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Table 3 Uni- and Mulit-logistic regression analysis for predicting risk of LLNM in the present study

From: Nomogram for predicting the risk of cervical lymph node metastases and recurrence in papillary thyroid carcinoma based on the thyroid differentiation score system and clinical characteristics

Clinical characteristics

OR [95%CI]

P (Uni)

OR [95%CI]

P (Multi)

Tolerance

VIF

Sex

 

0.02

 

0.08

  

 Female

1

 

1

   

 Male

1.68 [1.10, 2.56]

 

1.92 [0.93, 3.94]

   

Age (year)

 

0.84

    

 < 55

1

     

 ≥ 55

1.04 [0.68, 1.60]

     

Dimension (cm)

 

0.00

 

0.10

  

 ≤ 2.95

1

 

1

   

 > 2.95

2.47 [1.63, 3.72]

 

1.17 [0.96, 1.43]

   

Multifocality

 

0.22

    

 No

1

     

 Yes

1.30 [0.85, 1.97]

     

Bilaterality

 

0.25

    

 No

1

     

 Yes

1.32 [0.82, 2.13]

     

Extrathyroidal invasion

 

0.00

 

0.72

  

 No

1

 

1

   

 Yes

2.33 [1.51, 3.58]

 

1.13 [0.56, 2.28]

   

Lymphocytic thyroiditis

 

0.55

    

 No

1

     

 Yes

0.84 [0.48, 1.47]

     

Histological type

 

0.03

 

0.84

  

 Classic papillary

1

 

1

   

 Other subtypes

0.61 [0.39, 0.95]

 

1.09 [0.48, 2.46]

   

TDS

 

0.00

 

0.00

0.93

1.08

 ≤ -0.21

1

 

1

   

 > -0.21

0.17 [0.11, 0.26]

 

0.09 [0.04, 0.21]

   

Absence of preoperative LN assessment

 

0.15

    

 No

1

     

 Yes

1.48 [0.87, 2.52]

     

Excised cervical LN number

 

0.00

 

0.00

0.77

1.31

 ≤ 21.5

1

 

1

   

 > 21.5

34.76 [17.75, 68.04]

 

12.30 [4.35, 34.77]

   

CLNM

 

0.00

 

0.00

0.78

1.29

 No

1

 

1

   

 Yes

34.89 [15.86, 76.76]

 

1.07 [1.04, 1.10]

   
  1. TDS: thyroid differentiation score, LN: lymph node, OR: odds ratio, CI: Confidence Interval, CLNM: central lymph node metastasis, LLNM: lateral lymph node metastasis, VIF: Variance Inflation Factor