Comparing Time to Diagnosis and Treatment Between Younger and Older Adults With Colorectal Cancer: A Population-Based Study
Bibliographic record
Abstract
BACKGROUND & AIMS: Younger adults (aged <50 years) with colorectal cancer (CRC) may have prolonged delays to diagnosis and treatment that are associated with adverse outcomes. We compared delay intervals by age for patients with CRC in a large population. METHODS: This was a population-based study of adults diagnosed with CRC in Ontario, Canada, from 2003 to 2018. We measured the time between presentation and diagnosis (diagnostic interval), diagnosis and treatment start (treatment interval), and the time from presentation to treatment (overall interval). We compared interval lengths between adults aged <50 years, 50 to 74 years, and 75 to 89 years using multivariable quantile regression. RESULTS: Included were 90,225 patients with CRC. Of these, 6853 patients (7.6%) were aged <50 years. Younger patients were more likely to be women, present emergently, have stage IV disease, and have rectal cancer compared with middle-aged patients. Factors associated with significantly longer overall intervals included female sex (8.7 days; 95% confidence interval [CI], 6.6-10.9 days) and rectal cancer compared with proximal colon cancer (9.8 days; 95% CI, 7.4-2.2 days). After adjustment, adults aged <50 years had significantly longer diagnostic intervals (4.3 days; 95% CI. 1.3-7.3 days) and significantly shorter treatment intervals (-4.5 days; 95% CI, -5.3 to -3.7 days) compared with middle-aged patients. However, there was no significant difference in the overall interval (-0.6 days; 95% CI, -4.3 to 3.2 days). In stratified models, younger adults with stage IV disease who presented emergently and patients aged >75 years had longer overall intervals. CONCLUSIONS: Younger adults present more often with stage IV CRC but have overall similar times from presentation to treatment as screening-eligible older adults.
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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 | 0.000 | 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 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".