Table 5.
Model | OR (95% CI) | p value | AUC of model (95% CI) | Increase in AUC from adding GC |
---|---|---|---|---|
GC (per 0.1 unit) | 1.19 (1.06, 1.34) | 0.003 | 0.63 (0.55, 0.70) | (NA) |
GC (per 0.1 unit), adjusted for base model | 1.19 (1.05, 1.34) | 0.006 | 0.63 (0.56, 0.70) | (0.04) |
GC (per 0.1 unit), adjusted for CAPRA-S | 1.14 (1.01, 1.29) | 0.03 | 0.64 (0.56, 0.70) | (0.03) |
GC (> 0.6 vs ≤ 0.6) | 2.33 (1.37, 3.97) | 0.002 | 0.60 (0.54, 0.67) | (NA) |
GC (> 0.6 vs ≤ 0.6) + base model | 2.31 (1.31, 4.06) | 0.004 | 0.63 (0.56, 0.70) | (0.04) |
GC (> 0.6 vs ≤ 0.6) + CAPRA-S | 1.95 (1.12, 3.39) | 0.02 | 0.64 (0.56, 0.71) | (0.03) |
AUC = area under the curve; CAPRA-S = Cancer of the Prostate Risk Assessment Postsurgical; CI = confidence interval; GC = Decipher genomic classifier; NA = not applicable; OR = odds ratio; PCSM = prostate cancer-specific mortality.