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Osteoarthritis subpopulations and implications for clinical trial design

Treatment guidelines for osteoarthritis have stressed the need for research on clinical predictors of response to different treatments. However, identifying such clinical predictors of response is less easy than it seems, and there is not a given classification of osteoarthritis subpopulations. This...

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Detalles Bibliográficos
Autores principales: Bierma-Zeinstra, Sita MA, Verhagen, Arianne P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3132045/
https://www.ncbi.nlm.nih.gov/pubmed/21470393
http://dx.doi.org/10.1186/ar3299
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author Bierma-Zeinstra, Sita MA
Verhagen, Arianne P
author_facet Bierma-Zeinstra, Sita MA
Verhagen, Arianne P
author_sort Bierma-Zeinstra, Sita MA
collection PubMed
description Treatment guidelines for osteoarthritis have stressed the need for research on clinical predictors of response to different treatments. However, identifying such clinical predictors of response is less easy than it seems, and there is not a given classification of osteoarthritis subpopulations. This review article highlights the key methodical issues when analyzing and designing clinical studies to detect important subgroups with respect to treatment effect. In addition, we discuss the main osteoarthritis subpopulations and give examples of how specific treatment effects in these subpopulations have been assessed.
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spelling pubmed-31320452011-10-05 Osteoarthritis subpopulations and implications for clinical trial design Bierma-Zeinstra, Sita MA Verhagen, Arianne P Arthritis Res Ther Review Treatment guidelines for osteoarthritis have stressed the need for research on clinical predictors of response to different treatments. However, identifying such clinical predictors of response is less easy than it seems, and there is not a given classification of osteoarthritis subpopulations. This review article highlights the key methodical issues when analyzing and designing clinical studies to detect important subgroups with respect to treatment effect. In addition, we discuss the main osteoarthritis subpopulations and give examples of how specific treatment effects in these subpopulations have been assessed. BioMed Central 2011 2011-04-05 /pmc/articles/PMC3132045/ /pubmed/21470393 http://dx.doi.org/10.1186/ar3299 Text en Copyright ©2011 BioMed Central Ltd
spellingShingle Review
Bierma-Zeinstra, Sita MA
Verhagen, Arianne P
Osteoarthritis subpopulations and implications for clinical trial design
title Osteoarthritis subpopulations and implications for clinical trial design
title_full Osteoarthritis subpopulations and implications for clinical trial design
title_fullStr Osteoarthritis subpopulations and implications for clinical trial design
title_full_unstemmed Osteoarthritis subpopulations and implications for clinical trial design
title_short Osteoarthritis subpopulations and implications for clinical trial design
title_sort osteoarthritis subpopulations and implications for clinical trial design
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3132045/
https://www.ncbi.nlm.nih.gov/pubmed/21470393
http://dx.doi.org/10.1186/ar3299
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