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


See our ITP data portal page for more information on National Institute on Aging's Interventions Testing Program (ITP) including bibliography, data set downloads, and links to all available hosted data.

Statistical definitions