Table 4 Adjusted^a Poisson regression models assessing all-cause and breast cancer-specific mortality by surgery pattern for stage I-III breast cancer patients

Surgery Pattern

P < 0.001

P = 0.07

 BCS

1.00

1.00

 BCS, BCS

0.68 (0.43, 1.09)

1.19 (0.71, 1.97)

 BCS, Mastectomy

0.93 (0.64, 1.36)

1.22 (0.74, 2.00)

 Mastectomy

1.35 (1.15, 1.58)

1.36 (1.08, 1.72)

Geography of Surgery

P = 0.11

P = 0.14

 Calgary

1.00

1.00

 Edmonton

1.17 (1.01, 1.37)

1.13 (0.90, 1.42)

 Central

1.16 (0.89, 1.50)

1.10 (0.75, 1.61)

 South

1.29 (1.02, 1.61)

1.39 (1.00, 1.93)

 North

1.33 (0.96, 1.85)

1.62 (1.05, 2.48)

Year of Diagnosis

P = 0.024

P = 0.89

 2002 – 2005

1.00

1.00

 2006 – 2009

0.83 (0.71, 0.98)

0.98 (0.78, 1.24)

ER/PR Status & Hormone therapy

P < 0.001

P < 0.001

 ER/PR positive & received hormone

1.00

1.00

 ER/PR positive & no hormone

1.51 (1.24, 1.84)

1.25 (0.88, 1.75)

 ER/PR negative

1.96 (1.68, 2.30)

2.61 (2.10, 3.25)

Neo-adjuvant Chemotherapy

P = 0.11

P = 0.030

 Not received

1.00

1.00

 Received

0.73 (0.50, 1.06)

0.60 (0.39, 0.94)

Adjuvant Chemotherapy

P = 0.002

P = 0.46

 Not received

1.00

1.00

 Received

1.38 (1.12, 1.70)

1.11 (0.84, 1.47)

Tumor Size

P < 0.001

P < 0.001

 T0/T1

1.00

1.00

 T2

2.12 (1.82, 2.47)

2.36 (1.85, 3.00)

 T3/T4

2.97 (2.20, 4.01)

4.34 (2.95, 6.36)

Nodal Status

P < 0.001

P < 0.001

 N0

1.00

1.00

 N1

1.80 (1.52, 2.13)

2.35 (1.85, 3.00)

 N2/N3

3.00 (2.34, 3.86)

4.53 (3.27, 6.26)