Increasing rates of surgical treatment and preventing comorbidities may increase breast cancer survival for Aboriginal women

Table 3 Cox regression models of factors associated with breast cancer survival for NSW women 2001–2007 (n = 26762)

	Unadjusted model			Multivariable model
	Hazard ratio (95% CI)		p-value	Hazard ratio (95% CI)		p-value
Aboriginal	1.69	1.22-2.25	0.002	1.30	0.94-1.75	0.105
Age at diagnosis			<0.001			<0.001
20-49	1.16	1.03-1.31		1.03	0.91-1.16
50-69	1.00			1.00
60-69	0.91	0.80-1.04		0.90	0.79-1.02
70-79	1.71	1.51-1.93		1.52	1.35-1.72
80+	3.52	3.12-3.97		2.27	1.99-2.59
Year of diagnosis	0.97	0.95-1.00	0.018	0.96	0.94-0.98	<0.001
Spread of disease			<0.001			<0.001
Localised	1.00			1.00
Regional	3.90	3.50-4.35		3.63	3.25-4.06
Distant	24.46	21.76-27.53		11.85	10.40-13.50
Unknown	5.40	4.64-6.29		2.41	2.05-2.83
Comorbidities^a
Diabetes	1.52	1.33-1.72	<0.001	1.09	0.96-1.24	0.187
Cardiovascular disease	3.27	2.86-3.72	<0.001	1.18	1.02-1.37	0.030
Chronic pulmonary disease	1.63	1.37-1.92	<0.001	1.13	0.95-1.34	0.166
Other comorbidities	3.95	3.47-4.48	<0.001	1.60	1.38-1.84	<0.001
Surgical treatment			<0.001			<0.001
No surgical treatment	1.00			1.00
Local excision/Lumpectomy only	0.06	0.06-0.07		0.17	0.15-0.19
Mastectomy^b	0.17	0.15-0.18		0.31	0.28-0.34
Socioeconomic disadvantage			<0.001			0.018
Least disadvantaged	1.00			1.00
Second least disadvantaged	1.14	1.00-1.29		1.09	0.96-1.24
Third least disadvantaged	1.31	1.15-1.49		1.17	1.03-1.34
Second most disadvantaged	1.33	1.17-1.50		1.25	1.09-1.42
Most disadvantaged	1.35	1.19-1.52		1.19	1.02-1.38
Place of residence			0.014			0.703
Major cities	1.00			1.00
Inner regional	1.11	1.01-1.22		1.03	0.92-1.15
Rural^b	1.20	1.02-1.40		0.96	0.80-1.15

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