Br J Clin Pharmacol. 2023 Jul 10. doi: 10.1111/bcp.15843. Online ahead of print.
ABSTRACT
Big data in drug development may not satisfactorily address the demands of precision medicine in a rare disease population, making the use of smaller clinical trials necessary. Consequently, the use of innovative design and analysis of these clinical trials using model-informed approaches have become indispensable. This requires informative exposure-outcome analysis, together with formal statistical analysis, which should include the strength of evidence for a study outcome. We demonstrate how knowledge can be gained, with supporting strength of evidence, from a small (data) clinical trial with a low dose of blarcamesine in the treatment of Rett syndrome (RTT). Based on a small data paradigm, pharmacometrics item response theory modeling and Bayes factor analysis were used to show that blarcamesine is efficacious in RTT.
PMID:37429704 | DOI:10.1111/bcp.15843
