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Journal Abstract Search
246 related items for PubMed ID: 24114399
1. The clinical utility of FRAX to discriminate fracture status in men and women with chronic kidney disease. Jamal SA, West SL, Nickolas TL. Osteoporos Int; 2014 Jan; 25(1):71-6. PubMed ID: 24114399 [Abstract] [Full Text] [Related]
2. Bone mineral density by DXA and HR pQCT can discriminate fracture status in men and women with stages 3 to 5 chronic kidney disease. Jamal S, Cheung AM, West S, Lok C. Osteoporos Int; 2012 Dec; 23(12):2805-13. PubMed ID: 22297732 [Abstract] [Full Text] [Related]
5. Comparison of fracture risk assessment tools in older men without prior hip or spine fracture: the MrOS study. Gourlay ML, Ritter VS, Fine JP, Overman RA, Schousboe JT, Cawthon PM, Orwoll ES, Nguyen TV, Lane NE, Cummings SR, Kado DM, Lapidus JA, Diem SJ, Ensrud KE, Osteoporotic Fractures in Men (MrOS) Study Group. Arch Osteoporos; 2017 Oct 20; 12(1):91. PubMed ID: 29052793 [Abstract] [Full Text] [Related]
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. PubMed ID: 23088223 [Abstract] [Full Text] [Related]
8. Assessment using serum insulin-like growth factor-I and bone mineral density is useful for detecting prevalent vertebral fractures in patients with type 2 diabetes mellitus. Kanazawa I, Notsu M, Miyake H, Tanaka K, Sugimoto T. Osteoporos Int; 2018 Nov 22; 29(11):2527-2535. PubMed ID: 30030585 [Abstract] [Full Text] [Related]
9. Biochemical markers for bone turnover predict risk of vertebral fractures in postmenopausal women over 10 years: the Japanese Population-based Osteoporosis (JPOS) Cohort Study. Tamaki J, Iki M, Kadowaki E, Sato Y, Chiba Y, Akiba T, Matsumoto T, Nishino H, Kagamimori S, Kagawa Y, Yoneshima H, JPOS Study Group. Osteoporos Int; 2013 Mar 22; 24(3):887-97. PubMed ID: 22885773 [Abstract] [Full Text] [Related]
10. The discriminative ability of FRAX, the WHO algorithm, to identify women with prevalent asymptomatic vertebral fractures: a cross-sectional study. El Maghraoui A, Sadni S, Jbili N, Rezqi A, Mounach A, Ghozlani I. BMC Musculoskelet Disord; 2014 Nov 04; 15():365. PubMed ID: 25366306 [Abstract] [Full Text] [Related]
11. The utility of lumbar spine trabecular bone score and femoral neck bone mineral density for identifying asymptomatic vertebral fractures in well-compensated type 2 diabetic patients. Zhukouskaya VV, Eller-Vainicher C, Gaudio A, Privitera F, Cairoli E, Ulivieri FM, Palmieri S, Morelli V, Grancini V, Orsi E, Masserini B, Spada AM, Fiore CE, Chiodini I. Osteoporos Int; 2016 Jan 04; 27(1):49-56. PubMed ID: 26138582 [Abstract] [Full Text] [Related]
13. Rationale of the Spanish FRAX model in decision-making for predicting osteoporotic fractures: an update of FRIDEX cohort of Spanish women. Azagra R, Zwart M, Encabo G, Aguyé A, Martin-Sánchez JC, Puchol-Ruiz N, Gabriel-Escoda P, Ortiz-Alinque S, Gené E, Iglesias M, Moriña D, Diaz-Herrera MA, Utzet M, Manresa JM, GROIMAP study group. BMC Musculoskelet Disord; 2016 Jun 17; 17():262. PubMed ID: 27317560 [Abstract] [Full Text] [Related]
17. Validation of three tools for identifying painful new osteoporotic vertebral fractures in older Chinese men: bone mineral density, Osteoporosis Self-Assessment Tool for Asians, and fracture risk assessment tool. Lin J, Yang Y, Fei Q, Zhang X, Ma Z, Wang Q, Li J, Li D, Meng Q, Wang B. Clin Interv Aging; 2016 Jun 17; 11():461-9. PubMed ID: 27217730 [Abstract] [Full Text] [Related]
18. Application of the World Health Organization Fracture Risk Assessment Tool to predict need for dual-energy X-ray absorptiometry scanning in postmenopausal women. Chao AS, Chen FP, Lin YC, Huang TS, Fan CM, Yu YW. Taiwan J Obstet Gynecol; 2015 Dec 17; 54(6):722-5. PubMed ID: 26700992 [Abstract] [Full Text] [Related]