Table 2.
Regression analysis results of establishing general data model based on clinical features to predict the BCR, ∗P < 0.05.
General data model | Univariate analysis | Multivariate analysis | ||
---|---|---|---|---|
P | Hazard ratio | P | Hazard ratio | |
Age (year) | 0.549 | 1.027 (0.941-1.123) | ||
Prostate volume (cm3) | 0.772 | 0.994 (0.956-1.034) | ||
Tumor diameter (mm) | 0.038∗ | 1.431 (1.021-2.003) | 0.081 | 1.441 (0.956-2.174) |
BMI (kg/m2) | 0.815 | 0.985 (0.869-1.117) | ||
Clinical T stage | 0.027∗ | 1.839 (1.071-3.159) | 0.219 | 1.518 (0.781-2.953) |
Lymph node metastasis | 0.017∗ | 1.469 (1.072-2.013) | 0.027∗ | 1.526 (1.049-2.221) |
Distant metastasis | 0.041∗ | 1.404 (1.015-1.942) | 0.621 | 1.107 (0.739-1.659) |
Gleason score | 0.049∗ | 2.331 (1.004-5.409) | 0.050 | 2.788 (0.998-7.788) |
Preoperative PSA (μg/L) | 0.031∗ | 2.248 (1.075-4.701) | 0.035∗ | 2.571 (1.070-6.178) |
Treatment mode | 0.022∗ | 2.667 (1.152-6.172) | 0.022∗ | 3.263 (1.189-8.955) |