Characteristics of patients with stage III colon adenocarcinoma who fail to receive guideline‐recommended treatment
Bibliographic record
Abstract
BACKGROUND: Many patients with stage III colon adenocarcinoma do not receive adjuvant chemotherapy despite the proven survival advantage it offers. To enhance the provision of optimal cancer care, patient characteristics associated with not receiving guideline-adherent treatment must be identified among patients with operable, stage III colon adenocarcinoma. METHODS: This was a population-based, retrospective study of all patients who underwent surgery for stage III colon adenocarcinoma diagnosed from 2002 through 2005 in Alberta, Canada. Demographic and treatment information captured in the Alberta Cancer Registry were linked to: 1) hospital discharge data to determine comorbidities, 2) electronic medical records to identify consults with oncologists, and 3) the 2001 Canadian census for neighborhood-level socioeconomic data. Multivariate log-binomial regression models were used to identify patient characteristics that were associated with not having a consultation with a medical oncologist and not receiving adjuvant chemotherapy. RESULTS: Of the 772 patients who underwent surgery for stage III colon adenocarcinoma and met the eligibility criteria, 618 patients (80%) had a consultation with an oncologist. Of those, 388 patients (63%) initiated adjuvant chemotherapy within 84 days of their surgery. Patient characteristics that were associated with not having a consultation with an oncologist were neighborhood income, geography, age, and comorbidities. Of those patients who had a consultation, after adjusting for comorbidities, only older age was related to not receiving adjuvant chemotherapy. CONCLUSIONS: The current results indicated that the proportion of patients with stage III colon adenocarcinoma who did not receive treatment according to evidence-based guidelines was appreciable. The authors concluded that the association of this failure with patient age, geography, and income is concerning and that evaluation of referral patterns and interventions are needed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".