Fig. 2: End-of-life outcomes.
From: Trajectories of mortality risk among patients with cancer and associated end-of-life utilization
Logistic regression where the predictors are baseline patient characteristics plus mortality risk trajectories (Predictable vs. Unpredictable), and the outcome is each of the end-of-life (EOL) metric. An odds ratio >1 indicates that patients assigned to the “Predictable” trajectory are more likely to have the corresponding EOL care compared to those assigned to the “Unpredictable” trajectory.
