The University of Southampton
University of Southampton Institutional Repository

EULAR evidence-based recommendations for the diagnosis of knee osteoarthritis

EULAR evidence-based recommendations for the diagnosis of knee osteoarthritis
EULAR evidence-based recommendations for the diagnosis of knee osteoarthritis
Objective: to develop evidence-based recommendations for the diagnosis of knee osteoarthritis (OA).

Methods: the multidisciplinary guideline development group, representing 12 European countries, generated 10 key propositions regarding diagnosis using a Delphi consensus approach. For each recommendation, research evidence was searched systematically. Whenever possible, the sensitivity, specificity and likelihood ratio were calculated for individual diagnostic indicators and a diagnostic ladder was developed using Bayes' method. Secondary analyses were undertaken to test directly the recommendations using multiple predictive models in two populations from the UK and the Netherlands. Strength of recommendation was assessed by the EULAR visual analogue scale.

Results: recommendations covered the definition of knee OA and its risk factors, subsets, typical symptoms and signs, the use of imaging and laboratory tests and differential diagnosis. Three symptoms (persistent knee pain, limited morning stiffness and reduced function) and three signs (crepitus, restricted movement and bony enlargement) appeared to be the most useful. Assuming a 12.5% background prevalence of knee OA in adults aged ?45 years, the estimated probability of having radiographic knee OA increased with increasing number of positive features, to 99% when all six symptoms and signs were present. The performance of the recommendations in the study populations varied according to the definition of knee OA, background risk and number of tests applied.

Conclusion: 10 key recommendations for diagnosis of knee OA were developed using both research evidence and expert consensus. Although there is no agreed reference standard, thorough clinical assessment alone can provide a confident rule-in diagnosis.
0003-4967
483-489
Zhang, W.
1c80d4f2-4ba8-41f6-85a6-a76a4d65dc9b
Doherty, M.
3ccd8b47-e119-4f38-b813-08e9036a9ff3
Peat, G.
eb84fa13-dcd6-4891-9215-607717dbc2fb
Bierma-Zeinstra, M.A.
f1db4a93-96fb-415b-abcb-a1179f9744e0
Arden, N.K.
23af958d-835c-4d79-be54-4bbe4c68077f
Bresnihan, B.
9863a089-7e10-4e21-a561-9aa2d4f9118f
Herrero-Beaumont, G.
514e463a-d5b5-400d-aa6b-1b0ac2f720dc
Kirschner, S.
b461dd11-21a1-40d5-a778-254e099e6e01
Leeb, B.F.
681c729c-41b2-417c-b35a-4e6cf1d8f5f1
Lohmander, L.S.
49c49f6f-5140-43fc-a33c-d7f8120b6640
Mazieres, B.
a67dd65d-169e-40af-a004-50c2f69ee043
Pavelka, K.
d2dc7e87-7ebd-4a11-825f-e3f46d364df4
Punzi, L.
6104dcef-f4eb-4a61-85d8-d20e01d5d1c3
So, A.K.
146cd769-109e-45fd-9990-6a4329a062f9
Tuncer, T.
510b660b-69dc-4c6a-97ab-beb0083987eb
Watt, I.
d4406ff6-664f-4ab4-af10-aaddd3d377b0
Bijlsma, J.W.
7cb4fea9-4b22-4ba9-8bfc-01eef45503ef
Zhang, W.
1c80d4f2-4ba8-41f6-85a6-a76a4d65dc9b
Doherty, M.
3ccd8b47-e119-4f38-b813-08e9036a9ff3
Peat, G.
eb84fa13-dcd6-4891-9215-607717dbc2fb
Bierma-Zeinstra, M.A.
f1db4a93-96fb-415b-abcb-a1179f9744e0
Arden, N.K.
23af958d-835c-4d79-be54-4bbe4c68077f
Bresnihan, B.
9863a089-7e10-4e21-a561-9aa2d4f9118f
Herrero-Beaumont, G.
514e463a-d5b5-400d-aa6b-1b0ac2f720dc
Kirschner, S.
b461dd11-21a1-40d5-a778-254e099e6e01
Leeb, B.F.
681c729c-41b2-417c-b35a-4e6cf1d8f5f1
Lohmander, L.S.
49c49f6f-5140-43fc-a33c-d7f8120b6640
Mazieres, B.
a67dd65d-169e-40af-a004-50c2f69ee043
Pavelka, K.
d2dc7e87-7ebd-4a11-825f-e3f46d364df4
Punzi, L.
6104dcef-f4eb-4a61-85d8-d20e01d5d1c3
So, A.K.
146cd769-109e-45fd-9990-6a4329a062f9
Tuncer, T.
510b660b-69dc-4c6a-97ab-beb0083987eb
Watt, I.
d4406ff6-664f-4ab4-af10-aaddd3d377b0
Bijlsma, J.W.
7cb4fea9-4b22-4ba9-8bfc-01eef45503ef

