- Title
- Algorithm for the management of patients at low, high and very high risk of osteoporotic fractures (vol 31, pg 1, 2020)
- Creators - without role
- J. A. Kanis - Australian Catholic UniversityN. C. Harvey - MRC Lifecourse Epidemiology UnitE. McCloskey - University of SheffieldO. Bruyere - University of LiègeN. Veronese - Neuroscience InstituteM. Lorentzon - Australian Catholic UniversityC. Cooper - University of OxfordR. Rizzoli - University Hospital of GenevaG. Adib - Syrian Natl Osteoporosis Soc, Damascus, SyriaN. Al-Daghri - King Saud UniversityC. Campusano - Universidad de Los Andes, ChileM. Chandran - Singapore General HospitalB. Dawson-Hughes - Jean Mayer Human Nutrition Research Center on AgingK. Javaid - NIHR Oxford Musculoskeletal Biomedical Research CentreF. Jiwa - Osteoporosis CanadaH. Johansson - Australian Catholic UniversityJ. K. Lee - Beacon Int Specialist Ctr, Petaling Jaya, MalaysiaE. Liu - Australian Catholic UniversityD. Messina - Argerich HospitalO. Mkinsi - Centre Hospitalier Universitaire Ibn RochdD. Pinto - Marquette UniversityD. Prieto-Alhambra - Universitat Autònoma de BarcelonaK. Saag - University of Alabama at BirminghamW. Xia - Peking Union Medical College HospitalL. Zakraoui - Hôpital Mongi SlimJ. Y. Reginster - King Saud University
- Publication Details
- Osteoporosis international, Vol.31(4), pp.797-798
- Publisher
- Springer Nature
- Number of pages
- 2
- Identifiers
- 9947953008331
- Academic Unit
- King Saud University
- Language
- English
- Resource Type
- Journal article
Journal article
Algorithm for the management of patients at low, high and very high risk of osteoporotic fractures (vol 31, pg 1, 2020)
Osteoporosis international, Vol.31(4), pp.797-798
01/04/2020
PMID: 32065251
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