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The randomised clinical trial and the hazard ratio – medical research’s Emperor’s New Clothes?

As the enthusiasm for individualized treatment and targeted therapies continues to gain momentum, it seems timely to re-assess whether our current research tools are fit for purpose. Randomized Clinical Trials compare groups of patients, the Hazard Ratio is a ‘group summary statistic’, and modeling...

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Detalles Bibliográficos
Autores principales: Stephens, Richard, Stewart, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4003285/
https://www.ncbi.nlm.nih.gov/pubmed/24731512
http://dx.doi.org/10.1186/1471-2407-14-260
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author Stephens, Richard
Stewart, David
author_facet Stephens, Richard
Stewart, David
author_sort Stephens, Richard
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description As the enthusiasm for individualized treatment and targeted therapies continues to gain momentum, it seems timely to re-assess whether our current research tools are fit for purpose. Randomized Clinical Trials compare groups of patients, the Hazard Ratio is a ‘group summary statistic’, and modeling shows that the same Hazard Ratio score could result from a number of scenarios. Thus the current tools do not provide definitive information as to how to treat an individual patient. We therefore need to concentrate on the use of predictive factor analyses to identify the characteristics of subgroups of patients who respond to specific treatments.
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spelling pubmed-40032852014-04-30 The randomised clinical trial and the hazard ratio – medical research’s Emperor’s New Clothes? Stephens, Richard Stewart, David BMC Cancer Correspondence As the enthusiasm for individualized treatment and targeted therapies continues to gain momentum, it seems timely to re-assess whether our current research tools are fit for purpose. Randomized Clinical Trials compare groups of patients, the Hazard Ratio is a ‘group summary statistic’, and modeling shows that the same Hazard Ratio score could result from a number of scenarios. Thus the current tools do not provide definitive information as to how to treat an individual patient. We therefore need to concentrate on the use of predictive factor analyses to identify the characteristics of subgroups of patients who respond to specific treatments. BioMed Central 2014-04-14 /pmc/articles/PMC4003285/ /pubmed/24731512 http://dx.doi.org/10.1186/1471-2407-14-260 Text en Copyright © 2014 Stephens and Stewart; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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.
spellingShingle Correspondence
Stephens, Richard
Stewart, David
The randomised clinical trial and the hazard ratio – medical research’s Emperor’s New Clothes?
title The randomised clinical trial and the hazard ratio – medical research’s Emperor’s New Clothes?
title_full The randomised clinical trial and the hazard ratio – medical research’s Emperor’s New Clothes?
title_fullStr The randomised clinical trial and the hazard ratio – medical research’s Emperor’s New Clothes?
title_full_unstemmed The randomised clinical trial and the hazard ratio – medical research’s Emperor’s New Clothes?
title_short The randomised clinical trial and the hazard ratio – medical research’s Emperor’s New Clothes?
title_sort randomised clinical trial and the hazard ratio – medical research’s emperor’s new clothes?
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4003285/
https://www.ncbi.nlm.nih.gov/pubmed/24731512
http://dx.doi.org/10.1186/1471-2407-14-260
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