Multivariable Logistic Regression Model Predicting Detection of Positive Nodes at Final Pathology
| Variable | Parameter | OR | 95%CI | P |
|---|---|---|---|---|
| cT stage | cT1c | Ref | ||
| cT2 | 1.14 | 0.74–1.79 | 0.4 | |
| ≥cT3 | 3.25 | 2.11–5.14 | <0.001 | |
| Biopsy GS | 6 | Ref | ||
| 7 | 1.99 | 1.20–3.46 | 0.009 | |
| 8–10 | 3.00 | 1.79–5.27 | <0.001 | |
| cN stage | cNx | Ref | ||
| cN0 | 0.85 | 0.58–1.23 | 0.4 | |
| cN1 | 3.02 | 1.84–4.98 | <0.001 | |
| Percentage of positive cores | 1.633 | 1.371–1.94 | <0.001 | |
| PSA at RP | 1.010 | 1.002–1.018 | 0.01 | |
| Number of removed nodes | 1.032 | 1.015–1.049 | <0.001 | |
| SNB use | Non-SNB | Ref | ||
| ICG SNB | 1.35 | 0.89–2.03 | 0.1 | |
| Hybrid SNB | 1.61 | 1.18–2.20 | 0.002 |
Ref = reference; GS = Gleason score; PSA = prostate-specific antigen; RP = radical prostatectomy.