Abstract
Most participants selected for clinical trials of renoprotective drugs do not reach approved endpoints; thus, large trials or prolonged follow-up are needed to achieve adequate statistical power. Yamanouchi et al. used a classification and regression trees analysis to enrich enrollment criterion for patients at the highest risk of reaching these outcomes. Their findings suggest a greater role for newly identified biomarkers of diabetic kidney disease in the selection of participants for clinical trials.