Table 3.
Adjusted for clinical prognostic factors† | Adjusted for clinical prognostic factors, income, and education | Estimated cause-specific survival‡ | |||||||
Disease | HR (95% CI) | P§ | % With available SES data | % Income‖ (AA vs other) | % Education‖ (AA vs other) | HR (95% CI) | P§ | HR (95% CI) | P§ |
Premenopausal breast cancer | 1.41 (1.10 to 1.82) | .007 | 72 | 45 vs 74 | 41 vs 73 | 1.43 (1.11 to 1.84) | .006 | 1.41 (1.09 to 1.84) | .01 |
Postmenopausal breast cancer | 1.49 (1.28 to 1.73) | <.001 | 68 | 32 vs 67 | 26 vs 67 | 1.48 (1.27 to 1.72) | <.001 | 1.39 (1.17 to 1.66) | <.001 |
AML | 1.12 (0.97 to 1.30) | .12 | 44 | 23 vs 60 | 27 vs 62 | 1.10 (0.95 to 1.28) | .20 | 1.05 (0.83 to 1.33) | .66 |
Limited-stage SCLC | 1.13 (0.90 to 1.42) | .29 | 21 | 21 vs 62 | 7 vs 64 | 1.13 (0.90 to 1.42) | .28 | 1.11 (0.77 to 1.60) | .58 |
Advanced NSCLC | 0.91 (0.79 to 1.05) | .20 | 63 | 33 vs 64 | 33 vs 65 | 0.88 (0.76 to 1.02) | .08 | 0.89 (0.75 to 1.05) | .17 |
Multiple myeloma | 0.95 (0.85 to 1.06) | .34 | 29 | 23 vs 56 | 24 vs 61 | 0.94 (0.84 to 1.05) | .25 | 0.85 (0.70 to 1.03) | .10 |
Early-stage colon cancer | 1.03 (0.73 to 1.46) | .87 | 31 | 44 vs 63 | 44 vs 63 | 0.98 (0.69 to 1.40) | .92 | 0.99 (0.67 to 1.45) | .94 |
Advanced NHL | 1.20 (0.97 to 1.50) | .10 | 64 | 44 vs 60 | 33 vs 62 | 1.17 (0.94 to 1.45) | .17 | 1.31 (1.00 to 1.71) | .05 |
Advanced ovarian carcinoma | 1.61 (1.18 to 2.18) | .002 | 73 | 29 vs 69 | 34 vs 69 | 1.65 (1.21 to 2.24) | .002 | 1.48 (1.03 to 2.11) | .03 |
Advanced-stage prostate cancer | 1.21 (1.08 to 1.37) | .001 | 71 | 25 vs 67 | 21 vs 70 | 1.19 (1.05 to 1.35) | .008 | 1.19 (1.05 to 1.35) | .008 |
HR = hazard ratio; CI = confidence interval; SES = socioeconomic status; AA = African American; AML = acute myelogenous leukemia; NHL = non-Hodgkin lymphoma; SCLC = small cell lung cancer; NSCLC = non–small cell lung cancer.
Clinical prognostic factors are listed in Table 1.
Data were estimated on the basis of deaths after documented progression and adjusted for clinical prognostic factors.
Wald χ2 statistic. All statistical tests were two-sided.
Data are the percentage from high-income areas or from high-education areas.