Table 3 Logistic regression model using the same predictive variables and using PCA3 as a continuous value
From: Optimizing the clinical utility of PCA3 to diagnose prostate cancer in initial prostate biopsy
Clinical variables + PCA3 | Clinical variables | |||
|---|---|---|---|---|
Predictor variable | O.R. (95 % C.I.) | p-value | O.R. (95 % C.I.) | p-value |
PSA | 1.63 (1.21–2.20) | 0,001 | 1.69 (1.27–2.26) | <,001 |
Prostatic volume | 0.54 (0.38–0.77) | <,001 | 0.45 (0.32–0.63) | <,001 |
DRE | 3.57 (1.67–7.61) | 0,001 | 3.64 (1.76–7.53) | <,001 |
PCA3 | 3.19 (2.08–4.88) | <,001 | ||
AUC | 0.769 (0.72–0.82) | 0.712 (0.66–0.77) | ||
AUC comparison | p-value = 0.008 | |||