Impact of M1a and M1b staging in patients (pts) with metastatic colorectal cancer.
Bibliographic record
Abstract
3590 Background: In 2009, pts with M1 colorectal cancer were divided into two subsets for the American Joint Committee on Cancer (AJCC) 7th edition. Pts with metastases (mets) confined to one organ or site at initial diagnosis became stage M1a while multiple sites or peritoneal mets became M1b. The objectives of the study are to evaluate the impact of site of mets and M1a/b staging among pts with M1 colorectal cancer. Methods: All pts referred to the BC Cancer Agency from 1999-2007 with newly diagnosed M1 colon or rectal cancer were included. Demographic, treatment, and outcome data were prospectively collected. The prognostic impact of individual sites of mets was assessed by hazard ratio estimates from univariate Cox models. Multivariable Cox proportional-hazards models were used to determine variables associated with overall survival in the entire cohort and in those undergoing resection of their primary tumor. Results: 2,049 pts with M1 disease were included. Median age was 66 years; 71% had colonic origin; 70% had their primary tumor resected; and 69% received chemotherapy. In univariate analysis, solitary mets were associated with improved survival. In multivariable analysis, M1a/b status still had significant prognostic effect. The effect remained significant in the subgroup analysis of pts with resected primary tumors when histology, T and N stage were included. Conclusions: Pts with solitary mets, including peritoneum, have superior overall survival as compared to those with multiple sites of mets. AJCC 7th edition staging that includes M1a/b provides significant prognostic information and should be considered in clinical practice and trials of pts with M1 disease who otherwise have few prognostic factors. [Table: see text]
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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 | 0.000 |
| 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".