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Statistical Considerations on the Use of RWD/RWE for Oncology Drug Approvals: Overview and Lessons Learned
Despite increasing utilization of real-world data (RWD)/real-world evidence (RWE) in regulatory submissions, their application to oncology drug approvals has seen limited success. Real-world data is most commonly summarized as a benchmark control for a single arm study or used to augment the concurr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276785/ https://www.ncbi.nlm.nih.gov/pubmed/37179264 http://dx.doi.org/10.1007/s43441-023-00528-y |
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author | Ro, Sunhee K. Zhang, Weidong Jiang, Qi Li, Xiaoyun Nicole Liu, Rong Lu, Chengxing Cindy Marchenko, Olga Sun, Linda Zhao, Jing |
author_facet | Ro, Sunhee K. Zhang, Weidong Jiang, Qi Li, Xiaoyun Nicole Liu, Rong Lu, Chengxing Cindy Marchenko, Olga Sun, Linda Zhao, Jing |
author_sort | Ro, Sunhee K. |
collection | PubMed |
description | Despite increasing utilization of real-world data (RWD)/real-world evidence (RWE) in regulatory submissions, their application to oncology drug approvals has seen limited success. Real-world data is most commonly summarized as a benchmark control for a single arm study or used to augment the concurrent control in a randomized clinical trial (RCT). While there has been substantial research on usage of RWD/RWE, our goal is to provide a comprehensive overview of their use in oncology drug approval submissions to inform future RWD/RWE study design. We will review examples of applications and summarize the strengths and weaknesses of each example identified by regulatory agencies. A few noteworthy case studies will be reviewed in detail. Operational aspects of RWD/RWE study design/analysis will be also discussed. |
format | Online Article Text |
id | pubmed-10276785 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-102767852023-06-19 Statistical Considerations on the Use of RWD/RWE for Oncology Drug Approvals: Overview and Lessons Learned Ro, Sunhee K. Zhang, Weidong Jiang, Qi Li, Xiaoyun Nicole Liu, Rong Lu, Chengxing Cindy Marchenko, Olga Sun, Linda Zhao, Jing Ther Innov Regul Sci Review Despite increasing utilization of real-world data (RWD)/real-world evidence (RWE) in regulatory submissions, their application to oncology drug approvals has seen limited success. Real-world data is most commonly summarized as a benchmark control for a single arm study or used to augment the concurrent control in a randomized clinical trial (RCT). While there has been substantial research on usage of RWD/RWE, our goal is to provide a comprehensive overview of their use in oncology drug approval submissions to inform future RWD/RWE study design. We will review examples of applications and summarize the strengths and weaknesses of each example identified by regulatory agencies. A few noteworthy case studies will be reviewed in detail. Operational aspects of RWD/RWE study design/analysis will be also discussed. Springer International Publishing 2023-05-13 2023 /pmc/articles/PMC10276785/ /pubmed/37179264 http://dx.doi.org/10.1007/s43441-023-00528-y Text en © The Author(s) 2023 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 Ro, Sunhee K. Zhang, Weidong Jiang, Qi Li, Xiaoyun Nicole Liu, Rong Lu, Chengxing Cindy Marchenko, Olga Sun, Linda Zhao, Jing Statistical Considerations on the Use of RWD/RWE for Oncology Drug Approvals: Overview and Lessons Learned |
title | Statistical Considerations on the Use of RWD/RWE for Oncology Drug Approvals: Overview and Lessons Learned |
title_full | Statistical Considerations on the Use of RWD/RWE for Oncology Drug Approvals: Overview and Lessons Learned |
title_fullStr | Statistical Considerations on the Use of RWD/RWE for Oncology Drug Approvals: Overview and Lessons Learned |
title_full_unstemmed | Statistical Considerations on the Use of RWD/RWE for Oncology Drug Approvals: Overview and Lessons Learned |
title_short | Statistical Considerations on the Use of RWD/RWE for Oncology Drug Approvals: Overview and Lessons Learned |
title_sort | statistical considerations on the use of rwd/rwe for oncology drug approvals: overview and lessons learned |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276785/ https://www.ncbi.nlm.nih.gov/pubmed/37179264 http://dx.doi.org/10.1007/s43441-023-00528-y |
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