Factors Associated with Delayed Time to Adjuvant Chemotherapy in Stage iii Colon Cancer
Bibliographic record
Abstract
BACKGROUND: Adjuvant chemotherapy started more than 56 days after colon cancer resection has been associated with lesser overall survival among patients with stage iii colon cancer. The objective of the present population-based study was to determine, in referred patients with resected stage iii colon cancer, factors associated with delayed time to adjuvant chemotherapy (ttac), defined as more than 56 days from the date of surgery. METHODS: Eligible patients had been diagnosed with stage iii colon cancer and had received at least 1 cycle of adjuvant chemotherapy at one of the four regional cancer treatment sites during 2008-2009. Prognostic and treatment information was prospectively collected through the BC Cancer Agency's GI Cancers Outcomes Unit, and Charlson comorbidity score was retrospectively determined by chart review. Chi-square and Wilcoxon rank-sum tests were used to measure associations between the timing of adjuvant chemotherapy and select prognostic and treatment variables. RESULTS: Median ttac from surgery for the 395 included patients was 58 days, with 54% of the patients receiving adjuvant chemotherapy beyond the recommended 56 days. On multivariate analysis, only treatment at the highest-volume site was independently associated with delayed ttac. Comorbidity index, age, performance status, T stage, tumour location, and oral chemotherapy (compared with intravenous) were not independently associated with delayed ttac. Delays were observed during each interval associated with the patient's transition from surgery to first cycle of adjuvant chemotherapy. CONCLUSIONS: More than half the patients failed to receive adjuvant chemotherapy within the recommended ttac of 56 days. Delayed ttac was associated with process-related delays rather than with patient- or disease-related factors. Efforts to improve timely referral, triage of consultations, and chemotherapy wait lists are required.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".