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Predictors of early treatment discontinuation in patients enrolled on Phase I oncology trials
PURPOSE: Patients who do not complete one cycle of therapy on Phase I trials for reasons other than dose limiting toxicity (DLT) are considered inevaluable for toxicity and must be replaced. METHODS: Individual records from patients enrolled to NCI-sponsored Phase I trials activated between 2000 and...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4662493/ https://www.ncbi.nlm.nih.gov/pubmed/25682870 |
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author | Hyman, David M. Eaton, Anne A. Gounder, Mrinal M. Pamer, Erika G. Pettiford, Jasmine Carvajal, Richard D. Ivy, S. Percy Iasonos, Alexia Spriggs, David R. |
author_facet | Hyman, David M. Eaton, Anne A. Gounder, Mrinal M. Pamer, Erika G. Pettiford, Jasmine Carvajal, Richard D. Ivy, S. Percy Iasonos, Alexia Spriggs, David R. |
author_sort | Hyman, David M. |
collection | PubMed |
description | PURPOSE: Patients who do not complete one cycle of therapy on Phase I trials for reasons other than dose limiting toxicity (DLT) are considered inevaluable for toxicity and must be replaced. METHODS: Individual records from patients enrolled to NCI-sponsored Phase I trials activated between 2000 and 2010 were used. Early discontinuation was defined as the failure to begin cycle 2 for reasons other than a DLT during cycle 1. A multinomial logistic regression with a 3-level nominal outcome (early discontinuation, DLT during cycle 1, and continuation to cycle 2) was used with continuation to cycle 2 serving as the reference category. The final model was used to create two risk scores. An independent external cohort was used to validate these models. RESULTS: Data from 3079 patients on 127 Phase I trials were analyzed. ECOG performance status (1, ≥ 2, two-sided P = .0315 and P = .0007), creatinine clearance (<60 ml/min, P = .0455), alkaline phosphatase (>2.5xULN, P = .0026), AST (>ULN, P = .0076), hemoglobin (<10 g/dL, P < .0001), albumin (< 3.5 g/dL, P < .0001), and platelets (<400x109/L, P = .0732) were predictors of early discontinuation. The c-index of the final model was 0.63. CONCLUSION: Knowledge of risk factors for early treatment discontinuation in conjunction with clinical judgment can help guide Phase I patient selection. |
format | Online Article Text |
id | pubmed-4662493 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-46624932015-12-02 Predictors of early treatment discontinuation in patients enrolled on Phase I oncology trials Hyman, David M. Eaton, Anne A. Gounder, Mrinal M. Pamer, Erika G. Pettiford, Jasmine Carvajal, Richard D. Ivy, S. Percy Iasonos, Alexia Spriggs, David R. Oncotarget Clinical Research Paper PURPOSE: Patients who do not complete one cycle of therapy on Phase I trials for reasons other than dose limiting toxicity (DLT) are considered inevaluable for toxicity and must be replaced. METHODS: Individual records from patients enrolled to NCI-sponsored Phase I trials activated between 2000 and 2010 were used. Early discontinuation was defined as the failure to begin cycle 2 for reasons other than a DLT during cycle 1. A multinomial logistic regression with a 3-level nominal outcome (early discontinuation, DLT during cycle 1, and continuation to cycle 2) was used with continuation to cycle 2 serving as the reference category. The final model was used to create two risk scores. An independent external cohort was used to validate these models. RESULTS: Data from 3079 patients on 127 Phase I trials were analyzed. ECOG performance status (1, ≥ 2, two-sided P = .0315 and P = .0007), creatinine clearance (<60 ml/min, P = .0455), alkaline phosphatase (>2.5xULN, P = .0026), AST (>ULN, P = .0076), hemoglobin (<10 g/dL, P < .0001), albumin (< 3.5 g/dL, P < .0001), and platelets (<400x109/L, P = .0732) were predictors of early discontinuation. The c-index of the final model was 0.63. CONCLUSION: Knowledge of risk factors for early treatment discontinuation in conjunction with clinical judgment can help guide Phase I patient selection. Impact Journals LLC 2015-02-17 /pmc/articles/PMC4662493/ /pubmed/25682870 Text en Copyright: © 2015 Hyman et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Clinical Research Paper Hyman, David M. Eaton, Anne A. Gounder, Mrinal M. Pamer, Erika G. Pettiford, Jasmine Carvajal, Richard D. Ivy, S. Percy Iasonos, Alexia Spriggs, David R. Predictors of early treatment discontinuation in patients enrolled on Phase I oncology trials |
title | Predictors of early treatment discontinuation in patients enrolled on Phase I oncology trials |
title_full | Predictors of early treatment discontinuation in patients enrolled on Phase I oncology trials |
title_fullStr | Predictors of early treatment discontinuation in patients enrolled on Phase I oncology trials |
title_full_unstemmed | Predictors of early treatment discontinuation in patients enrolled on Phase I oncology trials |
title_short | Predictors of early treatment discontinuation in patients enrolled on Phase I oncology trials |
title_sort | predictors of early treatment discontinuation in patients enrolled on phase i oncology trials |
topic | Clinical Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4662493/ https://www.ncbi.nlm.nih.gov/pubmed/25682870 |
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