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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