  The delayed and incomplete availability of historical findings and the lack
of integrative and user-friendly software hampers the reliable interpretation
of new clinical data. We developed a free, open, and user-friendly clinical
trial aggregation program combining a large and representative sample of
existing trial data with the latest classical and Bayesian meta-analytical
models, including clear output visualizations. Our software is of particular
interest for (post-graduate) educational programs (e.g., medicine,
epidemiology) and global health initiatives. We demonstrate the database,
interface, and plot functionality with a recent randomized controlled trial on
effective epileptic seizure reduction in children treated for a parasitic brain
infection. The single trial data is placed into context and we show how to
interpret new results against existing knowledge instantaneously. Our program
is of particular interest to those working on the contextualizing of medical
findings. It may facilitate the advancement of global clinical progress as
efficiently and openly as possible and simulate further bridging clinical data
with the latest biostatistical models.
