Jan 20.

PMID:
26792635
8.

Case finding for the management of osteoporosis with FRAX--assessment and intervention thresholds for the UK.

Kanis JA, McCloskey EV, Johansson H, Strom O, Borgstrom F, Oden A; National Osteoporosis Guideline Group.

Osteoporos Int. 2008 Oct;19(10):1395-408. doi: 10.1007/s00198-008-0712-1. Epub 2008 Aug 28. Erratum in: Osteoporos Int. 2009 Mar;20(3):499-502.

PMID:
18751937
9.

High fracture probability with FRAX usually indicates densitometric osteoporosis: implications for clinical practice.

Leslie WD, Majumdar SR, Lix LM, Johansson H, Oden A, McCloskey E, Kanis JA; Manitoba Bone Density Program.

Osteoporos Int. 2012 Jan;23(1):391-7. doi: 10.1007/s00198-011-1592-3. Epub 2011 Mar 2.

PMID:
21365460
10.

Fracture risk prediction in outpatients from Krakow Region using FRAX tool versus fracture risk in 11-year follow-up.

Czerwiński E, Borowy P, Kumorek A, Amarowicz J, Górkiewicz M, Milert A.

Ortop Traumatol Rehabil. 2013 Nov-Dec;15(6):617-28. doi: 10.5604/15093492.1091517.

PMID:
24662908
12.

Correlation between osteoporotic fracture risk in Brazilian postmenopausal women calculated using the FRAX with and without the inclusion of bone densitometry data.

Bastos-Silva Y, Aguiar LB, Pinto-Neto AM, Baccaro LF, Costa-Paiva L.

Arch Osteoporos. 2016;11:16. doi: 10.1007/s11657-015-0255-y. Epub 2016 Apr 11.

PMID:
27067597
13.

Trabecular bone score may improve FRAX® prediction accuracy for major osteoporotic fractures in elderly Japanese men: the Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) Cohort Study.

Iki M, Fujita Y, Tamaki J, Kouda K, Yura A, Sato Y, Moon JS, Winzenrieth R, Okamoto N, Kurumatani N.

Osteoporos Int. 2015 Jun;26(6):1841-8. doi: 10.1007/s00198-015-3092-3. Epub 2015 Mar 10.

PMID:
25752623
14.

Fracture risk prediction using FRAX®: a 10-year follow-up survey of the Japanese Population-Based Osteoporosis (JPOS) Cohort Study.

Tamaki J, Iki M, Kadowaki E, Sato Y, Kajita E, Kagamimori S, Kagawa Y, Yoneshima H.

Osteoporos Int. 2011 Dec;22(12):3037-45. doi: 10.1007/s00198-011-1537-x. Epub 2011 Jan 29.

PMID:
21279504
15.

Ten-year fracture probability identifies women who will benefit from clodronate therapy--additional results from a double-blind, placebo-controlled randomised study.

McCloskey EV, Johansson H, Oden A, Vasireddy S, Kayan K, Pande K, Jalava T, Kanis JA.

Osteoporos Int. 2009 May;20(5):811-7. doi: 10.1007/s00198-008-0786-9. Epub 2008 Nov 11.

PMID:
19002369
16.

Primary care use of FRAX: absolute fracture risk assessment in postmenopausal women and older men.

Siris ES, Baim S, Nattiv A.

Postgrad Med. 2010 Jan;122(1):82-90. doi: 10.3810/pgm.2010.01.2102. Review.

PMID:
20107292
17.

Possible FRAX-based intervention thresholds for a cohort of Chinese postmenopausal women.

Cheung E, Cheung CL, Kung AW, Tan KC.

Osteoporos Int. 2014 Mar;25(3):1017-23. doi: 10.1007/s00198-013-2553-9. Epub 2013 Nov 6.

PMID:
24196720
18.

FRAX provides robust fracture prediction regardless of socioeconomic status.

Brennan SL, Leslie WD, Lix LM, Johansson H, Oden A, McCloskey E, Kanis JA.

Osteoporos Int. 2014 Jan;25(1):61-9. doi: 10.1007/s00198-013-2525-0. Epub 2013 Nov 5.

PMID:
24190425
19.

A comparative study of using non-hip bone density inputs with FRAX®.

Leslie WD, Lix LM, Johansson H, Oden A, McCloskey E, Kanis JA; Manitoba Bone Density Program.

Osteoporos Int. 2012 Mar;23(3):853-60. doi: 10.1007/s00198-011-1814-8. Epub 2011 Oct 19.

PMID:
22008881
20.

Cost-effectiveness of bazedoxifene incorporating the FRAX® algorithm in a European perspective.

Borgström F, Ström O, Kleman M, McCloskey E, Johansson H, Odén A, Kanis JA.

Osteoporos Int. 2011 Mar;22(3):955-65. doi: 10.1007/s00198-010-1291-5. Epub 2010 Jun 8.

PMID:
20532482

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