Table 4.
Univariate and multivariate logistic regression models to predict upgrading from biopsy GS ≤7 (3 + 4) to GS ≥7 (4 + 3) at radical prostatectomy.
| Univariate | Multivariate | |||
|---|---|---|---|---|
| OR (95% CI) | p-value | OR (95% CI) | p-value | |
| Weight | 0.991 (0.976–1.006) | 0.218 | – | – |
| SWE | 1.015 (1.003–1.027) | 0.014 | 1.015 (1.002–1.028) | 0.029 |
| PSA level (ng/ml) | 1.098 (1.026–1.169) | 0.007 | 1.087 (1.016–1.163) | 0.016 |
| PI-RADS | ||||
| ≤3 | 1 (referent) | – | 1 (referent) | – |
| >3 | 7.435 (0.948–58.305) | 0.056 | 7.317 (0.862–62.097) | 0.068 |
| Positive Core | 1.038 (0.900–1.198) | 0.605 | – | – |
| Percentage | 1.014 (0.999–1.029) | 0.074 | – | – |
| Clinical stage | ||||
| T3 | 1 (referent) | – | – | – |
| T2b/c | 2.156 (0.487–9.556) | 0.312 | – | – |
| ≤T2a | 0.778 (0.154–3.927) | 0.761 | – | – |
OR: odd ratio; Univariate and Multivariate analysis are two statistical analyses. Univariate involves the analysis of a single variable while multivariate analysis examines two or more variables. Most multivariate analysis involves a dependent variable and multiple independent variables.