Highlights
The overwhelming majority of dose-escalation clinical trials use methods that seek a maximum tolerable dose, including rule-based methods like the 3+3, and model-based methods like continual reassessment method (CRM) and escalation with overdose control (EWOC)
We see that the phenomena we have described are broadly observed across most disease types
The observation remained that dose-limiting toxicity (DLT) curves commonly increased with dose whilst objective response (OR) curves were mostly invariant in dose
Summary
We sought to identify a broad sample of manuscripts reporting recent dose-finding clinical trials in oncology. Concerning outcomes, we extracted the dose-levels administered, the number of patients evaluated at each, and the number of DLT and objective response events recorded at each. These outcomes are explained and justified . The relative strength of the Emax model is that it allows the event probability to plateau at a value less than 1 It contains as a special case the scenario reflected by logit models where the event probability tends to 1 as dose is increased. We used both maximum likelihood and Bayesian approaches to fit Emax models. Data processing was aided using tidyverse [148] packages, posterior samples were extracted using tidybayes [149], and plots were produced using ggplot2 [150]
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