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Table 3 Odds ratios for pCR as outcome for demographics, tumor subtypes, pCR, income quintile, and insurance status (N = 433 out of 475)

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

(A) Odds ratio for pCR as the outcome

OR

2.5%

97.5%

p value

Race (white as reference)

 Black versus non-Hispanic White (ref)

1.515

0.737

3.114

0.259

 Asian versus non-Hispanic White (ref)

2.207

0.898

5.425

0.085

Ethnicity

 Hispanics

1.267

0.809

1.987

0.301

Subtypes (ER− and HER2+ as reference)

 Triple negative

0.406

0.219

0.754

0.004

 ER+ and HER2+

0.285

0.137

0.593

< 0.0001

 ER+ and HER2−

0.085

0.037

0.194

< 0.0001

Incomes (5th quintile (highest) as reference)

 4th

0.899

0.434

1.862

0.774

 3rd

0.942

0.417

2.219

0.885

 2nd

0.798

0.395

1.614

0.530

 1st

1.204

0.608

2.382

0.001

Insurance status (private as reference)

 Medicaid

0.838

0.502

1.399

0.498

 Medicare

0.724

0.342

1.533

0.399