van Spil, WE, Bierma-Zeinstra, SMA, Deveza, LA, Arden, NK, Bay-Jensen, A-C, Kraus, VB, Carlesso, L, Christensen, R, Van Der Esch, M, Kent, P, Knoop, J, Ladel, C, Little, CB, Loeser, RF, Losina, E, Mills, K, Mobasheri, A, Nelson, AE, Neogi, T, Peat, GM ORCID: https://orcid.org/0000-0002-9008-0184, Rat, A-C, Steultjens, M, Thomas, MJ ORCID: https://orcid.org/0000-0002-4951-9925, Valdes, AM and Hunter, DJ (2020) A consensus-based framework for conducting and reporting osteoarthritis phenotype research. Arthritis Research & Therapy, 22 (1).

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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.

Item Type: Article
Additional Information: Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Uncontrolled Keywords: Osteoarthritis; Phenotypes; Framework; Consensus
Subjects: Q Science > Q Science (General)
R Medicine > R Medicine (General)
Divisions: Faculty of Medicine and Health Sciences > School of Primary, Community and Social Care
Depositing User: Symplectic
Date Deposited: 26 Mar 2020 14:49
Last Modified: 26 Mar 2020 14:49
URI: https://eprints.keele.ac.uk/id/eprint/7840

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