Trends and Disparities in the Receipt of Treatment for Colon Cancer in Older Adults in Alberta, Canada
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Adults aged ≥ 70 years represent approximately half of all patients diagnosed with colon cancer, but undertreatment in this population persists. Recent guidelines have aimed to reduce age-related biases in the treatment of colon cancer. We evaluated the age-related disparities in the receipt of curative-intent surgical and medical treatment of colon cancer, and their changes over time. METHODS: This was a population-based cohort study of adult patients diagnosed with colon adenocarcinoma between 2010 and 2018 in Alberta, Canada. Surgery receipt was assessed in patients with stage I-III disease, while systemic therapy receipt was assessed in stage III to IV disease. Patients were stratified by age at diagnosis (< 70 and ≥ 70 years). Cox proportional hazard models were used to evaluate interactions between age and treatment status, and their associations with cancer-specific survival (CSS). Time trends associated with treatment receipt were identified with multivariable logistic regression. RESULTS: Among the 10,838 patients included, 48% were aged ≥ 70 years. For surgery recipients, 5-year CSS was 0.90 (95% CI, 0.88-0.91) and 0.79 (95% CI, 0.77-0.80) for patients < 70 and patients ≥ 70 years of age respectively. Systemic therapy recipients aged < 70 years had a 5-year CSS of 0.57 (95% CI, 0.55-0.60), while individuals aged ≥ 70 years had a 5-year CSS of 0.51 (95% CI, 0.49-0.55). The association between treatment receipt and CSS was independent of age for both treatment modalities (P = .17). Treatment receipt trends remained consistent between 2010 and 2018. CONCLUSION: Despite evolving practice guidelines and non-age-dependent survival benefits, disparities persist in the receipt of treatment for older adults with colon adenocarcinoma.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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