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Looking ahead in early-phase trial design to improve the drug development process: examples in oncology
BACKGROUND: Clinical trial design must consider the specific resource constraints and overall goals of the drug development process (DDP); for example, in designing a phase I trial to evaluate the safety of a drug and recommend a dose for a subsequent phase II trial. Here, we focus on design conside...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308797/ https://www.ncbi.nlm.nih.gov/pubmed/37386450 http://dx.doi.org/10.1186/s12874-023-01979-5 |
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author | Vanderbeek, Alyssa M. Redd, Robert A. Ventz, Steffen Trippa, Lorenzo |
author_facet | Vanderbeek, Alyssa M. Redd, Robert A. Ventz, Steffen Trippa, Lorenzo |
author_sort | Vanderbeek, Alyssa M. |
collection | PubMed |
description | BACKGROUND: Clinical trial design must consider the specific resource constraints and overall goals of the drug development process (DDP); for example, in designing a phase I trial to evaluate the safety of a drug and recommend a dose for a subsequent phase II trial. Here, we focus on design considerations that involve the sequence of clinical trials, from early phase I to late phase III, that constitute the DDP. METHODS: We discuss how stylized simulation models of clinical trials in an oncology DDP can quantify important relationships between early-phase trial designs and their consequences for the remaining phases of development. Simulations for three illustrative settings are presented, using stylized models of the DDP that mimic trial designs and decisions, such as the potential discontinuation of the DDP. RESULTS: We describe: (1) the relationship between a phase II single-arm trial sample size and the likelihood of a positive result in a subsequent phase III confirmatory trial; (2) the impact of a phase I dose-finding design on the likelihood that the DDP will produce evidence of a safe and effective therapy; and (3) the impact of a phase II enrichment trial design on the operating characteristics of a subsequent phase III confirmatory trial. CONCLUSIONS: Stylized models of the DDP can support key decisions, such as the sample size, in the design of early-phase trials. Simulation models can be used to estimate performance metrics of the DDP under realistic scenarios; for example, the duration and the total number of patients enrolled. These estimates complement the evaluation of the operating characteristics of early-phase trial design, such as power or accuracy in selecting safe and effective dose levels. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-023-01979-5. |
format | Online Article Text |
id | pubmed-10308797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103087972023-06-30 Looking ahead in early-phase trial design to improve the drug development process: examples in oncology Vanderbeek, Alyssa M. Redd, Robert A. Ventz, Steffen Trippa, Lorenzo BMC Med Res Methodol Research BACKGROUND: Clinical trial design must consider the specific resource constraints and overall goals of the drug development process (DDP); for example, in designing a phase I trial to evaluate the safety of a drug and recommend a dose for a subsequent phase II trial. Here, we focus on design considerations that involve the sequence of clinical trials, from early phase I to late phase III, that constitute the DDP. METHODS: We discuss how stylized simulation models of clinical trials in an oncology DDP can quantify important relationships between early-phase trial designs and their consequences for the remaining phases of development. Simulations for three illustrative settings are presented, using stylized models of the DDP that mimic trial designs and decisions, such as the potential discontinuation of the DDP. RESULTS: We describe: (1) the relationship between a phase II single-arm trial sample size and the likelihood of a positive result in a subsequent phase III confirmatory trial; (2) the impact of a phase I dose-finding design on the likelihood that the DDP will produce evidence of a safe and effective therapy; and (3) the impact of a phase II enrichment trial design on the operating characteristics of a subsequent phase III confirmatory trial. CONCLUSIONS: Stylized models of the DDP can support key decisions, such as the sample size, in the design of early-phase trials. Simulation models can be used to estimate performance metrics of the DDP under realistic scenarios; for example, the duration and the total number of patients enrolled. These estimates complement the evaluation of the operating characteristics of early-phase trial design, such as power or accuracy in selecting safe and effective dose levels. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-023-01979-5. BioMed Central 2023-06-29 /pmc/articles/PMC10308797/ /pubmed/37386450 http://dx.doi.org/10.1186/s12874-023-01979-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Vanderbeek, Alyssa M. Redd, Robert A. Ventz, Steffen Trippa, Lorenzo Looking ahead in early-phase trial design to improve the drug development process: examples in oncology |
title | Looking ahead in early-phase trial design to improve the drug development process: examples in oncology |
title_full | Looking ahead in early-phase trial design to improve the drug development process: examples in oncology |
title_fullStr | Looking ahead in early-phase trial design to improve the drug development process: examples in oncology |
title_full_unstemmed | Looking ahead in early-phase trial design to improve the drug development process: examples in oncology |
title_short | Looking ahead in early-phase trial design to improve the drug development process: examples in oncology |
title_sort | looking ahead in early-phase trial design to improve the drug development process: examples in oncology |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308797/ https://www.ncbi.nlm.nih.gov/pubmed/37386450 http://dx.doi.org/10.1186/s12874-023-01979-5 |
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