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The ACR20 and defining a threshold for response in rheumatic diseases: too much of a good thing

In the past 20 years great progress has been made in the development of multidimensional outcome measures (such as the Disease Activity Score and ACR20) to evaluate treatments in rheumatoid arthritis, a process disseminated throughout rheumatic diseases. These outcome measures have standardized the...

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Autores principales: Felson, David T, LaValley, Michael P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3978644/
https://www.ncbi.nlm.nih.gov/pubmed/24387346
http://dx.doi.org/10.1186/ar4428
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author Felson, David T
LaValley, Michael P
author_facet Felson, David T
LaValley, Michael P
author_sort Felson, David T
collection PubMed
description In the past 20 years great progress has been made in the development of multidimensional outcome measures (such as the Disease Activity Score and ACR20) to evaluate treatments in rheumatoid arthritis, a process disseminated throughout rheumatic diseases. These outcome measures have standardized the assessment of outcomes in trials, making it possible to evaluate and compare the efficacy of treatments. The methodologic advances have included the selection of pre-existing outcome measures that detected change in a sensitive fashion (in rheumatoid arthritis, this was the Core Set Measures). These measures were then combined into a single multidimensional outcome measure and such outcome measures have been widely adopted in trials and endorsed by the American College of Rheumatology (ACR) and the European League Against Rheumatism (EULAR) and regulatory agencies. The secular improvement in treatment for patients with rheumatoid arthritis has been facilitated in part by these major methodologic advancements. The one element of this effort that has not optimized measurement of outcomes nor made it easier to detect the effect of treatments is the dichotomization of continuous measures of response, creating responders and non-responder definitions (for example, ACR20 responders; EULAR good responders). Dichotomizing response sacrifices statistical power and eliminates variability in response. Future methodologic work will need to focus on improving multidimensional outcome measurement without arbitrarily characterizing some patients as responders while labeling others as non-responders.
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spelling pubmed-39786442014-07-03 The ACR20 and defining a threshold for response in rheumatic diseases: too much of a good thing Felson, David T LaValley, Michael P Arthritis Res Ther Commentary In the past 20 years great progress has been made in the development of multidimensional outcome measures (such as the Disease Activity Score and ACR20) to evaluate treatments in rheumatoid arthritis, a process disseminated throughout rheumatic diseases. These outcome measures have standardized the assessment of outcomes in trials, making it possible to evaluate and compare the efficacy of treatments. The methodologic advances have included the selection of pre-existing outcome measures that detected change in a sensitive fashion (in rheumatoid arthritis, this was the Core Set Measures). These measures were then combined into a single multidimensional outcome measure and such outcome measures have been widely adopted in trials and endorsed by the American College of Rheumatology (ACR) and the European League Against Rheumatism (EULAR) and regulatory agencies. The secular improvement in treatment for patients with rheumatoid arthritis has been facilitated in part by these major methodologic advancements. The one element of this effort that has not optimized measurement of outcomes nor made it easier to detect the effect of treatments is the dichotomization of continuous measures of response, creating responders and non-responder definitions (for example, ACR20 responders; EULAR good responders). Dichotomizing response sacrifices statistical power and eliminates variability in response. Future methodologic work will need to focus on improving multidimensional outcome measurement without arbitrarily characterizing some patients as responders while labeling others as non-responders. BioMed Central 2014 2014-01-03 /pmc/articles/PMC3978644/ /pubmed/24387346 http://dx.doi.org/10.1186/ar4428 Text en Copyright © 2014 BioMed Central Ltd.
spellingShingle Commentary
Felson, David T
LaValley, Michael P
The ACR20 and defining a threshold for response in rheumatic diseases: too much of a good thing
title The ACR20 and defining a threshold for response in rheumatic diseases: too much of a good thing
title_full The ACR20 and defining a threshold for response in rheumatic diseases: too much of a good thing
title_fullStr The ACR20 and defining a threshold for response in rheumatic diseases: too much of a good thing
title_full_unstemmed The ACR20 and defining a threshold for response in rheumatic diseases: too much of a good thing
title_short The ACR20 and defining a threshold for response in rheumatic diseases: too much of a good thing
title_sort acr20 and defining a threshold for response in rheumatic diseases: too much of a good thing
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3978644/
https://www.ncbi.nlm.nih.gov/pubmed/24387346
http://dx.doi.org/10.1186/ar4428
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