Does geography influence the treatment and outcomes of colorectal cancer in the province of Manitoba?
Bibliographic record
Abstract
Background: Colorectal cancer (CRC) is the third most common cancer in Manitoba. We sought to determine if regional differences exist for treatments, wait times, and quality measures for Manitobans with CRC. Methods: A population-based historical cohort analysis for patients diagnosed with CRC between 2004 and 2006 was undertaken using administrative databases. Results: 2086 patients were diagnosed with Stage I-IV CRC between 2004 and 2006. Diagnosis wait times and treatment wait times were longer in Winnipeg than rural Manitoba. There were no differences between Winnipeg and rural Manitoba in rates of total colonic examination, adequate lymphadenectomy, and consultations with oncologists. Rural patients with rectal cancer experienced higher local recurrence and mortality rates than urban patients. Conclusion: This study establishes population-based benchmarks for the quality of CRC therapy in Manitoba. Minimal geographic differences exist for quality measures. For rectal cancer local recurrence, rural patients represent an important area for quality improvement initiatives.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".