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ITP survival analysis:   resveratrol

Intervention:   resveratrol     dietary supplement
Trial code: Res_lo Dose: 300 ppm initiated at age: 12 mo Sex: both Cohort: C2006
Trial code: Res_hi Dose: 1200 ppm initiated at age: 12 mo Sex: both Cohort: C2006
Results are based on the use of pooled factor(s) that is/are stratified within the survival analysis model.

All test sites combined – female
Res_lo effect on survival, females, test site = All
Log-rank test chisq = 0.2135 p = 0.644
Wang-Allison test odds ratio = 1.2871 p = 0.4796
Quantiles Res_lo Control % difference
25% died before day: 769 772 0 %
Median lifespan (days) 906 882 +3 %
75% died before day: 990 968 +2 %
90% died before day: 1104 1077 +3 %
Max lifespan observed (days) 1284 1261
Number of mice at start 143 237
Animal censor events are denoted by + marks in the plot
Res_hi effect on survival, females, test site = All
Log-rank test chisq = 0.4947 p = 0.4818
Wang-Allison test odds ratio = 2.09 p = 0.0356
Quantiles Res_hi Control % difference
25% died before day: 776 772 +1 %
Median lifespan (days) 905 882 +3 %
75% died before day: 1004 968 +4 %
90% died before day: 1112 1077 +3 %
Max lifespan observed (days) 1246 1261
Number of mice at start 143 237
Animal censor events are denoted by + marks in the plot
All test sites combined – male
Res_lo effect on survival, males, test site = All
Log-rank test chisq = 0.0037 p = 0.9518
Wang-Allison test odds ratio = 1.3095 p = 0.4223
Quantiles Res_lo Control % difference
25% died before day: 692 650 +6 %
Median lifespan (days) 830 826 0 %
75% died before day: 954 949 +1 %
90% died before day: 1037 1060 -2 %
Max lifespan observed (days) 1235 1268
Number of mice at start 159 309
Animal censor events are denoted by + marks in the plot
Res_hi effect on survival, males, test site = All
Log-rank test chisq = 1.9964 p = 0.1577
Wang-Allison test odds ratio = 1.4744 p = 0.2484
Quantiles Res_hi Control % difference
25% died before day: 685 650 +5 %
Median lifespan (days) 882 826 +7 %
75% died before day: 990 949 +4 %
90% died before day: 1077 1060 +2 %
Max lifespan observed (days) 1294 1268
Number of mice at start 154 309
Animal censor events are denoted by + marks in the plot


By individual test site:

