Comorbidity and Survival Disparities Among Black and White Patients With Breast Cancer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
CONTEXT: Reasons for the shorter survival of black breast cancer patients compared with their white counterparts are not completely understood. OBJECTIVE: To evaluate the role of comorbidity in this racial disparity among breast cancer patients. DESIGN, SETTING, AND PATIENTS: Historical cohort from the Henry Ford Health System (a large comprehensive health system in Detroit, Mich) followed up for a median of 10 years. Patients (n = 906) included 264 black (29.1%) and 642 white (70.9%) women diagnosed as having breast cancer between 1985 and 1990. Detailed comorbidity data (268 comorbidities) and study data were abstracted from medical records and institutional, Surveillance, Epidemiology, and End Results, and Michigan State registries. Associations were analyzed with logistic and Cox regression. MAIN OUTCOME MEASURES: Breast cancer recurrence/progression and survival to death from all, breast cancer, and competing (non-breast cancer) causes. RESULTS: Of blacks, 64 (24.9%) died of breast cancer and 95 (37.0%) died of competing causes. Comparable data for whites were 115 (18.3%) and 202 (32.1%). Blacks had worse all-cause survival (hazard ratio [HR], 1.34; 95% confidence interval [CI], 1.11-1.62), breast cancer-specific survival (HR, 1.47; 95% CI, 1.08-2.00), and competing-causes survival (HR, 1.27; 95% CI, 1.00-1.63). A total of 77 adverse comorbidities were associated with reduced survival. Adverse comorbidity count was associated with all-cause (adjusted HR, 1.29; 95% CI, 1.19-1.40) and competing-causes survival but was not associated with recurrence/progression or breast cancer-specific survival. At least 1 adverse comorbidity was observed in 221 (86.0%) blacks and 407 (65.7%) whites (odds ratio, 3.20; 95% CI, 2.17-4.72). Comparisons of unadjusted and comorbidity-adjusted HRs indicated that adverse comorbidity explained 49.1% of all-cause and 76.7% of competing-causes survival disparity. Diabetes and hypertension were particularly important in explaining disparity. CONCLUSIONS: More black breast cancer patients die of competing causes than of breast cancer. Effective control of comorbidity in black breast cancer patients should help improve life expectancy and lead to a reduction in survival disparities.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it