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Table 5 Cross-validation of prediction models a

From: The use of the Gail model, body mass index and SNPs to predict breast cancer among women with abnormal (BI-RADS 4) mammograms

  Total study population ( N= 464)   Tenfold cross-validation  
AUC 95% CI P -value b AUC 95% CI P -value b
Age, log Gail RR 0.6646 0.5970 to 0.7321 0.839 0.6482 0.5797 to 0.7167 0.159
Age, BMI 0.6845 0.6188 to 0.7501 0.210 0.6583 0.5911 to 0.7255 0.764
Age, log SNP RR 0.6848 0.6195 to 0.7501 0.197 0.6735 0.6077 to 0.7393 0.188
Age, BMI, log SNP RR 0.7007 0.6370 to 0.7645 0.061 0.6753 0.6099 to 0.7407 0.258
Gail factors 0.7144 0.6532 to 0.7755 0.044 0.6522 0.5855 to 0.7188 0.955
Gail factors, BMI 0.7279 0.6705 to 0.7854 0.014 0.6561 0.5919 to 0.7203 0.924
Gail factors, BMI, log SNP RR 0.7377 0.6808 to 0.7946 0.007 0.6727 0.6099 to 0.7356 0.493
  1. aAUC, Area under the receiver operating characteristic curve; BMI, Body mass index; CI, Confidence interval; RR, Relative risk; SNP, Single-nucleotide polymorphism. b P-values derived from DeLong test compared to model with age only.