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Harmonising measures of knee and hip osteoarthritis in population-based cohort studies: an international study
Citation
Leyland, KM and Gates, LS and Nevitt, M and Felson, D and Bierma-Zeinstra, SM and Conaghan, PG and Engebretsen, L and Hochberg, M and Hunter, DJ and Jones, G and Jordan, JM and Judge, A and Lohmander, LS and Roos, EM and Sanchez-Santos, MT and Yoshimura, N and van Meurs, JBJ and Batt, ME and Newton, J and Cooper, C and Arden, NK, Harmonising measures of knee and hip osteoarthritis in population-based cohort studies: an international study, Osteoarthritis and Cartilage, 26, (7) pp. 872-879. ISSN 1063-4584 (2018) [Refereed Article]
Copyright Statement
2018 Published by Elsevier Ltd on behalf of Osteoarthritis Research Society International.
DOI: doi:10.1016/j.joca.2018.01.024
Abstract
Method: International OA experts met to make recommendations on: 1) defining OA by X-ray and/or pain; 2) compare The National Health and Nutrition Examination Survey (NHANES)-type OA pain questions; 3) the comparability of the Western Ontario & McMaster Universities Osteoarthritis Index (WOMAC) scale to NHANES-type OA pain questions; 4) the best radiographic scoring method; 5) the usefulness of other OA outcome measures. Key issues were explored using new analyses in two population-based OA cohorts (Multicenter Osteoarthritis Study; MOST and Osteoarthritis Initiative OAI).
Results: OA should be defined by both symptoms and radiographs, with symptoms alone as a secondary definition. Kellgren and Lawrence (K/L) grade ≥2 should be used to define radiographic OA (ROA). The variable wording of pain questions can result in varying prevalence between 41.0% and 75.4%, however questions where the time anchor is similar have high sensitivity and specificity (91.2% and 89.9% respectively). A threshold of 3 on a 0-20 scale (95% CI 2.1, 3.9) in the WOMAC pain subscale demonstrated equivalence with the preferred NHANES-type question.
Conclusion: This research provides recommendations, based on expert agreement, for harmonising and combining OA data in existing and future population-based cohorts.
Item Details
Item Type: | Refereed Article |
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Keywords: | cohort, data, epidemiology, harmonisation, osteoarthritis |
Research Division: | Biomedical and Clinical Sciences |
Research Group: | Clinical sciences |
Research Field: | Rheumatology and arthritis |
Objective Division: | Health |
Objective Group: | Clinical health |
Objective Field: | Clinical health not elsewhere classified |
UTAS Author: | Jones, G (Professor Graeme Jones) |
ID Code: | 125756 |
Year Published: | 2018 |
Web of Science® Times Cited: | 14 |
Deposited By: | Menzies Institute for Medical Research |
Deposited On: | 2018-05-03 |
Last Modified: | 2019-01-17 |
Downloads: | 0 |
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