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A Framework for Extension Studies Using Real-World Data to Examine Long-Term Safety and Effectiveness

Understanding the long-term benefits and risks of treatments, devices, and vaccines is critically important for individual- and population-level healthcare decision-making. Extension studies, or ‘roll-over studies,’ are studies that allow for patients participating in a parent clinical trial to ‘rol...

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Autores principales: Burcu, Mehmet, Manzano-Salgado, Cyntia B., Butler, Anne M., Christian, Jennifer B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8274256/
https://www.ncbi.nlm.nih.gov/pubmed/34251656
http://dx.doi.org/10.1007/s43441-021-00322-8
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author Burcu, Mehmet
Manzano-Salgado, Cyntia B.
Butler, Anne M.
Christian, Jennifer B.
author_facet Burcu, Mehmet
Manzano-Salgado, Cyntia B.
Butler, Anne M.
Christian, Jennifer B.
author_sort Burcu, Mehmet
collection PubMed
description Understanding the long-term benefits and risks of treatments, devices, and vaccines is critically important for individual- and population-level healthcare decision-making. Extension studies, or ‘roll-over studies,’ are studies that allow for patients participating in a parent clinical trial to ‘roll-over’ into a subsequent related study to continue to observe and measure long-term safety, tolerability, and/or effectiveness. These designs are not new and are often used as an approach to satisfy regulatory post-approval safety requirements. However, designs using traditional clinical trial infrastructure can be expensive and burdensome to conduct, particularly, when following patients for many years post trial completion. Given the increasing availability and access of real-world data (RWD) sources, direct-to-patient technologies, and novel real-world study designs, there are more cost-efficient approaches to conducting extension studies while assessing important long-term outcomes. Here, we describe various fit-for-purpose design options for extension studies, discuss related methodological considerations, and provide scientific and operational guidance on practices when planning to conduct an extension study using RWD. This manuscript is endorsed by the International Society for Pharmacoepidemiology (ISPE).
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spelling pubmed-82742562021-07-12 A Framework for Extension Studies Using Real-World Data to Examine Long-Term Safety and Effectiveness Burcu, Mehmet Manzano-Salgado, Cyntia B. Butler, Anne M. Christian, Jennifer B. Ther Innov Regul Sci Review Understanding the long-term benefits and risks of treatments, devices, and vaccines is critically important for individual- and population-level healthcare decision-making. Extension studies, or ‘roll-over studies,’ are studies that allow for patients participating in a parent clinical trial to ‘roll-over’ into a subsequent related study to continue to observe and measure long-term safety, tolerability, and/or effectiveness. These designs are not new and are often used as an approach to satisfy regulatory post-approval safety requirements. However, designs using traditional clinical trial infrastructure can be expensive and burdensome to conduct, particularly, when following patients for many years post trial completion. Given the increasing availability and access of real-world data (RWD) sources, direct-to-patient technologies, and novel real-world study designs, there are more cost-efficient approaches to conducting extension studies while assessing important long-term outcomes. Here, we describe various fit-for-purpose design options for extension studies, discuss related methodological considerations, and provide scientific and operational guidance on practices when planning to conduct an extension study using RWD. This manuscript is endorsed by the International Society for Pharmacoepidemiology (ISPE). Springer International Publishing 2021-07-12 2022 /pmc/articles/PMC8274256/ /pubmed/34251656 http://dx.doi.org/10.1007/s43441-021-00322-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Burcu, Mehmet
Manzano-Salgado, Cyntia B.
Butler, Anne M.
Christian, Jennifer B.
A Framework for Extension Studies Using Real-World Data to Examine Long-Term Safety and Effectiveness
title A Framework for Extension Studies Using Real-World Data to Examine Long-Term Safety and Effectiveness
title_full A Framework for Extension Studies Using Real-World Data to Examine Long-Term Safety and Effectiveness
title_fullStr A Framework for Extension Studies Using Real-World Data to Examine Long-Term Safety and Effectiveness
title_full_unstemmed A Framework for Extension Studies Using Real-World Data to Examine Long-Term Safety and Effectiveness
title_short A Framework for Extension Studies Using Real-World Data to Examine Long-Term Safety and Effectiveness
title_sort framework for extension studies using real-world data to examine long-term safety and effectiveness
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8274256/
https://www.ncbi.nlm.nih.gov/pubmed/34251656
http://dx.doi.org/10.1007/s43441-021-00322-8
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