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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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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. |
format | Online Article Text |
id | pubmed-3132045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT biermazeinstrasitama osteoarthritissubpopulationsandimplicationsforclinicaltrialdesign AT verhagenariannep osteoarthritissubpopulationsandimplicationsforclinicaltrialdesign |