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Dose-finding designs for cumulative toxicities using multiple constraints
This article addresses the concern regarding late-onset dose-limiting toxicities (DLT), moderate toxicities below the threshold of a DLT and cumulative toxicities that may lead to a DLT, which are mostly disregarded or handled in an ad hoc manner when determining the maximum tolerated dose (MTD) in...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6296314/ https://www.ncbi.nlm.nih.gov/pubmed/29140414 http://dx.doi.org/10.1093/biostatistics/kxx059 |
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author | Lee, Shing M Ursino, Moreno Cheung, Ying Kuen Zohar, Sarah |
author_facet | Lee, Shing M Ursino, Moreno Cheung, Ying Kuen Zohar, Sarah |
author_sort | Lee, Shing M |
collection | PubMed |
description | This article addresses the concern regarding late-onset dose-limiting toxicities (DLT), moderate toxicities below the threshold of a DLT and cumulative toxicities that may lead to a DLT, which are mostly disregarded or handled in an ad hoc manner when determining the maximum tolerated dose (MTD) in dose-finding cancer clinical trials. An extension of the Time-to-Event Continual Reassessment Method (TITE-CRM) which allows for the specification of toxicity constraints on both DLT and moderate toxicities, and can account for partial information is proposed. The method is illustrated in the context of an Erlotinib dose-finding trial with low DLT rates, but a significant number of moderate toxicities leading to treatment discontinuation in later cycles. Based on simulations, our method performs well at selecting the dose level that satisfies both the DLT and moderate-toxicity constraints. Moreover, it has similar probability of correct selection compared to the TITE-CRM when the true MTD based on DLT only and the true MTD based on grade 2 or higher toxicities alone coincide, but reduces the probability of recommending a dose above the MTD. |
format | Online Article Text |
id | pubmed-6296314 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62963142018-12-21 Dose-finding designs for cumulative toxicities using multiple constraints Lee, Shing M Ursino, Moreno Cheung, Ying Kuen Zohar, Sarah Biostatistics Articles This article addresses the concern regarding late-onset dose-limiting toxicities (DLT), moderate toxicities below the threshold of a DLT and cumulative toxicities that may lead to a DLT, which are mostly disregarded or handled in an ad hoc manner when determining the maximum tolerated dose (MTD) in dose-finding cancer clinical trials. An extension of the Time-to-Event Continual Reassessment Method (TITE-CRM) which allows for the specification of toxicity constraints on both DLT and moderate toxicities, and can account for partial information is proposed. The method is illustrated in the context of an Erlotinib dose-finding trial with low DLT rates, but a significant number of moderate toxicities leading to treatment discontinuation in later cycles. Based on simulations, our method performs well at selecting the dose level that satisfies both the DLT and moderate-toxicity constraints. Moreover, it has similar probability of correct selection compared to the TITE-CRM when the true MTD based on DLT only and the true MTD based on grade 2 or higher toxicities alone coincide, but reduces the probability of recommending a dose above the MTD. Oxford University Press 2019-01 2017-11-13 /pmc/articles/PMC6296314/ /pubmed/29140414 http://dx.doi.org/10.1093/biostatistics/kxx059 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Lee, Shing M Ursino, Moreno Cheung, Ying Kuen Zohar, Sarah Dose-finding designs for cumulative toxicities using multiple constraints |
title | Dose-finding designs for cumulative toxicities using multiple constraints |
title_full | Dose-finding designs for cumulative toxicities using multiple constraints |
title_fullStr | Dose-finding designs for cumulative toxicities using multiple constraints |
title_full_unstemmed | Dose-finding designs for cumulative toxicities using multiple constraints |
title_short | Dose-finding designs for cumulative toxicities using multiple constraints |
title_sort | dose-finding designs for cumulative toxicities using multiple constraints |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6296314/ https://www.ncbi.nlm.nih.gov/pubmed/29140414 http://dx.doi.org/10.1093/biostatistics/kxx059 |
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