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Table 4 Multivariable logistic regression analysis between clinical histopathological characteristics and BRCA1/2 mutations

From: Clinical application of artificial neural network (ANN) modeling to predict BRCA1/2 germline deleterious variants in Chinese bilateral primary breast cancer patients

Characteristics

Effect

S.E.

OR

95% CI

P

Interval time (year)

-0.0209

0.0543

0.979

0.88–1.089

0.6998

Age (year)

-0.1415

0.0497

0.868

0.787–0.957

0.0045

At least one medullary carcinoma

2.6974

1.6657

14.841

0.56704–388.41

0.1054

Both HR (-) tumor

1.2346

1.0064

3.4369

0.47807–24.708

0.2199

Both HER2 (-) tumor

1.7107

0.62778

5.533

1.6166–18.938

0.0064