Incorporating lower grade toxicity information into dose finding designs
Autor: | John O'Quigley, Sarah Zohar, Alexia Iasonos |
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Rok vydání: | 2011 |
Předmět: |
Pharmacology
Research design Oncology medicine.medical_specialty Lower grade Clinical Trials Phase I as Topic Dose-Response Relationship Drug Drug-Related Side Effects and Adverse Reactions Maximum Tolerated Dose business.industry General Medicine Article Toxicology Dose finding Text mining Research Design Internal medicine Maximum tolerated dose Toxicity Tests Toxicity medicine Humans Computer Simulation business |
Zdroj: | Clinical Trials. 8:370-379 |
ISSN: | 1740-7753 1740-7745 |
Popis: | Background Toxicity grades underlie the definition of a dose-limiting toxicity but in the majority of phase I designs, the information contained in the individual grades is not used. Some authors have argued that it may be more appropriate to consider a polytomous rather than dichotomous response. Purpose We investigate whether the added information on individual grades can improve the operating characteristics of the continual reassessment method. Methods We compare the original continual reassessment method design for a binary response with two stage continual reassessment method designs which make different use of lower grade toxicity information via simulations. Specifically, we study a two-stage design that utilizes lower grade toxicities in the first stage only, during the initial non-model-based escalation, and two-stage designs where lower grades are used throughout the trial via explicit models. We postulate a model relating the rates of lower grade toxicities to the rate of dose-limiting toxicity, or assume the relative rates of low-to-high grade toxicities is unknown. The designs were compared in terms of accuracy, patient allocation, and precision. Results Significant gains can be achieved when using grades in the first stage of a two-stage design. Otherwise, only modest improvements are seen when the information on grades is exploited via the use of explicit models, where the parameters are known precisely. Continual reassessment method with some use of grade information, increases the number of patients treated at the maximum tolerated dose by approximately 5%. The additional information from lower grades can lead to a small increase in the precision of our estimate of the maximum tolerated dose. Limitations Our comparisons are not exhaustive and it would be worth studying other models and situations. Conclusions Although the gains in performance were not as great as we had hoped, we observed no cases where the performance of continual reassessment method was poorer. Our recommendation is that investigators might consider using graded toxicities at the design stage. |
Databáze: | OpenAIRE |
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