The impact of non-drug-related toxicities on the estimation of the maximum tolerated dose in phase I trials. 2012

Alexia Iasonos, and Mrinal Gounder, and David R Spriggs, and John F Gerecitano, and David M Hyman, and Sarah Zohar, and John O'Quigley
Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA. iasonosa@mskcc.org

The rate of observed dose-limiting toxicities (DLT) determines the maximum tolerated dose (MTD) in phase I trials. There are cases in which non-drug-related toxicities or other-cause toxicities (OCT) are flagged as DLTs, or vice versa, due to attribution errors. We aim to assess the impact of such errors on the final estimate of MTD. We compared the impact of attribution errors using 2 trial designs-the "3+3" dose-escalation scheme and the continual reassessment method (CRM). Two attribution errors are considered: when a DLT is classified as an OCT (type A error) and when an OCT is misclassified as a DLT (type B error). The impact of these errors on accuracy, patient safety, sample size, and study duration was evaluated by varying the probability of occurrence of each error through simulated trials. Under no errors, CRM is on average 35% more accurate than 3+3 in finding the true MTD. This improved accuracy is maintained in the presence of errors. At a 15% type B error rate, CRM recommends a dose within 2 levels of the true MTD 68% of the time, compared with 17% of the time using the 3+3 method. A DLT must be attributed as an OCT 30% of the time to increase the accuracy of 3+3; otherwise the method recommends a wrong dose approximately 75% of the time. CRM is more robust to toxicity attribution errors compared with the 3+3 as it uses information from all treated patients, leading to a more accurate MTD estimation at the frequency of attribution errors anticipated in phase I clinical trials.

UI MeSH Term Description Entries
D003627 Data Interpretation, Statistical Application of statistical procedures to analyze specific observed or assumed facts from a particular study. Data Analysis, Statistical,Data Interpretations, Statistical,Interpretation, Statistical Data,Statistical Data Analysis,Statistical Data Interpretation,Analyses, Statistical Data,Analysis, Statistical Data,Data Analyses, Statistical,Interpretations, Statistical Data,Statistical Data Analyses,Statistical Data Interpretations
D004305 Dose-Response Relationship, Drug The relationship between the dose of an administered drug and the response of the organism to the drug. Dose Response Relationship, Drug,Dose-Response Relationships, Drug,Drug Dose-Response Relationship,Drug Dose-Response Relationships,Relationship, Drug Dose-Response,Relationships, Drug Dose-Response
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000465 Algorithms A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task. Algorithm
D015233 Models, Statistical Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc. Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model
D017321 Clinical Trials, Phase I as Topic Works about studies performed to evaluate the safety of diagnostic, therapeutic, or prophylactic drugs, devices, or techniques in healthy subjects and to determine the safe dosage range (if appropriate). These tests also are used to determine pharmacologic and pharmacokinetic properties (toxicity, metabolism, absorption, elimination, and preferred route of administration). They involve a small number of persons and usually last about 1 year. This concept includes phase I studies conducted both in the U.S. and in other countries. Clinical Trials, Phase I,Drug Evaluation, FDA Phase I,Evaluation Studies, FDA Phase I,Human Microdosing Trial,Phase 1 Clinical Trial,Phase I Clinical Trial,Phase I Clinical Trials,Clinical Trials, Phase 1,Drug Evaluation, FDA Phase 1,Drug Evaluation, FDA Phase I as Topic,Evaluation Studies, FDA Phase 1,Human Microdosing Trials,Microdosing Trials, Human,Phase 1 Clinical Trials,Microdosing Trial, Human,Trial, Human Microdosing,Trials, Human Microdosing
D018401 Sample Size The number of units (persons, animals, patients, specified circumstances, etc.) in a population to be studied. The sample size should be big enough to have a high likelihood of detecting a true difference between two groups. (From Wassertheil-Smoller, Biostatistics and Epidemiology, 1990, p95) Sample Sizes,Size, Sample,Sizes, Sample
D020714 Maximum Tolerated Dose The highest dose of a biologically active agent given during a chronic study that will not reduce longevity from effects other than carcinogenicity. (from Lewis Dictionary of Toxicology, 1st ed) Maximal Tolerated Dose,Maximally Tolerated Dose,Dose, Maximal Tolerated,Dose, Maximally Tolerated,Dose, Maximum Tolerated,Doses, Maximal Tolerated,Doses, Maximally Tolerated,Doses, Maximum Tolerated,Maximal Tolerated Doses,Maximally Tolerated Doses,Maximum Tolerated Doses,Tolerated Dose, Maximal,Tolerated Dose, Maximally,Tolerated Dose, Maximum,Tolerated Doses, Maximal,Tolerated Doses, Maximally,Tolerated Doses, Maximum
D064420 Drug-Related Side Effects and Adverse Reactions Disorders that result from the intended use of PHARMACEUTICAL PREPARATIONS. Included in this heading are a broad variety of chemically-induced adverse conditions due to toxicity, DRUG INTERACTIONS, and metabolic effects of pharmaceuticals. Drug-Related Side Effects and Adverse Reaction,Adverse Drug Event,Adverse Drug Reaction,Drug Side Effects,Drug Toxicity,Side Effects of Drugs,Toxicity, Drug,Adverse Drug Events,Adverse Drug Reactions,Drug Event, Adverse,Drug Events, Adverse,Drug Reaction, Adverse,Drug Reactions, Adverse,Drug Related Side Effects and Adverse Reaction,Drug Related Side Effects and Adverse Reactions,Drug Side Effect,Drug Toxicities,Effects, Drug Side,Reactions, Adverse Drug,Side Effect, Drug,Side Effects, Drug,Toxicities, Drug

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