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. 2020 Nov 10;7:584897. doi: 10.3389/fsurg.2020.584897

Table 6.

Univariable and multivariable logistic regression model predicting Positive Surgical Margin (PSM).

Univariable Multivariable
OR CI 2.5–97.5% P value OR CI 2.5–97.5% P value
Age 1.01 0.98–1.03 0.5 1.02 0.99–1.05 0.3
BMI 1.05 1.00–1.09 0.03 1.03 0–971.08 0.4
iPSA 1.02 1.01–1.03 <0.001 1.02 1.00–1.03 0.02
Prostate volume 1.00 0.99–1.02 0.5 0.99 0.98–1.00 0.3
Blood loss 1.00 1.00–1.00 0.8 1.00 1.00–1.00 0.9
cT1c (Ref.) 1 (Ref.) 1 (Ref.)
cT2 1.52 1.05–2.20 0.03 1.23 0.78–1.97 0.4
≥ cT3 10.77 4.81–26.64 <0.001 7.03 2.40–23.75 <0.01
Gleason 6 1 (Ref.) 1 (Ref.)
7 1.44 0.88–2.43 0.2 1.05 0.58–1.96 0.9
8–10 3.46 2.02–6.09 <0.01 2.21 1.05–4.76 0.04
Surgical approach ORP 1 (Ref.) 1 (Ref.)
RARP 0.74 0.52–1.05 0.1 1.72 0.93–3.25 0.1

BMI, Body mass index; iPSA, initial Prostate Specific Antigen; ORP, Open Radical Prostatectomy; RARP, Robot–assisted Radical Prostatectomy; OR, Odds ratio and CI, Confidence interval.