Survival impact of surgical resection of primary tumor (SRPT) in metastatic colorectal cancer (mCRC): A population-based cohort study.
Bibliographic record
Abstract
456 Background: Currently there is very low quality evidence available regarding survival benefit of SRPT in patients with mCRC. In the absence of randomization the reported benefit may reflect selection of younger and healthier patients with good performance status (PS). We have undertaken a retrospective cohort study to determine the survival benefit of SRPT in mCRC. Methods: A cohort of 1,378 patients with mCRC diagnosed between 1992-2005 in the province of Saskatchewan was evaluated. Kaplan-Meier curves were used to determine survival. Log-Rank test was done to compare survival between the two groups. Cox regression model was used to adjust survival for important prognostic variables. Results: Median age was 70 yrs (22-98) and M:F was 57:43. 27% had ECOG PS of >1 and 62% had a comorbid illness. 944 (69%) patients underwent SRPT. Among 1,378 patients, 40% were operated for tumor related symptoms (33% obstruction, 6% perforation, and 4% heavy bleeding, mutually nonexclusive). Median follow up time for whole cohort was 7.1 months (inter-quartile range 2.5-17.5). 42.3% received chemotherapy and 19.1% received 2nd generation therapy. Median survival of patients who received chemotherapy was 15.9 months. Patients who underwent SRPT had median overall survival of 18.3 months vs. 8.4 months if they did not have surgery (p<0.0001).On multivariate analysis 5FU-based chemotherapy (HR 0.53; 95%CI: 0.45-0.61), metastesectomy (HR 0.54; 95%CI: 0.45-0.64), SRPT (HR 0.55; 95%CI: 0.48-0.62), and 2nd generation chemotherapy (HR 0.65; 95%CI: 0.54-0.77) were correlated with a better survival whereas, elevated CEA level (1.56; 95%CI: 1.30-1.90), leukocytosis (HR 1.54; 95%CI: 1.33-1.80), ECOG PS >1 (HR 1.48; 95%CI: 1.30-1.69), low albumin (HR 1.44; 95%CI: 1.26-1.64), age ≥ 65 yrs (HR 1.21; 95%CI: 1.10-1.38), anemia (HR 1.16; 95%CI: 1.03-1.31), and symptomatic disease (HR 1.12; 95%CI: 1.0-1.26) were correlated with poor survival. Comorbid illness, smoking, and gender did not correlate with survival. Conclusions: This is the first large cohort study that reveals that SRPT in patients with mCRC improves survival independent of chemotherapy, age, functional status and comorbid illness.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".