Cardiac toxicity
Andrea Francavilla
2022-04-11
Kaplan-Meier con overall survival stratificata per tossicità cardiaca
## Call: survfit(formula = Surv(time, status) ~ cardiac_toxicity, data = cardiac_clean)
##
## 16 observations deleted due to missingness
## cardiac_toxicity=0
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 0 85 2 0.976 0.0164 0.945 1.000
## 2 80 1 0.964 0.0203 0.925 1.000
## 3 76 2 0.939 0.0265 0.888 0.992
## 7 65 5 0.867 0.0395 0.793 0.948
## 9 59 2 0.837 0.0433 0.757 0.927
## 10 53 1 0.821 0.0453 0.737 0.915
## 11 52 1 0.806 0.0471 0.719 0.903
## 14 44 2 0.769 0.0516 0.674 0.877
## 17 39 2 0.730 0.0560 0.628 0.848
## 19 32 1 0.707 0.0587 0.601 0.832
## 23 21 1 0.673 0.0648 0.557 0.813
##
## cardiac_toxicity=1
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 6 13 1 0.923 0.0739 0.789 1.000
## 7 11 1 0.839 0.1045 0.657 1.000
## 9 10 1 0.755 0.1232 0.549 1.000
## 14 8 1 0.661 0.1394 0.437 0.999
## 17 6 1 0.551 0.1536 0.319 0.951
## 19 4 1 0.413 0.1658 0.188 0.907
Kaplan-Meier con sopravvivenza a 12 mesi stratificata per tossicità cardiaca
## Call: survfit(formula = Surv(time2, status2) ~ cardiac_toxicity, data = cardiac_clean)
##
## 16 observations deleted due to missingness
## cardiac_toxicity=0
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 0 85 2 0.976 0.0164 0.945 1.000
## 2 80 1 0.964 0.0203 0.925 1.000
## 3 76 2 0.939 0.0265 0.888 0.992
## 7 65 5 0.867 0.0395 0.793 0.948
## 9 59 2 0.837 0.0433 0.757 0.927
## 10 53 1 0.821 0.0453 0.737 0.915
## 11 52 1 0.806 0.0471 0.719 0.903
##
## cardiac_toxicity=1
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 6 13 1 0.923 0.0739 0.789 1
## 7 11 1 0.839 0.1045 0.657 1
## 9 10 1 0.755 0.1232 0.549 1
Kaplan-Meier con overall survival stratificata per malattia cardiaca pre-esistente
## Call: survfit(formula = Surv(time, status) ~ pre_existing_cardiac_disease,
## data = cardiac_clean)
##
## 15 observations deleted due to missingness
## pre_existing_cardiac_disease=0
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 0 72 2 0.972 0.0194 0.935 1.000
## 3 64 2 0.942 0.0283 0.888 0.999
## 7 54 3 0.890 0.0397 0.815 0.971
## 9 51 2 0.855 0.0451 0.771 0.948
## 11 48 1 0.837 0.0476 0.749 0.935
## 14 40 3 0.774 0.0561 0.671 0.892
## 17 34 1 0.751 0.0589 0.644 0.876
## 23 17 1 0.707 0.0701 0.582 0.859
##
## pre_existing_cardiac_disease=1
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 2 27 1 0.963 0.0363 0.894 1.000
## 6 25 1 0.924 0.0514 0.829 1.000
## 7 22 3 0.798 0.0809 0.655 0.974
## 9 18 1 0.754 0.0877 0.600 0.947
## 10 14 1 0.700 0.0966 0.534 0.918
## 17 11 2 0.573 0.1135 0.389 0.845
## 19 7 2 0.409 0.1270 0.223 0.752
## Call: survfit(formula = Surv(time2, status2) ~ pre_existing_cardiac_disease,
## data = cardiac_clean)
##
## 15 observations deleted due to missingness
## pre_existing_cardiac_disease=0
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 0 72 2 0.972 0.0194 0.935 1.000
## 3 64 2 0.942 0.0283 0.888 0.999
## 7 54 3 0.890 0.0397 0.815 0.971
## 9 51 2 0.855 0.0451 0.771 0.948
## 11 48 1 0.837 0.0476 0.749 0.935
##
## pre_existing_cardiac_disease=1
## time n.risk n.event survival std.err lower 95% CI upper 95% CI
## 2 27 1 0.963 0.0363 0.894 1.000
## 6 25 1 0.924 0.0514 0.829 1.000
## 7 22 3 0.798 0.0809 0.655 0.974
## 9 18 1 0.754 0.0877 0.600 0.947
## 10 14 1 0.700 0.0966 0.534 0.918Kaplan-Meier con sopravvivenza a 12 mesi stratificata per
malattia cardiaca pre-esistente
