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. 2019 Aug 27;23(1):136–143. doi: 10.1038/s41391-019-0167-9

Table 3.

Firth’s penalized logistic regression for stratification of F-IR (n = 220) by Decipher compared to VL/LR (n = 427) predicting AP

Model Variable Odds ratio (95% CI) p value
NCCN NCCN F-IR vs. VL/LR 1.71 (1.04−2.79) 0.034*
NCCN stratified by Decipher NCCN F-IR + GC low vs. NCCN VL/LR 1.48 (0.85−2.53) 0.160
NCCN F-IR + GC int vs. NCCN VL/LR 1.26 (0.33−3.59) 0.700
NCCN F-IR + GC high vs. NCCN VL/LR 6.83 (2.45−18.31) <0.001*

F-IR NCCN favorable-intermediate risk, VL/LR NCCN very low/low risk, AP adverse pathology, NCCN National Comprehensive Cancer Network, GC genomic classifier–Decipher

*p value < 0.05