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Table 4 Univariate and multivariate regression analysis for the learning group (n = 190)

From: Development and validation of a model that includes two ultrasound parameters and the plasma D-dimer level for predicting malignancy in adnexal masses: an observational study

 

Univariate regression

Multivariate regression

Variable

estimate

p-value

estimate (95% Cl)

OR

p-value

Age (years)

0.06938

< 0.001

   

Menopausal status (postmenopausal)

0.8692

< 0.001

   

Ultrasound parameters

 Mulilocular cyst

0.9457

0.002

   

 Solid areas

3.9671

< 0.001

3.7046 (1.9081, 5.5012)

40.6

< 0.001

 Bilateral lesions

2.9750

< 0.001

   

 Ascites

2.8078

< 0.001

   

 Metastases in abdominal cavity

3.8865

< 0.001

   

 Largerst diameter of tumor [mm]

0.001807

0.45

   

 Color Score

1.6768

< 0.001

1.0313 (0.2119, 1.8508)

2.8

0.014

Laboratory variables

 CA125 [U/ml]

0.005822

< 0.001

   

 PLT [150–400 G/l]

0.007000

< 0.001

   

 D-dimer [μg/ml]

0.001967

< 0.001

0.0012 (0.0006, 0.0019)

1.0012

< 0.001

  

intercept

−5.7496 (−7.8646, −3.6346)

 

< 0.001

  1. CA125 cancer antigen 125, PLT platelet count, OR odds ratio