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Algorithm for the management of patients at low, high and very high risk of osteoporotic fractures
Kanis, J.A.; Harvey, N.C.; McCloskey, E. et al.
2022 • In Osteoporosis International, 33 (Suppl 1), p. 24
Peer Reviewed verified by ORBi
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https://hdl.handle.net/2268/294173
 

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Disciplines :
Public health, health care sciences & services
Author, co-author :
Kanis, J.A.
Harvey, N.C.
McCloskey, E.
Veronese, N.
Lorentzon, M.
Cooper, C.
Rizzoli, R.
Adib, G.
Al-Daghri, N.
Campusano, C.
Chandran, M.
Dawson-Hughes, B.
Javaid, K.
Jiwa, F.
Johansson, H.
Lee, J.K.
Liu, E.
Messina, D.
Minski, O.
Pinto, D.
Prieto-Alhambra, D.
Saag, K.
Xia, W.
Zakraoui, L.
Reginster, Jean-Yves  ;  Université de Liège - ULiège > Unité de recherche Santé publique, épidémiologie et économie de la santé (URSAPES)
More authors (15 more) Less
Language :
English
Title :
Algorithm for the management of patients at low, high and very high risk of osteoporotic fractures
Publication date :
2022
Event name :
8th Asia Pacific Osteoporosis Virtual Conference
Event organizer :
IOF Regional
Event date :
december 1-2, 2021
By request :
Yes
Audience :
International
Journal title :
Osteoporosis International
ISSN :
0937-941X
eISSN :
1433-2965
Publisher :
Springer, Germany
Volume :
33
Issue :
Suppl 1
Pages :
24
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 30 August 2022

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