ITP survival analysis:   PB125

Intervention:   PB125     formulation of rosemary extract, ashwagandha extract, luteolin
Trial code: PB125 Dose: see publication initiated at age: 5 mo Sex: both Cohort: C2017
Results are based on the use of pooled factor(s) that is/are stratified within the survival analysis model.

All test sites combined – female
PB125 effect on survival, females, test site = All
Log-rank test chisq = 1.9898 p = 0.1584
Wang-Allison test odds ratio = 1.4401 p = 0.2908
Quantiles PB125 Control % difference
25% died before day: 725 767 -5 %
Median lifespan (days) 874 868 +1 %
75% died before day: 1016 958 +6 %
90% died before day: 1094 1060 +3 %
Max lifespan observed (days) 1256 1221
Number of mice at start 128 276
Animal censor events are denoted by + marks in the plot
All test sites combined – male
PB125 effect on survival, males, test site = All
Log-rank test chisq = 0.2239 p = 0.6361
Wang-Allison test odds ratio = 1.4219 p = 0.3126
Quantiles PB125 Control % difference
25% died before day: 494 447 +11 %
Median lifespan (days) 698 718 -3 %
75% died before day: 876 919 -5 %
90% died before day: 1053 1029 +2 %
Max lifespan observed (days) 1230 1258
Number of mice at start 144 285
Animal censor events are denoted by + marks in the plot


By individual test site:

TJL – female
TJL – female      
PB125 effect on survival, females, test site = TJL
Log-rank test chisq = 0.917 p = 0.3383
Wang-Allison test odds ratio = 1.3778 p = 0.5725
Quantiles PB125 Control % difference
25% died before day: 710 760 -7 %
Median lifespan (days) 895 870 +3 %
75% died before day: 1018 968 +5 %
90% died before day: 1097 1068 +3 %
Max lifespan observed (days) 1256 1209
Number of mice at start 48 96
Animal censor events are denoted by + marks in the plot
TJL – male
TJL – male      
PB125 effect on survival, males, test site = TJL
Log-rank test chisq = 0.6566 p = 0.4178
Wang-Allison test odds ratio = 0.6401 p = 0.5807
Quantiles PB125 Control % difference
25% died before day: 435 488 -11 %
Median lifespan (days) 609 748 -19 %
75% died before day: 835 949 -12 %
90% died before day: 1053 1079 -2 %
Max lifespan observed (days) 1185 1226
Number of mice at start 51 102
Animal censor events are denoted by + marks in the plot
UM – female
UM – female      
PB125 effect on survival, females, test site = UM
Log-rank test chisq = 1.2591 p = 0.2618
Wang-Allison test odds ratio = 0.3482 p = 0.2203
Quantiles PB125 Control % difference
25% died before day: 732 820 -11 %
Median lifespan (days) 885 902 -2 %
75% died before day: 1012 1000 +1 %
90% died before day: 1056 1098 -4 %
Max lifespan observed (days) 1131 1221
Number of mice at start 44 90
Animal censor events are denoted by + marks in the plot
UM – male
UM – male      
PB125 effect on survival, males, test site = UM
Log-rank test chisq = 0.0 p = 0.9947
Wang-Allison test odds ratio = 1.9181 p = 0.3484
Quantiles PB125 Control % difference
25% died before day: 575 468 +23 %
Median lifespan (days) 731 790 -7 %
75% died before day: 928 933 -1 %
90% died before day: 1053 1019 +3 %
Max lifespan observed (days) 1161 1233
Number of mice at start 42 88
Animal censor events are denoted by + marks in the plot
UT – female
UT – female      
PB125 effect on survival, females, test site = UT
Log-rank test chisq = 6.5175 p = 0.0107
Wang-Allison test odds ratio = 4.7842 p = 0.0094
Quantiles PB125 Control % difference
25% died before day: 722 696 +4 %
Median lifespan (days) 868 824 +5 %
75% died before day: 1032 937 +10 %
90% died before day: 1124 993 +13 %
Max lifespan observed (days) 1245 1198
Number of mice at start 36 90
Animal censor events are denoted by + marks in the plot
UT – male
UT – male      
PB125 effect on survival, males, test site = UT
Log-rank test chisq = 2.4336 p = 0.1188
Wang-Allison test odds ratio = 2.3242 p = 0.1527
Quantiles PB125 Control % difference
25% died before day: 535 400 +34 %
Median lifespan (days) 735 676 +9 %
75% died before day: 873 825 +6 %
90% died before day: 1053 963 +9 %
Max lifespan observed (days) 1230 1258
Number of mice at start 51 95
Animal censor events are denoted by + marks in the plot


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Statistical definitions