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Table 2 Univariate and multivariate logistic regression analysis of local treatment groups after PSM

From: A nomogram model for determining optimal patients for local therapy in metastatic prostate cancer: a SEER database-based study

Variable

Univariable

Multivariable

OR

95%CI

p value

OR

95%CI

p value

Factors selected

  Age(years)

  > 65

1 [Reference]

1 [Reference]

  ≤ 65

1.39

1.16

1.67

 < 0.001

1.59

1.30

1.94

 < 0.001

 PSA(ng/ml)

  PSA > 80

1 [Reference]

1 [Reference]

  PSA ≤ 20

3.40

2.74

4.22

 < 0.001

2.90

2.30

3.65

 < 0.001

  20 < PSA ≤ 50

2.10

1.61

2.74

 < 0.001

1.83

1.39

2.41

 < 0.001

  50 < PSA ≤ 80

1.67

1.18

2.37

0.004

1.46

1.01

2.09

0.042

 Gleason

 > 7

1 [Reference]

1 [Reference]

 < 7

3.44

1.96

6.03

 < 0.001

2.63

1.45

4.75

0.001

 7

2.46

1.93

3.14

 < 0.001

2.05

1.58

2.66

 < 0.001

 T_stage

  T4

1 [Reference]

1 [Reference]

  T1

1.80

1.33

2.44

 < 0.001

1.49

1.07

2.08

0.020

  T2

1.49

1.10

2.01

0.010

1.26

0.91

1.75

0.166

  T3

2.62

1.87

3.67

 < 0.001

2.00

1.39

2.87

 < 0.001

 N_stage

  N1

1 [Reference]

1 [Reference]

  N0

1.30

1.07

1.57

0.008

1.32

1.05

1.65

0.018

 M_stage

  M1c

1 [Reference]

1 [Reference]

  M1NOS

1.62

0.90

2.91

0.106

1.26

0.68

2.36

0.465

  M1a

5.93

3.70

9.51

 < 0.001

4.95

3.00

8.18

 < 0.001

  M1b

1.82

1.40

2.36

 < 0.001

1.72

1.31

2.27

 < 0.001

Factors not selected

 Race

  White

1 [Reference]

    

  others

0.94

0.76

1.16

     
  1. PSM Propensity Score Matching, PSA prostate specific antigen, OR odds ratio, CI confidence interval
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BMC Urology

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