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Table 2 Univariate and multivariate logistic regression analyses to detect clinically significant prostate cancer

From: Developing a nomogram based on multiparametric magnetic resonance imaging for forecasting high-grade prostate cancer to reduce unnecessary biopsies within the prostate-specific antigen gray zone

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

  1. 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