ITP survival analysis:   enalapril

Intervention:   enalapril     medication for high blood pressure, diabetic kidney disease, heart failure
Trial code: Enal Dose: 120 ppm initiated at age: 4 mo Sex: both Cohort: C2005
Results are based on the use of pooled factor(s) that is/are stratified within the survival analysis model.

All test sites combined – female
Enal effect on survival, females, test site = All
Log-rank test chisq = 0.0157 p = 0.9001
Wang-Allison test odds ratio = 0.7329 p = 0.4868
Quantiles Enal Control % difference
25% died before day: 741 756 -2 %
Median lifespan (days) 868 886 -2 %
75% died before day: 1009 983 +3 %
90% died before day: 1098 1094 0 %
Max lifespan observed (days) 1232 1281
Number of mice at start 139 289
Animal censor events are denoted by + marks in the plot
All test sites combined – male
Enal effect on survival, males, test site = All
Log-rank test chisq = 1.5044 p = 0.22
Wang-Allison test odds ratio = 0.9942 p = 1.0
Quantiles Enal Control % difference
25% died before day: 708 597 +19 %
Median lifespan (days) 846 794 +7 %
75% died before day: 955 964 -1 %
90% died before day: 1091 1078 +1 %
Max lifespan observed (days) 1227 1303
Number of mice at start 170 357
Animal censor events are denoted by + marks in the plot


By individual test site:

TJL – female
TJL – female      
Enal effect on survival, females, test site = TJL
Log-rank test chisq = 0.438 p = 0.5081
Wang-Allison test odds ratio = 0.8726 p = 1.0
Quantiles Enal Control % difference
25% died before day: 696 748 -7 %
Median lifespan (days) 878 881 0 %
75% died before day: 1004 952 +5 %
90% died before day: 1070 1100 -3 %
Max lifespan observed (days) 1232 1229
Number of mice at start 43 95
Animal censor events are denoted by + marks in the plot
TJL – male
TJL – male      
Enal effect on survival, males, test site = TJL
Log-rank test chisq = 0.7574 p = 0.3841
Wang-Allison test odds ratio = 0.5601 p = 0.4349
Quantiles Enal Control % difference
25% died before day: 646 575 +12 %
Median lifespan (days) 797 802 -1 %
75% died before day: 885 937 -6 %
90% died before day: 994 1035 -4 %
Max lifespan observed (days) 1184 1220
Number of mice at start 57 126
Animal censor events are denoted by + marks in the plot
UM – female
UM – female      
Enal effect on survival, females, test site = UM
Log-rank test chisq = 0.9938 p = 0.3188
Wang-Allison test odds ratio = 1.0058 p = 1.0
Quantiles Enal Control % difference
25% died before day: 800 731 +9 %
Median lifespan (days) 948 878 +8 %
75% died before day: 1076 1016 +6 %
90% died before day: 1108 1094 +1 %
Max lifespan observed (days) 1215 1248
Number of mice at start 44 95
Animal censor events are denoted by + marks in the plot
UM – male
UM – male      
Enal effect on survival, males, test site = UM
Log-rank test chisq = 0.1638 p = 0.6857
Wang-Allison test odds ratio = 0.9473 p = 1.0
Quantiles Enal Control % difference
25% died before day: 801 676 +18 %
Median lifespan (days) 924 895 +3 %
75% died before day: 1059 1042 +2 %
90% died before day: 1141 1141 0 %
Max lifespan observed (days) 1227 1303
Number of mice at start 54 112
Animal censor events are denoted by + marks in the plot
UT – female
UT – female      
Enal effect on survival, females, test site = UT
Log-rank test chisq = 2.0586 p = 0.1513
Wang-Allison test odds ratio = 0.4552 p = 0.2666
Quantiles Enal Control % difference
25% died before day: 704 776 -9 %
Median lifespan (days) 837 896 -7 %
75% died before day: 958 984 -3 %
90% died before day: 1046 1089 -4 %
Max lifespan observed (days) 1224 1281
Number of mice at start 52 99
Animal censor events are denoted by + marks in the plot
UT – male
UT – male      
Enal effect on survival, males, test site = UT
Log-rank test chisq = 6.0464 p = 0.0139
Wang-Allison test odds ratio = 1.7044 p = 0.2993
Quantiles Enal Control % difference
25% died before day: 673 527 +28 %
Median lifespan (days) 849 722 +18 %
75% died before day: 952 865 +10 %
90% died before day: 1055 1020 +3 %
Max lifespan observed (days) 1226 1176
Number of mice at start 59 119
Animal censor events are denoted by + marks in the plot


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Statistical definitions