Trial Methodology and Data Analysis

The discussion highlights the importance of trial methodology and data analysis in assessing the trial's outcomes. Key points include the consideration of confidence intervals in interpreting results and the challenges posed when recommendations are based on point estimates with crossing confidence intervals. The debate focuses on mortality outcomes, reflecting a 13% reduction in 90-day mortality as the best estimate despite some uncertainty due to overlapping confidence intervals. The methodology also touches on post-randomization exclusions, powering of the study, and the potential impact of additional patient enrollment.