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A consensus-based framework for conducting and reporting osteoarthritis phenotype research

Authors :
Robin Christensen
Elena Losina
Lisa C. Carlesso
Sita M A Bierma-Zeinstra
Jesper Knoop
Amanda E. Nelson
Ana M. Valdes
Martin J. Thomas
M. van der Esch
Kathryn Mills
Richard F. Loeser
V. Byers Kraus
M.P.M. Steultjens
Christopher B. Little
George Peat
Tuhina Neogi
David J. Hunter
W.E. van Spil
Leticia A Deveza
Ali Mobasheri
Nigel K Arden
Anne-Christine Bay-Jensen
Christoph Ladel
Peter Kent
A.-C. Rat
Department of Orthopedic Surgery [Boston]
Brigham and Women's Hospital [Boston]
Maladies chroniques, santé perçue, et processus d'adaptation (APEMAC)
Université Paris Descartes - Paris 5 (UPD5)-Université de Lorraine (UL)
School of Health and Life Sciences [Glasgow Caledonian University]
Glasgow Caledonian University (GCU)
Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO)
Department of Statistics, Penn State University
University of Pennsylvania [Philadelphia]
Urban Vitality
Lectoraat Interdisciplinaire Zorg voor Chronische Gewrichtsaandoeningen
Health Economics and Health Technology Assessment
AMS - Ageing and Morbidity
APH - Aging & Later Life
APH - Health Behaviors & Chronic Diseases
General Practice
Orthopedics and Sports Medicine
Source :
Arthritis Research and Therapy, Arthritis Research and Therapy, BioMed Central, 2020, 22 (1), ⟨10.1186/s13075-020-2143-0⟩, Arthritis research & therapy, 22:54. BioMed Central Ltd., Van Spil, W E, Bierma-Zeinstra, S M A, Deveza, L A, Arden, N K, Bay-Jensen, A C, Kraus, V B, Carlesso, L, Christensen, R, Van Der Esch, M, Kent, P, Knoop, J, Ladel, C, Little, C B, Loeser, R F, Losina, E, Mills, K, Mobasheri, A, Nelson, A E, Neogi, T, Peat, G M, Rat, A C, Steultjens, M, Thomas, M J, Valdes, A M & Hunter, D J 2020, ' A consensus-based framework for conducting and reporting osteoarthritis phenotype research ', Arthritis Research and Therapy, vol. 22, no. 1, 54, pp. 1-7 . https://doi.org/10.1186/s13075-020-2143-0, Arthritis Research & Therapy, Vol 22, Iss 1, Pp 1-7 (2020), Arthritis Research and Therapy, 22(1):54, 1-7. BioMed Central, Arthritis Research and Therapy, 22. BioMed Central Ltd., Arthritis Research & Therapy, 22, 54, Arthritis Research & Therapy, Van Spil, W E, Bierma-Zeinstra, S M A, Deveza, L A, Arden, N K, Bay-Jensen, A C, Kraus, V B, Carlesso, L, Christensen, R, Van Der Esch, M, Kent, P, Knoop, J, Ladel, C, Little, C B, Loeser, R F, Losina, E, Mills, K, Mobasheri, A, Nelson, A E, Neogi, T, Peat, G M, Rat, A C, Steultjens, M, Thomas, M J, Valdes, A M & Hunter, D J 2020, ' A consensus-based framework for conducting and reporting osteoarthritis phenotype research ', Arthritis Research and Therapy, vol. 22, 54 . https://doi.org/10.1186/s13075-020-2143-0
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

Background The concept of osteoarthritis (OA) heterogeneity is evolving and gaining renewed interest. According to this concept, distinct subtypes of OA need to be defined that will likely require recognition in research design and different approaches to clinical management. Although seemingly plausible, a wide range of views exist on how best to operationalize this concept. The current project aimed to provide consensus-based definitions and recommendations that together create a framework for conducting and reporting OA phenotype research. Methods A panel of 25 members with expertise in OA phenotype research was composed. First, panel members participated in an online Delphi exercise to provide a number of basic definitions and statements relating to OA phenotypes and OA phenotype research. Second, panel members provided input on a set of recommendations for reporting on OA phenotype studies. Results Four Delphi rounds were required to achieve sufficient agreement on 11 definitions and statements. OA phenotypes were defined as subtypes of OA that share distinct underlying pathobiological and pain mechanisms and their structural and functional consequences. Reporting recommendations pertaining to the study characteristics, study population, data collection, statistical analysis, and appraisal of OA phenotype studies were provided. Conclusions This study provides a number of consensus-based definitions and recommendations relating to OA phenotypes. The resulting framework is intended to facilitate research on OA phenotypes and increase combined efforts to develop effective OA phenotype classification. Success in this endeavor will hopefully translate into more effective, differentiated OA management that will benefit a multitude of OA patients.

Details

ISSN :
14786362 and 14786354
Volume :
22
Database :
OpenAIRE
Journal :
Arthritis Research & Therapy
Accession number :
edsair.doi.dedup.....da8beb6d45c3db422310fa46c7643859
Full Text :
https://doi.org/10.1186/s13075-020-2143-0