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. 2017 Feb 11;8(3):490–496. doi: 10.7150/jca.17305

Table 3.

Logistic regression analysis of factors associated with residual tumor.

Variable Unadjusted OR (95% CI) P Adjusted OR* (95% CI) P
Age a 1.02(0.98-1.06) 0.299 1.03(0.99-1.07) 0.206
Dominant feature
Mass only 1.00 1.00
Mass with calcification 1.45(0.55-3.84) 0.453 1.84(0.62-5.45) 0.270
Largest tumor dimension/mm
≤10 1.00 1.00
10-20 1.81(0.66-4.98) 0.247 1.62(0.54-4.89) 0.391
>20 0.93(0.30-2.85) 0.895 0.59(0.17-2.08) 0.413
Histological type
IDC 1.00 1.00
DCIS 0.32(0.13-0.78) 0.013 0.44(0.16-1.17) 0.098
Others b 0.62(0.21-1.80) 0.376 0.83(0.26-2.65) 0.83
Lymph node status
LN- c 1.00 1.00
LN+ d 3.17(1.00-10.03) 0.049 3.51(0.98-12.54) 0.053

Abbreviations: IDC: invasive ductal carcinoma; DCIS: ductal carcinoma in situ; OR: odds ratio; CI: confidence interval.

a Continuous variable.

b Others included invasive lobular carcinoma (2 cases), mucinous carcinoma (9 cases), phylloides tumor (2 cases), signet-ring cell carcinoma (1 case), medullary carcinoma (1 case), metaplastic carcinoma (1 case), intraductal papillary carcinoma (1 case).

c No metastatic axillary lymph node.

d One or more metastatic axillary lymph node.

* Each covariate adjusted for all others.