The impact of driving time, distance, and socioeconomic factors on outcomes of patients with locally advanced rectal cancer
Bibliographic record
Abstract
Objectives: Cancer patients experience disparities due to socioeconomic status (SES) factors. We assessed the impact of SES factors on outcomes in patients with locally advanced rectal cancer (LARC) who received neoadjuvant chemoradiation (nCRT) and surgery (Sx) in 3 Canadian provinces. Study design: This study was a multi-institutional retrospective chart review. Methods: Associations among community characteristics (2016 Canadian Census data), distance and time to the cancer center (mapping software), and outcomes were evaluated using the CHORD multi-institutional database. Results: 1,064 patients were included. Median age 62, 68% male, 15% lived in a rural community, 19% with median community household income >$50,000 CAD, median community proportion with post-secondary education 66%, 12% lived >100km away, and 18% lived >1 h away.Factors predictive of worse disease-free survival (DFS) and overall survival (OS) in univariate analysis included driving time >1 h, median community income ≤$50,000 CAD, driving distance >100km, and lower median community proportion with post-secondary education. Driving time >1 h remained significant in multivariate analysis for worse DFS (HR 1.47; 95% CI 1.14-1.90; p = 0.003) and OS (HR 1.60, 95% CI 1.19-2.16; p = 0.002). Conclusion: Outcomes of patients with LARC undergoing nCRT are negatively associated with increased driving time to the cancer centre.
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How this classification was reachedexpand
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".