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Table 3 Univariate and Multivariate Logistic Regression Analysis

From: A nomogram based on biparametric magnetic resonance imaging for detection of clinically significant prostate cancer in biopsy-naïve patients

Variable

OR

95% CI

SE

P

Univariate Logistic Regression Analysis

Age

1.06

1.03–1.10

0.02

0.001

PSAD

34.27

9.87-119.02

21.77

< 0.001

PV

0.98

0.97–0.99

0.01

0.004

PSA

1.05

1.03–1.07

0.01

< 0.001

Scoring 1

2.87

2.13–3.87

0.44

< 0.001

Scoring 2

3.51

2.49–4.95

0.61

< 0.001

Scoring 3

1.76

1.49–2.08

0.15

< 0.001

Multivariate Logistic Regression Analysis

Age

1.05

1.00-1.10

0.023

0.019

PSAD

18.97

4.97–72.39

12.96

< 0.001

Scoring 1

2.52

1.80–3.54

0.44

< 0.001

Age

1.05

1.00-1.10

0.023

0.031

PSAD

17.81

4.51–70.42

12.49

< 0.001

Scoring 2

3.13

2.13–4.58

0.61

< 0.001

Age

1.05

1.01–0.10

0.023

0.022

PSAD

20.06

5.3-77.42

13.86

< 0.001

Scoring 3

1.66

0.38-2.00

0.16

< 0.001

  1. CI, confidence interval; OR, odd ratio; PSAD, prostate-specific antigen density; PV, prostate volume; SE, standard error