Skip to main content
. Author manuscript; available in PMC: 2012 Jun 1.
Published in final edited form as: BJU Int. 2010 Nov 2;107(12):1956–1962. doi: 10.1111/j.1464-410X.2010.09795.x

TABLE 3.

Univariate and multivariable logistic regression models of preoperative clinical variables predicting positive surgical margins following radical prostatectomy

Variable Univariate analyses
Multivariable analyses
OR 95% CI P OR 95% CI P
Surgical technique 0.010 0.016
 RRP 1.00 (reference) 1.00 (reference)
 LRP 0.89 0.63–1.27 0.529 1.10 0.65–1.86 0.731
 RARP 1.45 1.04–2.00 0.025 1.64 1.06–2.53 0.026
Age 1.02 0.99–1.04 0.137 1.01 0.99–1.03 0.462
Race 0.692 0.909
 Caucasian 1.00 (reference) 1.00 (reference)
 African-American 1.20 0.79–1.80 0.396 1.10 0.72–1.68 0.674
 Other 1.07 0.55–2.07 0.850 0.97 0.50–1.91 0.937
Biopsy Gleason score <0.001 <0.001
 ≥6 1.00 (reference) 1.00 (reference)
 7 1.98 1.48–2.66 <0.001 1.84 1.35–2.52 <0.001
 8–10 0.86 0.33–2.21 0.746 0.68 0.25–1.82 0.438
Preoperative PSA 1.10 1.05–1.14 <0.001 1.09 1.04–1.14 <0.001
Clinical stage T2 relative to T1 1.07 0.76–1.50 0.703 1.01 0.71–1.44 0.959
Number of cases performed 0.070 0.440
 ≥50 cases 1.00 (reference) 1.00 (reference)
 >50 cases 1.37 1.00–1.87 0.048 1.29 0.86–1.93 0.220
 >200 cases 0.87 0.57–1.32 0.509 1.11 0.61–2.03 0.729

LRP, laparoscopic radical prostatectomy; OR, odds ratio; RRP, retropubic prostatectomy; RARP, robot-assisted radical prostatectomy.