Skip to main content
. 2018 Dec 12;22(3):399–405. doi: 10.1038/s41391-018-0101-6

Table 4.

Logistic regression analysis for predicting adverse pathology using Decipher cut-point of 0.2 in biopsy cohort

Model Variable Odds ratio (95% CI) P-value
Univariable CAPRA 1.42 (0.93–2.19) 0.109
Categorical CAPRA Int. vs Low 1.51 (0.67–3.26) 0.311
Decipher 1.32 (1.07–1.63) 0.011*
Decipher > 0.2 vs ≤ 0.2 3.56 (1.39–11.43) 0.006*
Multivariable: CAPRA + Decipher CAPRA 1.29 (0.84–2.00) 0.239
Decipher 1.29 (1.03–1.61) 0.025*
Multivariable: Categorical CAPRA + Categorical Decipher (cutpoint = 0.2) Categorical CAPRA Int. vs Low 1.31 (0.58–2.86) 0.513
Decipher > 0.2 vs ≤ 0.2 3.17 (1.22–10.26) 0.016*

Odds ratios of Decipher were reported per 0.1 unit increase. 4 patients without CAPRA scores were excluded in models with CAPRA.

*P-value < 0.05

CI confidence interval