University of Oulu

van Spil, W.E., Bierma-Zeinstra, S.M.A., Deveza, L.A. et al. A consensus-based framework for conducting and reporting osteoarthritis phenotype research. Arthritis Res Ther 22, 54 (2020). https://doi.org/10.1186/s13075-020-2143-0

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

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Author: van Spil, W. E.1; Bierma-Zeinstra, S. M. A.2,3; Deveza, L. A.4;
Organizations: 1Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands
2Department of General Practice, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
3Department of Orthopedic Surgery, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
4Department of Rheumatology, Royal North Shore Hospital and Institute of Bone and Joint Research, Kolling Institute, University of Sydney, Sydney, Australia
5University of Oxford, Oxford, UK
6University of Sydney, Sydney, Australia
7Rheumatology, Nordic Bioscience, Herlev, Denmark
8School of Medicine, Duke University, Durham, USA
9Université de Montréal, Montréal, Canada
10Musculoskeletal Statistics Unit, The Parker Institute, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Frederiksberg, Denmark
11Research Unit of Rheumatology, Department of Clinical Research, Odense University Hospital, University of Southern Denmark, Odense, Denmark
12Reade, Center of Rehabilitation and Rheumatology, Amsterdam, The Netherlands
13Curtin University, Bentley, Australia
14University of Southern Denmark, Odense, Denmark
15Department of Health Sciences, VU Amsterdam, Amsterdam, The Netherlands
16Merck KGaA, Darmstadt, Germany
17Raymond Purves Labs, Institute of Bone and Joint Research, Kolling Institute, University of Sydney, Sydney, Australia
18Thurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC, USA
19Brigham and Women’s Hospital, Boston, USA
20Department of Health Professions, Macquarie University, Sydney, Australia
21Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
22School of Medicine, Boston University, Boston, USA
23Arthritis Research UK Primary Care Centre, Research Institute for Primary Care & Health Sciences, Keele University, Staffordshire, UK
24Haywood Academic Rheumatology Centre, Midlands Partnership NHS Foundation Trust, Haywood Hospital, Staffordshire, UK
25Université de Lorraine, EA 4360, Nancy, France
26School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
27School of Medicine, University of Nottingham, Nottingham, UK
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020040710620
Language: English
Published: Springer Nature, 2020
Publish Date: 2020-04-07
Description:

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.

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Series: Arthritis research & therapy
ISSN: 1478-6354
ISSN-E: 1478-6362
ISSN-L: 1478-6354
Volume: 22
Issue: 1
Article number: 54
DOI: 10.1186/s13075-020-2143-0
OADOI: https://oadoi.org/10.1186/s13075-020-2143-0
Type of Publication: A1 Journal article – refereed
Field of Science: 3121 General medicine, internal medicine and other clinical medicine
Subjects:
Funding: M.J. Thomas is currently supported by an Integrated Clinical Academic Programme Clinical Lecturership from the National Institute for Health Research (NIHR) and Health Education England (HEE) (ICA-CL-2016-02-014). The views expressed in this manuscript are those of the author(s) and not necessarily those of the NHS, the NIHR, HEE, or the Department of Health and Social Care. R. Christensen works at the Parker Institute, Bispebjerg and Frederiksberg Hospital (RC), which is supported by a core grant from the Oak Foundation (OCAY-13-309).
Dataset Reference: Supplementary information:
  https://static-content.springer.com/esm/art%3A10.1186%2Fs13075-020-2143-0/MediaObjects/13075_2020_2143_MOESM1_ESM.docx
Copyright information: © The Author(s) 2020. 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.
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