Figure 1.

Figure 1A. Conventional presentation of randomized clinical trial results focuses on average treatment effects, despite there being a potentially wide range of treatment responses among patients. The resulting estimate may not accurately describe the expected response for individual patients.

Figure 1B. Analysis of data that allows for the identification of subgroups of patients with the most to gain or lose from treatment can serve as the basis for new personalized decision tools.