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The importance of endpoint selection: How effective does a drug need to be for success in a clinical trial of a possible Alzheimer’s disease treatment?

To date, Alzheimer’s disease (AD) clinical trials have been largely unsuccessful. Failures have been attributed to a number of factors including ineffective drugs, inadequate targets, and poor trial design, of which the choice of endpoint is crucial. Using data from the Alzheimer’s Disease Neuroimag...

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Autores principales: Evans, Stephanie, McRae-McKee, Kevin, Wong, Mei Mei, Hadjichrysanthou, Christoforos, De Wolf, Frank, Anderson, Roy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061129/
https://www.ncbi.nlm.nih.gov/pubmed/29572656
http://dx.doi.org/10.1007/s10654-018-0381-0
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author Evans, Stephanie
McRae-McKee, Kevin
Wong, Mei Mei
Hadjichrysanthou, Christoforos
De Wolf, Frank
Anderson, Roy
author_facet Evans, Stephanie
McRae-McKee, Kevin
Wong, Mei Mei
Hadjichrysanthou, Christoforos
De Wolf, Frank
Anderson, Roy
author_sort Evans, Stephanie
collection PubMed
description To date, Alzheimer’s disease (AD) clinical trials have been largely unsuccessful. Failures have been attributed to a number of factors including ineffective drugs, inadequate targets, and poor trial design, of which the choice of endpoint is crucial. Using data from the Alzheimer’s Disease Neuroimaging Initiative, we have calculated the minimum detectable effect size (MDES) in change from baseline of a range of measures over time, and in different diagnostic groups along the AD development trajectory. The Functional Activities Questionnaire score had the smallest MDES for a single endpoint where an effect of 27% could be detected within 3 years in participants with Late Mild Cognitive Impairment (LMCI) at baseline, closely followed by the Clinical Dementia Rating Sum of Boxes (CDRSB) score at 28% after 2 years in the same group. Composite measures were even more successful than single endpoints with an MDES of 21% in 3 years. Using alternative cognitive, imaging, functional, or composite endpoints, and recruiting patients that have LMCI could improve the success rate of AD clinical trials. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10654-018-0381-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-60611292018-08-09 The importance of endpoint selection: How effective does a drug need to be for success in a clinical trial of a possible Alzheimer’s disease treatment? Evans, Stephanie McRae-McKee, Kevin Wong, Mei Mei Hadjichrysanthou, Christoforos De Wolf, Frank Anderson, Roy Eur J Epidemiol Neuro-Epidemiology To date, Alzheimer’s disease (AD) clinical trials have been largely unsuccessful. Failures have been attributed to a number of factors including ineffective drugs, inadequate targets, and poor trial design, of which the choice of endpoint is crucial. Using data from the Alzheimer’s Disease Neuroimaging Initiative, we have calculated the minimum detectable effect size (MDES) in change from baseline of a range of measures over time, and in different diagnostic groups along the AD development trajectory. The Functional Activities Questionnaire score had the smallest MDES for a single endpoint where an effect of 27% could be detected within 3 years in participants with Late Mild Cognitive Impairment (LMCI) at baseline, closely followed by the Clinical Dementia Rating Sum of Boxes (CDRSB) score at 28% after 2 years in the same group. Composite measures were even more successful than single endpoints with an MDES of 21% in 3 years. Using alternative cognitive, imaging, functional, or composite endpoints, and recruiting patients that have LMCI could improve the success rate of AD clinical trials. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10654-018-0381-0) contains supplementary material, which is available to authorized users. Springer Netherlands 2018-03-23 2018 /pmc/articles/PMC6061129/ /pubmed/29572656 http://dx.doi.org/10.1007/s10654-018-0381-0 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Neuro-Epidemiology
Evans, Stephanie
McRae-McKee, Kevin
Wong, Mei Mei
Hadjichrysanthou, Christoforos
De Wolf, Frank
Anderson, Roy
The importance of endpoint selection: How effective does a drug need to be for success in a clinical trial of a possible Alzheimer’s disease treatment?
title The importance of endpoint selection: How effective does a drug need to be for success in a clinical trial of a possible Alzheimer’s disease treatment?
title_full The importance of endpoint selection: How effective does a drug need to be for success in a clinical trial of a possible Alzheimer’s disease treatment?
title_fullStr The importance of endpoint selection: How effective does a drug need to be for success in a clinical trial of a possible Alzheimer’s disease treatment?
title_full_unstemmed The importance of endpoint selection: How effective does a drug need to be for success in a clinical trial of a possible Alzheimer’s disease treatment?
title_short The importance of endpoint selection: How effective does a drug need to be for success in a clinical trial of a possible Alzheimer’s disease treatment?
title_sort importance of endpoint selection: how effective does a drug need to be for success in a clinical trial of a possible alzheimer’s disease treatment?
topic Neuro-Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061129/
https://www.ncbi.nlm.nih.gov/pubmed/29572656
http://dx.doi.org/10.1007/s10654-018-0381-0
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