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Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology
In early phase clinical trials of cytotoxic drugs in oncology, the efficacy is typically evaluated based on the tumor shrinkage. However, this criterion is not always appropriate for more recent cytostatic agents, and alternative endpoints have been proposed. The growth modulation index (GMI), defin...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5820554/ https://www.ncbi.nlm.nih.gov/pubmed/29568321 http://dx.doi.org/10.1155/2018/1672176 |
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author | Texier, Matthieu Rotolo, Federico Ducreux, Michel Bouché, Olivier Pignon, Jean-Pierre Michiels, Stefan |
author_facet | Texier, Matthieu Rotolo, Federico Ducreux, Michel Bouché, Olivier Pignon, Jean-Pierre Michiels, Stefan |
author_sort | Texier, Matthieu |
collection | PubMed |
description | In early phase clinical trials of cytotoxic drugs in oncology, the efficacy is typically evaluated based on the tumor shrinkage. However, this criterion is not always appropriate for more recent cytostatic agents, and alternative endpoints have been proposed. The growth modulation index (GMI), defined as the ratio between the times to progression in two successive treatment lines, has been proposed for a single-arm phase II trials. The treatment effect is evaluated by estimating the rate of patients having a GMI superior to a given threshold. To estimate this rate, we investigated a parametric method based on the distribution of the times to progression and a nonparametric one based on a midrank estimator. Through simulations, we studied their operating characteristics and the impact of different design parameters (censoring, dependence, and distribution) on them. In these simulations, the nonparametric estimator slightly underestimated the rate and had slightly overconservative confidence intervals in some cases. Conversely, the parametric estimator overestimated the rate and had anticonservative confidence intervals in some cases. The nonparametric method appeared to be more robust to censoring than the parametric one. In conclusion, we recommend the nonparametric method, but the parametric method can be used as a supplementary tool. |
format | Online Article Text |
id | pubmed-5820554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-58205542018-03-22 Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology Texier, Matthieu Rotolo, Federico Ducreux, Michel Bouché, Olivier Pignon, Jean-Pierre Michiels, Stefan Comput Math Methods Med Research Article In early phase clinical trials of cytotoxic drugs in oncology, the efficacy is typically evaluated based on the tumor shrinkage. However, this criterion is not always appropriate for more recent cytostatic agents, and alternative endpoints have been proposed. The growth modulation index (GMI), defined as the ratio between the times to progression in two successive treatment lines, has been proposed for a single-arm phase II trials. The treatment effect is evaluated by estimating the rate of patients having a GMI superior to a given threshold. To estimate this rate, we investigated a parametric method based on the distribution of the times to progression and a nonparametric one based on a midrank estimator. Through simulations, we studied their operating characteristics and the impact of different design parameters (censoring, dependence, and distribution) on them. In these simulations, the nonparametric estimator slightly underestimated the rate and had slightly overconservative confidence intervals in some cases. Conversely, the parametric estimator overestimated the rate and had anticonservative confidence intervals in some cases. The nonparametric method appeared to be more robust to censoring than the parametric one. In conclusion, we recommend the nonparametric method, but the parametric method can be used as a supplementary tool. Hindawi 2018-01-11 /pmc/articles/PMC5820554/ /pubmed/29568321 http://dx.doi.org/10.1155/2018/1672176 Text en Copyright © 2018 Matthieu Texier et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Texier, Matthieu Rotolo, Federico Ducreux, Michel Bouché, Olivier Pignon, Jean-Pierre Michiels, Stefan Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology |
title | Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology |
title_full | Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology |
title_fullStr | Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology |
title_full_unstemmed | Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology |
title_short | Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology |
title_sort | evaluation of treatment effect with paired failure times in a single-arm phase ii trial in oncology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5820554/ https://www.ncbi.nlm.nih.gov/pubmed/29568321 http://dx.doi.org/10.1155/2018/1672176 |
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