94 related articles for article (PubMed ID: 30208152)
1. Fracture risk assessment in home care patients using the FRAX® tool.
Rocha VM; Gaspar HA; Oliveira CF
Einstein (Sao Paulo); 2018 Sep; 16(3):eAO4236. PubMed ID: 30208152
[TBL] [Abstract][Full Text] [Related]
2. External validation and comparison of three prediction tools for risk of osteoporotic fractures using data from population based electronic health records: retrospective cohort study.
Dagan N; Cohen-Stavi C; Leventer-Roberts M; Balicer RD
BMJ; 2017 Jan; 356():i6755. PubMed ID: 28104610
[TBL] [Abstract][Full Text] [Related]
3. Evaluation of clinical risk factors for osteoporosis and applicability of the FRAX tool in Joinville City, Southern Brazil.
Silva DMW; Borba VZC; Kanis JA
Arch Osteoporos; 2017 Dec; 12(1):111. PubMed ID: 29224172
[TBL] [Abstract][Full Text] [Related]
4. Sarcopenia combined with FRAX probabilities improves fracture risk prediction in older Chinese men.
Yu R; Leung J; Woo J
J Am Med Dir Assoc; 2014 Dec; 15(12):918-23. PubMed ID: 25262197
[TBL] [Abstract][Full Text] [Related]
5. Fracture risk assessed by Fracture Risk Assessment Tool (FRAX) compared with fracture risk derived from population fracture rates.
Rubin KH; Abrahamsen B; Hermann AP; Bech M; Gram J; Brixen K
Scand J Public Health; 2011 May; 39(3):312-8. PubMed ID: 21429990
[TBL] [Abstract][Full Text] [Related]
6. Validation of FRAX and the impact of self-reported falls among elderly in a general population: the HUNT study, Norway.
Hoff M; Meyer HE; Skurtveit S; Langhammer A; Søgaard AJ; Syversen U; Dhainaut A; Skovlund E; Abrahamsen B; Schei B
Osteoporos Int; 2017 Oct; 28(10):2935-2944. PubMed ID: 28668994
[TBL] [Abstract][Full Text] [Related]
7. Probability of fractures predicted by FRAX® and observed incidence in the Spanish ECOSAP Study cohort.
González-Macías J; Marin F; Vila J; Díez-Pérez A
Bone; 2012 Jan; 50(1):373-7. PubMed ID: 22129640
[TBL] [Abstract][Full Text] [Related]
8. The utility of FRAX® in predicting bone fractures in patients with chronic kidney disease on hemodialysis: a two-year prospective multicenter cohort study.
Przedlacki J; Buczyńska-Chyl J; Koźmiński P; Niemczyk E; Wojtaszek E; Gieglis E; Żebrowski P; Podgórzak A; Wściślak J; Wieliczko M; Matuszkiewicz-Rowińska J;
Osteoporos Int; 2018 May; 29(5):1105-1115. PubMed ID: 29411069
[TBL] [Abstract][Full Text] [Related]
9. Gait speed and one-leg standing time each add to the predictive ability of FRAX.
Lundin H; Sääf M; Strender LE; Nyren S; Johansson SE; Salminen H
Osteoporos Int; 2017 Jan; 28(1):179-187. PubMed ID: 27844133
[TBL] [Abstract][Full Text] [Related]
10. Fracture risk assessment tool (FRAX) and for the diagnosis of osteoporosis in Japanese middle-aged and elderly women: Chiba bone survey.
Oka R; Ohira M; Suzuki S; Yoshida T; Koide H; Tanaka T; Tatsuno I
Endocr J; 2018 Feb; 65(2):193-202. PubMed ID: 29151451
[TBL] [Abstract][Full Text] [Related]
11. Assessment of fracture risk by the FRAX algorithm in men and women with and without type 2 diabetes mellitus: a cross-sectional study.
Carnevale V; Morano S; Fontana A; Annese MA; Fallarino M; Filardi T; Copetti M; Pellegrini F; Romagnoli E; Eller-Vainicher C; Zhukouskaya VV; Chiodini I; D'Amico G
Diabetes Metab Res Rev; 2014 May; 30(4):313-22. PubMed ID: 24420974
[TBL] [Abstract][Full Text] [Related]
12. 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; 15(6):617-28. PubMed ID: 24662908
[TBL] [Abstract][Full Text] [Related]
13. FRAX for fracture prediction shorter and longer than 10 years: the Manitoba BMD registry.
Leslie WD; Majumdar SR; Morin SN; Lix LM; Johansson H; Oden A; McCloskey EV; Kanis JA
Osteoporos Int; 2017 Sep; 28(9):2557-2564. PubMed ID: 28593449
[TBL] [Abstract][Full Text] [Related]
14. The characteristics of osteoporotic fractures in the region of Bialystok (BOS-2). The application of the WHO algorithm, FRAX®BMI and FRAX®BMD assessment tools to determine patients for intervention.
Badurski J; Jeziernicka E; Dobreńko A; Nowak N; Daniluk S; Rybaczuk M; Wiśniowiecka M
Endokrynol Pol; 2011; 62(4):290-8. PubMed ID: 21879467
[TBL] [Abstract][Full Text] [Related]
15. 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;
BMC Musculoskelet Disord; 2016 Jun; 17():262. PubMed ID: 27317560
[TBL] [Abstract][Full Text] [Related]
16. Fracture risk prediction using phalangeal bone mineral density or FRAX(®)?-A Danish cohort study on men and women.
Friis-Holmberg T; Rubin KH; Brixen K; Tolstrup JS; Bech M
J Clin Densitom; 2014; 17(1):7-15. PubMed ID: 23623379
[TBL] [Abstract][Full Text] [Related]
17. [Comparison fracture risk calculated by FRAX tool].
Carranza-Lira S; Lanuza-López MC; Sandoval-Barragán MP
Ginecol Obstet Mex; 2014 Sep; 82(9):591-4. PubMed ID: 25412552
[TBL] [Abstract][Full Text] [Related]
18. Development and application of FRAX in the management of osteoporosis in Ireland.
McGowan B; Kanis JA; Johansson H; Silke C; Whelan B
Arch Osteoporos; 2013; 8():146. PubMed ID: 23982943
[TBL] [Abstract][Full Text] [Related]
19. Correlations between periodontal disease, mandibular inferior cortex index and the osteoporotic fracture probability assessed by means of the fracture risk assessment body mass index tool.
Kalinowski P; Różyło-Kalinowska I; Piskórz M; Bojakowska-Komsta U
BMC Med Imaging; 2019 May; 19(1):41. PubMed ID: 31117973
[TBL] [Abstract][Full Text] [Related]
20. A combination of clinical balance measures and FRAX® to improve identification of high-risk fallers.
Najafi DA; Dahlberg LE; Hansson EE
BMC Geriatr; 2016 May; 16():94. PubMed ID: 27142632
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
