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. Author manuscript; available in PMC: 2018 Jan 31.
Published in final edited form as: Cancer Causes Control. 2016 Jan 21;27(3):391–401. doi: 10.1007/s10552-016-0715-8

Table 5.

Hazard ratios (95 % CI) for race/ethnicity and comorbidities by source of comorbidity data in the CBCSC Comorbidity Validation Study, 1997–2010

Study Questionnaire KPMR


HRa 95 % CI HR 95 % CI
n deaths + censored 1,936 1,936
Diabetes model (n = 1,936)
 No 1.00 1.00
 Yes 1.65 1.20, 2.25 1.44 1.07, 1.95
 Missing 0.70 0.34, 1.45
 Akaike information criterionb 3,938 3,940
Hypertension model (n = 1,936)
 No 1.00 1.00
 Yes 1.22 0.96, 1.54 1.55 1.22, 1.96
 Missing 0.93 0.37, 2.31
 Akaike information criterion 3,945 3,933
Myocardial infarction model (n = 1,609)
 No 1.00 1.00
 Yes 1.40 0.79, 2.49 1.73 0.82, 3.66
 Missing 0.44 0.20, 0.96
 Akaike information criterion 3,485 3,488
Other heart diseases model (n = 1,768)
 No 1.00 1.00
 Yes 1.07 0.77, 1.49 1.51 1.17, 1.96
 Missing 0.82 0.43, 1.55
 Akaike information criterion 3,736 3,725

CBCSC California Breast Cancer Survivorship Consortium, CI confidence interval, HR hazard ratio, KPMR Kaiser Permanente medical record

a

Cox proportion hazards regression model for all-cause mortality using attained age as the time metric, stratification by study, and adjustment for age, ln(age), AJCC stage, differentiation, ER/PR, nodes, tumor size, prior tumor, chemotherapy, surgery, age at first birth, alcohol, education, marital status, neighborhood socioeconomic status, race/ethnicity, smoking, nativity, and BMI

b

Lower values of Akaike information criterion indicate better model fit