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Challenges in translating endpoints from trials to observational cohort studies in oncology

Clinical trials are considered the gold standard for examining drug efficacy and for approval of new drugs. Medical databases and population surveillance registries are valuable resources for post-approval observational research, which are increasingly used in studies of benefits and risk of new can...

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Autores principales: Ording, Anne Gulbech, Cronin-Fenton, Deirdre, Ehrenstein, Vera, Lash, Timothy L, Acquavella, John, Rørth, Mikael, Sørensen, Henrik Toft
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4910679/
https://www.ncbi.nlm.nih.gov/pubmed/27354827
http://dx.doi.org/10.2147/CLEP.S97874
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author Ording, Anne Gulbech
Cronin-Fenton, Deirdre
Ehrenstein, Vera
Lash, Timothy L
Acquavella, John
Rørth, Mikael
Sørensen, Henrik Toft
author_facet Ording, Anne Gulbech
Cronin-Fenton, Deirdre
Ehrenstein, Vera
Lash, Timothy L
Acquavella, John
Rørth, Mikael
Sørensen, Henrik Toft
author_sort Ording, Anne Gulbech
collection PubMed
description Clinical trials are considered the gold standard for examining drug efficacy and for approval of new drugs. Medical databases and population surveillance registries are valuable resources for post-approval observational research, which are increasingly used in studies of benefits and risk of new cancer drugs. Here, we address the challenges in translating endpoints from oncology trials to observational studies. Registry-based cohort studies can investigate real-world safety issues – including previously unrecognized concerns – by examining rare endpoints or multiple endpoints at once. In contrast to clinical trials, observational cohort studies typically do not exclude real-world patients from clinical practice, such as old and frail patients with comorbidity. The observational cohort study complements the clinical trial by examining the effectiveness of interventions applied in clinical practice and by providing evidence on long-term clinical outcomes, which are often not feasible to study in a clinical trial. Various endpoints can be included in clinical trials, such as hard endpoints, soft endpoints, surrogate endpoints, and patient-reported endpoints. Each endpoint has it strengths and limitations for use in research studies. Endpoints used in oncology trials are often not applicable in observational cohort studies which are limited by the setting of standard clinical practice and by non-standardized endpoint determination. Observational studies can be more helpful moving research forward if they restrict focus to appropriate and valid endpoints.
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spelling pubmed-49106792016-06-28 Challenges in translating endpoints from trials to observational cohort studies in oncology Ording, Anne Gulbech Cronin-Fenton, Deirdre Ehrenstein, Vera Lash, Timothy L Acquavella, John Rørth, Mikael Sørensen, Henrik Toft Clin Epidemiol Review Clinical trials are considered the gold standard for examining drug efficacy and for approval of new drugs. Medical databases and population surveillance registries are valuable resources for post-approval observational research, which are increasingly used in studies of benefits and risk of new cancer drugs. Here, we address the challenges in translating endpoints from oncology trials to observational studies. Registry-based cohort studies can investigate real-world safety issues – including previously unrecognized concerns – by examining rare endpoints or multiple endpoints at once. In contrast to clinical trials, observational cohort studies typically do not exclude real-world patients from clinical practice, such as old and frail patients with comorbidity. The observational cohort study complements the clinical trial by examining the effectiveness of interventions applied in clinical practice and by providing evidence on long-term clinical outcomes, which are often not feasible to study in a clinical trial. Various endpoints can be included in clinical trials, such as hard endpoints, soft endpoints, surrogate endpoints, and patient-reported endpoints. Each endpoint has it strengths and limitations for use in research studies. Endpoints used in oncology trials are often not applicable in observational cohort studies which are limited by the setting of standard clinical practice and by non-standardized endpoint determination. Observational studies can be more helpful moving research forward if they restrict focus to appropriate and valid endpoints. Dove Medical Press 2016-06-11 /pmc/articles/PMC4910679/ /pubmed/27354827 http://dx.doi.org/10.2147/CLEP.S97874 Text en © 2016 Ording et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Review
Ording, Anne Gulbech
Cronin-Fenton, Deirdre
Ehrenstein, Vera
Lash, Timothy L
Acquavella, John
Rørth, Mikael
Sørensen, Henrik Toft
Challenges in translating endpoints from trials to observational cohort studies in oncology
title Challenges in translating endpoints from trials to observational cohort studies in oncology
title_full Challenges in translating endpoints from trials to observational cohort studies in oncology
title_fullStr Challenges in translating endpoints from trials to observational cohort studies in oncology
title_full_unstemmed Challenges in translating endpoints from trials to observational cohort studies in oncology
title_short Challenges in translating endpoints from trials to observational cohort studies in oncology
title_sort challenges in translating endpoints from trials to observational cohort studies in oncology
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4910679/
https://www.ncbi.nlm.nih.gov/pubmed/27354827
http://dx.doi.org/10.2147/CLEP.S97874
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