Table 4.

Univariate and multivariate logistic regression

Characteristics		Univariate analysis		Multivariate analysis
		OR (95% CI)	p-value	OR (95% CI)	p-value
Age ≥ 50 years vs. < 50 years		0.72 (0.49–1.06)	0.098	0.61 (0.40–0.93)	0.020
Status: post- vs. premenopausal		0.76 (0.52–1.11)	0.158
T3–T4 vs. T1–T2		0.55 (0.31–0.99)	0.044
N+ vs. N0		0.62 (0.42–0.91)	0.016
G3 vs. G1–G2		0.80 (0.53–1.22)	0.304
ER+ vs. ER0		2.20 (1.40–3.48)	0.001	2.10 (1.30–3.41)	0.003
PR+ vs. PR0		1.95 (1.29–2.96)	0.002
HER2 positive vs. HER2 negative		0.17 (0.11–0.28)	0.0001	0.17 (0.11–0.28)	0.0001
Breast cancer patients age < 50 years
	T3–T4 vs. T1–T2	0.90 (0.41–1.95)	0.934
	N+ vs. N0	0.51 (0.28–0.93)	0.038
	G3 vs. G1–G2	1.20 (0.66–2.17)	0.658
	ER+ vs. ER0	2.02 (1.05–3.88)	0.049	1.94 (0.98–3.83)	0.058
	PR+ vs. PR0	1.47 (0.80–2.73)	0.277
	HER2 positive vs. HER2 negative	0.24 (0.12–0.47)	0.0001	0.25 (0.13–0.48)	0.0001
Breast cancer patients: age ≥ 50 years
	T3–T4 vs. T1–T2	0.30 (0.11–0.78)	0.011	0.35 (0.13–0.96)	0.041
	N+ vs. N0	0.67 (0.40–1.14)	0.182
	G3 vs. G1–G2	0.49 (0.26–0.92)	0.036
	ER+ vs. ER0	2.54 (1.32–4.87)	0.007	2.03 (1.01–4.08)	0.046
	PR+ vs. PR0	2.46 (1.38–4.36)	0.003
	HER2 positive vs. HER2 negative	0.11 (0.05–0.24)	0.0001	0.12 (0.05–0.26)	0.0001