Table 4 Summary of univariate and multi-variate analysis for all non-functioning dNENS to predict liver metastases.

From: Diagnostic features and management options for duodenal neuroendocrine neoplasms: a retrospective, multi-centre study

Characteristic

Univariate OR

Univariate p

Multivariate OR

Multivariate p

Age

In tens

1.05 [0.70–1.57]

p = 0.829

  

Gender

Female

1

 

1

 

Male

0.35 [0.12–1.01]

p = 0.052

0.24 [0.05–1.10]

p = 0.067

Size

 <  = 10 mm

1

 

1

 

11-20 mm

5.86 [1.09–31.6]

p = 0.040

5.16 [0.76–35.2]

p = 0.093

 > 20 mm

26.4 [4.68–149]

p = 0.00003

16.7 [2.08–134]

p = 0.008

Location*

D1

1

 

1

 

D2

8.67 [2.02–36.9]

p = 0.004

23.0 [2.26–234]

p = 0.008

Grade

G1

1

 

1

 

G2-3

16.2 [4.50–58.3]

p = 0.00002

6.79 [1.56–29.5]

p = 0.011

FDG**

Negative

1

 

1

 

Positive

6.00 [0.88–40.9]

p = 0.067

6.09 [0.89–41.9]

p = 0.066

68 Ga

Negative

1

   

Positive

1.40 [0.32–6.07]

p = 0.655

  
  1. *Location was multi-collinear with FDG and size, so was analysed in a separate multivariate model—please see supplementary tables. **FDG was multi-collinear with grade, location and size, so was analysed in a separate multivariate model—please see supplementary tables.