An updated algorithm recommendation for the management of knee osteoarthritis from the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO)
University of Liège · National Research Council · +20 more institutions
Abstract
The European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) sought to revisit the 2014 algorithm recommendations for knee osteoarthritis (OA), in light of recent efficacy and safety evidence, in order to develop an updated stepwise algorithm that provides practical guidance for the prescribing physician that is applicable in Europe and internationally.
Using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) process, a summary of evidence document for each intervention in OA was provided to all members of an ESCEO working group, who were required to evaluate and vote on the strength of recommendation for each intervention. Based on the evidence collected, and on the strength of recommendations afforded by consensus of the working group, the final algorithm was constructed.
Citation impact
- FWCI
- 58.54
- Percentile
- 100%
- References
- 221
Authors
16- OBOlivier BruyèreCorresponding
University of Liège
- GHGermain Honvo
University of Liège
- NVNicola Veronese
National Research Council, Neuroscience Institute
- NANigel Arden
University of Oxford, University of Southampton, Southampton General Hospital, MRC Lifecourse Epidemiology Unit, Versus Arthritis
- JBJaime Branco
Universidade Nova de Lisboa
Topics & keywords
- Medicine
- Osteoarthritis
- Osteoporosis
- Physical therapy
- Algorithm
- Physical medicine and rehabilitation
- Alternative medicine
- Pathology
- Partnerships for the goals