Zhang, W., Doherty, M., Peat, G., Bierma-Zeinstra, M.A., Arden, N.K., Bresnihan, B., Herrero-Beaumont, G., Kirschner, S., Leeb, B.F., Lohmander, L.S., Mazieres, B., Pavelka, K., Punzi, L., So, A.K., Tuncer, T., Watt, I. and Bijlsma, J.W. (2010) EULAR evidence-based recommendations for the diagnosis of knee osteoarthritis. Annals of the Rheumatic Diseases, 69 (3), 483-489. (doi:10.1136/ard.2009.113100).

Record type: Article

Abstract

Objective: to develop evidence-based recommendations for the diagnosis of knee osteoarthritis (OA).

Methods: the multidisciplinary guideline development group, representing 12 European countries, generated 10 key propositions regarding diagnosis using a Delphi consensus approach. For each recommendation, research evidence was searched systematically. Whenever possible, the sensitivity, specificity and likelihood ratio were calculated for individual diagnostic indicators and a diagnostic ladder was developed using Bayes' method. Secondary analyses were undertaken to test directly the recommendations using multiple predictive models in two populations from the UK and the Netherlands. Strength of recommendation was assessed by the EULAR visual analogue scale.

Results: recommendations covered the definition of knee OA and its risk factors, subsets, typical symptoms and signs, the use of imaging and laboratory tests and differential diagnosis. Three symptoms (persistent knee pain, limited morning stiffness and reduced function) and three signs (crepitus, restricted movement and bony enlargement) appeared to be the most useful. Assuming a 12.5% background prevalence of knee OA in adults aged ?45 years, the estimated probability of having radiographic knee OA increased with increasing number of positive features, to 99% when all six symptoms and signs were present. The performance of the recommendations in the study populations varied according to the definition of knee OA, background risk and number of tests applied.

Conclusion: 10 key recommendations for diagnosis of knee OA were developed using both research evidence and expert consensus. Although there is no agreed reference standard, thorough clinical assessment alone can provide a confident rule-in diagnosis.

This record has no associated files available for download.

More information

Published date: March 2010

Identifiers

Local EPrints ID: 152053
URI: http://eprints.soton.ac.uk/id/eprint/152053
ISSN: 0003-4967
PURE UUID: f3e1de21-32ea-4d8f-8f48-bca7890f44bb

Catalogue record

Date deposited: 13 May 2010 09:41
Last modified: 14 Mar 2024 01:21

Export record

Altmetrics

Contributors

Author: W. Zhang
Author: M. Doherty
Author: G. Peat
Author: M.A. Bierma-Zeinstra
Author: N.K. Arden
Author: B. Bresnihan
Author: G. Herrero-Beaumont
Author: S. Kirschner
Author: B.F. Leeb
Author: L.S. Lohmander
Author: B. Mazieres
Author: K. Pavelka
Author: L. Punzi
Author: A.K. So
Author: T. Tuncer
Author: I. Watt
Author: J.W. Bijlsma

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×