TJL – female
TJL – female      
Res_lo effect on survival, females, test site = TJL
Log-rank test chisq = 0.0028 p = 0.9578
Wang-Allison test odds ratio = 1.8495 p = 0.3503
Quantiles Res_lo Control % difference
25% died before day: 756 792 -5 %
Median lifespan (days) 925 888 +4 %
75% died before day: 990 972 +2 %
90% died before day: 1118 1077 +4 %
Max lifespan observed (days) 1284 1261
Number of mice at start 47 68
Animal censor events are denoted by + marks in the plot
Res_hi effect on survival, females, test site = TJL
Log-rank test chisq = 0.1616 p = 0.6877
Wang-Allison test odds ratio = 4.9302 p = 0.0264
Quantiles Res_hi Control % difference
25% died before day: 795 792 0 %
Median lifespan (days) 896 888 +1 %
75% died before day: 1022 972 +5 %
90% died before day: 1168 1077 +8 %
Max lifespan observed (days) 1242 1261
Number of mice at start 48 68
Animal censor events are denoted by + marks in the plot
TJL – male
TJL – male      
Res_lo effect on survival, males, test site = TJL
Log-rank test chisq = 0.3738 p = 0.5409
Wang-Allison test odds ratio = 1.7532 p = 0.2901
Quantiles Res_lo Control % difference
25% died before day: 574 633 -9 %
Median lifespan (days) 749 800 -6 %
75% died before day: 934 916 +2 %
90% died before day: 1013 1007 +1 %
Max lifespan observed (days) 1164 1197
Number of mice at start 58 96
Animal censor events are denoted by + marks in the plot
Res_hi effect on survival, males, test site = TJL
Log-rank test chisq = 0.8343 p = 0.361
Wang-Allison test odds ratio = 0.8783 p = 1.0
Quantiles Res_hi Control % difference
25% died before day: 615 633 -3 %
Median lifespan (days) 796 800 0 %
75% died before day: 895 916 -2 %
90% died before day: 980 1007 -3 %
Max lifespan observed (days) 1091 1197
Number of mice at start 54 96
Animal censor events are denoted by + marks in the plot
UM – female
UM – female      
Res_lo effect on survival, females, test site = UM
Log-rank test chisq = 0.4619 p = 0.4967
Wang-Allison test odds ratio = 1.0077 p = 1.0
Quantiles Res_lo Control % difference
25% died before day: 692 788 -12 %
Median lifespan (days) 862 891 -3 %
75% died before day: 973 990 -2 %
90% died before day: 1094 1069 +2 %
Max lifespan observed (days) 1166 1248
Number of mice at start 48 87
Animal censor events are denoted by + marks in the plot
Res_hi effect on survival, females, test site = UM
Log-rank test chisq = 1.9401 p = 0.1637
Wang-Allison test odds ratio = 2.6786 p = 0.0851
Quantiles Res_hi Control % difference
25% died before day: 772 788 -2 %
Median lifespan (days) 946 891 +6 %
75% died before day: 1032 990 +4 %
90% died before day: 1126 1069 +5 %
Max lifespan observed (days) 1246 1248
Number of mice at start 48 87
Animal censor events are denoted by + marks in the plot
UM – male
UM – male      
Res_lo effect on survival, males, test site = UM
Log-rank test chisq = 0.035 p = 0.8515
Wang-Allison test odds ratio = 1.3508 p = 0.5792
Quantiles Res_lo Control % difference
25% died before day: 757 701 +8 %
Median lifespan (days) 882 851 +4 %
75% died before day: 957 974 -2 %
90% died before day: 1082 1077 0 %
Max lifespan observed (days) 1206 1268
Number of mice at start 49 107
Animal censor events are denoted by + marks in the plot
Res_hi effect on survival, males, test site = UM
Log-rank test chisq = 1.1339 p = 0.2869
Wang-Allison test odds ratio = 2.132 p = 0.2362
Quantiles Res_hi Control % difference
25% died before day: 702 701 0 %
Median lifespan (days) 895 851 +5 %
75% died before day: 993 974 +2 %
90% died before day: 1138 1077 +6 %
Max lifespan observed (days) 1294 1268
Number of mice at start 48 107
Animal censor events are denoted by + marks in the plot
UT – female
UT – female      
Res_lo effect on survival, females, test site = UT
Log-rank test chisq = 2.195 p = 0.1385
Wang-Allison test odds ratio = 1.2108 p = 0.7623
Quantiles Res_lo Control % difference
25% died before day: 832 748 +11 %
Median lifespan (days) 926 843 +10 %
75% died before day: 1047 964 +9 %
90% died before day: 1110 1105 0 %
Max lifespan observed (days) 1199 1192
Number of mice at start 48 82
Animal censor events are denoted by + marks in the plot
Res_hi effect on survival, females, test site = UT
Log-rank test chisq = 0.4068 p = 0.5236
Wang-Allison test odds ratio = 0.7561 p = 0.7678
Quantiles Res_hi Control % difference
25% died before day: 775 748 +4 %
Median lifespan (days) 867 843 +3 %
75% died before day: 975 964 +1 %
90% died before day: 1031 1105 -7 %
Max lifespan observed (days) 1167 1192
Number of mice at start 47 82
Animal censor events are denoted by + marks in the plot
UT – male
UT – male      
Res_lo effect on survival, males, test site = UT
Log-rank test chisq = 0.4596 p = 0.4978
Wang-Allison test odds ratio = 0.9192 p = 1.0
Quantiles Res_lo Control % difference
25% died before day: 722 586 +23 %
Median lifespan (days) 850 813 +5 %
75% died before day: 958 935 +2 %
90% died before day: 1026 1053 -3 %
Max lifespan observed (days) 1235 1212
Number of mice at start 52 106
Animal censor events are denoted by + marks in the plot
Res_hi effect on survival, males, test site = UT
Log-rank test chisq = 4.8233 p = 0.0281
Wang-Allison test odds ratio = 1.6708 p = 0.4015
Quantiles Res_hi Control % difference
25% died before day: 732 586 +25 %
Median lifespan (days) 950 813 +17 %
75% died before day: 1054 935 +13 %
90% died before day: 1093 1053 +4 %
Max lifespan observed (days) 1201 1212
Number of mice at start 52 106
Animal censor events are denoted by + marks in the plot


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