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