- Title
- Can We Identify Patients with High Risk of Osteoarthritis Progression Who Will Respond to Treatment? A Focus on Epidemiology and Phenotype of Osteoarthritis (vol 32, pg 179, 2015)
- Creators - without role
- Olivier Bruyere - University of LiègeCyrus Cooper - University of SouthamptonNigel Arden - University of OxfordJaime Branco - Hospital de Egas MonizMaria Luisa Brandi - University of FlorenceGabriel Herrero-Beaumont - Hospital Universitario Fundación Jiménez DíazFrancis Berenbaum - Sorbonne UniversitéElaine Dennison - University of SouthamptonJean-Pierre Devogelaer - UCLouvainMarc Hochberg - University of Maryland, BaltimoreJohn Kanis - University of SheffieldAndrea Laslop - Austrian Agency for Health and Food SafetyTim McAlindon - Tufts Medical CenterSusanne Reiter - Federal Institute for Drugs and Medical DevicesPascal Richette - Hôpital LariboisièreRene Rizzoli - University Hospital of GenevaJean-Yves Reginster - University of Liège
- Publication Details
- Drugs & aging, Vol.34(5), pp.411-411
- Publisher
- Springer Nature
- Number of pages
- 1
- Grant note
- U1475000001 / Medical Research Council; UK Research & Innovation (UKRI); Medical Research Council UK (MRC); European Commission MC_U147585827; MC_U147585819; G0400491; MC_UU_12011/1; MC_U147585824; MC_UP_A620_1014 / Medical Research Council; UK Research & Innovation (UKRI); Medical Research Council UK (MRC); European Commission NF-SI-0508-10082 / National Institute for Health Research; National Institute for Health Research (NIHR) G0400491 / MRC; UK Research & Innovation (UKRI); Medical Research Council UK (MRC)
- Identifiers
- 9947850308331
- Academic Unit
- King Saud University
- Language
- English
- Resource Type
- Journal article
Journal article
Can We Identify Patients with High Risk of Osteoarthritis Progression Who Will Respond to Treatment? A Focus on Epidemiology and Phenotype of Osteoarthritis (vol 32, pg 179, 2015)
Drugs & aging, Vol.34(5), pp.411-411
01/05/2017
PMID: 28349414
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