Prognostic impact of tumour laterality in early-stage colon cancer: A population-based study.
Bibliographic record
Abstract
e15148 Background: Recent data has suggested that disease biology and outcome of colon cancer may differ between right-sided and left-sided tumours. Here we explore differences in laterality based on disease characteristics and outcomes in a population-based cohort of early-stage colon cancer. Methods: Electronic records of treatment were linked to the Ontario Cancer Registry to identify all patients with colon cancer in 2002-2008. The study population included a 25% random sample of all patients with resected stage 0-III disease. Right-sided colon cancer was defined as any tumor arising in the cecum, ascending colon, hepatic flexure or transverse colon. Left-sided colon cancer was defined as any tumor arising from the splenic flexure, descending colon, sigmoid colon or rectosigmoid colon. Log binomial regression was used to identify factors associated with laterality. Cox models were used to explore the association between laterality and overall (OS) and cancer-specific (CSS) survival. Results: Among the study cohort (n = 6391) median age was 72 and 52% (3307/6391) had right-sided disease. Stage distribution was 2% (98/6391) stage 0, 17% (1091/6391) stage I, 38% (2446/6391) stage II, and 43% (2756/6391) stage III. Patients with right-sided colon cancer were more likely to be older (p < 0.001), female (p < 0.001) and have greater co-morbidity (p = 0.001). Right-sided cancer was more likely to be T4 (19% vs 16%, p = 0.001) and poorly differentiated (21% vs 10%, p < 0.001) but less likely to be node positive (42% vs 45%, p = 0.029) compared to left-sided disease. In adjusted analyses there was no difference in long-term survival for right-sided compared to left-sided colon cancer: OS HR 1.00 (95%CI, 0.92-1.08); CSS HR 1.00 (0.91-1.10). These results were consistent when the survival analyses were restricted to stage III disease: OS HR 1.03 (95%CI 0.93-1.14); CSS HR 1.10 (0.97-1.24). Conclusions: In this population-based cohort of early-stage resected colon cancer disease laterality was not associated with long-term survival.
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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 | 0.001 |
| 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) | 0.002 | 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".