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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2015
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.
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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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