Machine learning prediction of pathological complete response and overall survival of breast cancer patients in an underserved inner-city population

Table 7 Odds ratios for OS at 7.5 years for demographics, tumor subtypes, pCR, income quintile, and insurance status (N = 433 out of 475)

	OR	2.5%	97.5%	p value
Race
Black versus non-Hispanic White (ref)	0.254	0.088	0.734	0.011
Asian versus non-Hispanic White (ref)	0.314	0.099	0.813	0.019
Ethnicity
Hispanics	1.182	0.701	1.993	0.531
Subtypes (ER− and HER2+ as reference)
Triple negative	0.406	0.184	0.895	0.025
ER+ and HER2+	1.584	0.571	4.395	0.377
ER+ and HER2−	1.200	0.490	2.936	0.690
Incomes (5th quintile (highest) as reference)
4th	0.599	0.162	2.222	0.444
3rd	0.377	0.100	1.417	0.149
2nd	0.308	0.096	0.991	0.05
1st	0.514	0.148	1.787	0.296
Insurance (private as reference)
Medicaid	0.281	0.116	0.681	0.005
Medicare	0.121	0.046	0.320	< 0.0001

ISSN: 1465-542X