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. 2017 Feb 1;17:11. doi: 10.1186/s12880-017-0184-x

Table 2.

Univariate and multivariate logistic regression analyses to detect clinically significant prostate cancer

Predictor Univariate analysis Multivariate analysis
OR (95% CI) p value OR (95% CI) p value
Age 1.040 (0.893–2.089) 0.021 1.074 (1.008–1.243) 0.031
tPSA 0.040 (0.012–0.089) 0.238 NA
fPSA 1.342 (0.712–1.993) 0.413 NA
PSA f/t 1.772 (0.832–2.116) 0.043 NA
NA
NA
MRI-based PV 1.112 (1.069–1.157) 0.011 NA
Adjusted PSAD 6.433 (4.293–8.140) <0.001 4.711 (3.704–6.313) 0.013
DRE results 0.547 (0.199–1.639) 0.078 NA
TRUS results 0.961 (0.370–1.826) 0.069 NA
PI-RADS v2 scores 3.231 (2.173–6.804) <0.001 2.171 (1.345–3.504) <0.001

OR odds ratio, CI confidence interval, NA Not available, PSA Prostate-specific antigen, MRI Magnetic resonance imaging, PV Prostate volume, PSAD Prostate-specific antigen density, DRE Digital rectal examination, TRUS Transrectal ultrasound, PI-RADS v2 Prostate Imaging Reporting and Data System version 2