Figure 3.
Variables associated with CR and treatment interruption. Predicted outcomes in patients on first-line therapy were accessed by a multistate model. (A) Kaplan-Meier curves representing 4 states and their transitions: treatment interruption because of resistance (red), interruption for other reasons (orange), patients in complete response (green), and patients on first-line therapy who did not reach any of the previous 3 states (blue). (B) Multistate model analysis with proportional Cox model results for each transition. Significant factors associated with state transition are indicated, with risk factors in red and protective factors in green. Treatment discontinuations due to resistance or other reasons were merged in the analysis. HRs are presented with their 95% confidence intervals. For each transition, the following factors were tested: age >60 years, driver mutation, ≥1 additional mutation, treatment type, previous thrombosis, and leukocyte counts, followed by a backward stepwise selection.

Variables associated with CR and treatment interruption. Predicted outcomes in patients on first-line therapy were accessed by a multistate model. (A) Kaplan-Meier curves representing 4 states and their transitions: treatment interruption because of resistance (red), interruption for other reasons (orange), patients in complete response (green), and patients on first-line therapy who did not reach any of the previous 3 states (blue). (B) Multistate model analysis with proportional Cox model results for each transition. Significant factors associated with state transition are indicated, with risk factors in red and protective factors in green. Treatment discontinuations due to resistance or other reasons were merged in the analysis. HRs are presented with their 95% confidence intervals. For each transition, the following factors were tested: age >60 years, driver mutation, ≥1 additional mutation, treatment type, previous thrombosis, and leukocyte counts, followed by a backward stepwise selection.

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