Table 2.
Univariate and multivariate binary logistic regression analysis testing the value of clinical variables in predicting prostate cancer (all the prostate cancer)
| Variables | Univariable analysis | Multivariable analysis | ||||
|---|---|---|---|---|---|---|
| OR (95% CI) | Standard error | P | OR (95% CI) | Standard error | P | |
| Age (year) | 0.960 (0.921–0.999) | 0.021 | 0.046 | 0.915 (0.868–0.965) | 0.027 | 0.001 |
| PV (cc) | 1.044 (1.019–1.071) | 0.013 | 0.001 | 1.016 (0.981–1.051) | 0.018 | 0.038 |
| F/T PSA | 394.708 (2.569–60640.494) | 2.569 | 0.020 | 58.204 (0.079–43133.384) | 3.372 | 0.028 |
| PSAD (ng−1 ml−1 cc−1) | 0.000 (0.000–0.000) | 2.156 | <0.001 | 0.001 (0.000–0.323) | 3.215 | 0.021 |
PV: prostate volume (cc); PSA: prostate-specific antigen; F/T PSA: free/total PSA ratio; PSAD: PSA density (ng ml−1 cc−1); CI: confidence interval; OR: odds ratio