Comparison of Perioperative Chemotherapy versus Postoperative Chemoradiotherapy for Operable Stomach Cancer: A Western Canadian Province Experience
Bibliographic record
Abstract
Background: The standard approaches for resectable stomach cancer are postoperative chemoradiotherapy (PCR) or perioperative chemotherapy (PC). Limited evidence is available regarding the superiority of one of the two approaches. We aimed to compare the survival of patients with operable stomach cancer who were treated with PC or PCR. Methods: In this retrospective cohort study, patients with operable stomach cancer diagnosed between 2005–2015 in the province of Saskatchewan were identified and, based on type of treatment, were placed into PCR and PC groups. A Cox proportional multivariate analysis was performed to assess independent prognostic variables, including survival advantage of PC over PCR. Results: A total of 88 eligible patients with a median age of 66 (56–71) and a male to female ratio of 1:0.44 were identified. Seventy-three (83%) patients had pathologically node positive disease. Sixty-seven (76%) patients received PCR, while 21 (24%) patients received PC. The median overall survival of the whole group was 34 months, with 38 months (95% CI 24.6–51.3) in the PCR group vs. 30 months (14.3–45.7) in the PC group (p = 0.29). Median relapse-free survival was 34 months (20.7–47.3) in the PCR group vs. 23 months (6.7–39.3) in the PC group (p = 0.20). Toxicities were comparable. On multivariate analysis, T ≥ 3 tumor (HR, 3.57 (1.39–8.56)), neutrophil to lymphocyte ratio (LNR) > 2.8 (HR, 1.85 (1.05–3.25)), and positive resection margins (HR, 1.89 (1.06–3.37)) were independently correlated with inferior survival. Conclusions: This well-designed population based cohort study suggests a lack of survival benefit of PC over PCR. Both treatment options remain viable approaches for resectable stomach cancer.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".