Back
  1. Home
  3. Detailled Reference
Download
Paper published in a journal (Scientific congresses and symposiums)
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
Permalink
https://hdl.handle.net/2268/294173
 

Files (1)Send toDetailsStatisticsBibliographySimilar publications

Files

Full Text
Algorithm for the management of patients at low, high and very high risk of osteoporotic fractures.pdf
Author postprint (103.67 kB)
Download

All documents in ORBi are protected by a user license.

Send to


Details


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

Statistics

Number of views
59 (6 by ULiège)
Number of downloads
17 (0 by ULiège)
More statistics

Bibliography

Similar publications


Contact ORBi