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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Main Authors:	Bierma-Zeinstra, Sita MA, Verhagen, Arianne P
Format:	Online
Language:	English
Published:	BioMed Central 2011
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3132045/

id	pubmed-3132045
recordtype	oai_dc
spelling	pubmed-31320452011-10-05 Osteoarthritis subpopulations and implications for clinical trial design Bierma-Zeinstra, Sita MA Verhagen, Arianne P 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
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Bierma-Zeinstra, Sita MA Verhagen, Arianne P
spellingShingle	Bierma-Zeinstra, Sita MA Verhagen, Arianne P Osteoarthritis subpopulations and implications for clinical trial design
author_facet	Bierma-Zeinstra, Sita MA Verhagen, Arianne P
author_sort	Bierma-Zeinstra, Sita MA
title	Osteoarthritis subpopulations and implications for clinical trial design
title_short	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_sort	osteoarthritis subpopulations and implications for clinical trial design
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.
publisher	BioMed Central
publishDate	2011
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3132045/
_version_	1611464376062050304

Osteoarthritis subpopulations and implications for clinical trial design

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