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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.
Afiliación
  • Hyman DM; Developmental Therapeutics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Eaton AA; Weill Cornell Medical College, New York, NY 10065, USA.
  • Gounder MM; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Pamer EG; Developmental Therapeutics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Pettiford J; Weill Cornell Medical College, New York, NY 10065, USA.
  • Carvajal RD; Developmental Therapeutics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Ivy SP; Developmental Therapeutics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Iasonos A; Developmental Therapeutics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Spriggs DR; Weill Cornell Medical College, New York, NY 10065, USA.
Oncotarget ; 6(22): 19316-27, 2015 Aug 07.
Article en En | MEDLINE | ID: mdl-25682870
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 cycl1e 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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ensayos Clínicos Fase I como Asunto Tipo de estudio: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Oncotarget Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ensayos Clínicos Fase I como Asunto Tipo de estudio: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Oncotarget Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos
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