Impact of perioperative chemotherapy on survival outcomes among patients with metastatic colorectal cancer to the liver
Bibliographic record
Abstract
Aim: Compare overall survival (OS) between adjuvant and neoadjuvant chemotherapy and analyze the effect of chemotherapy on OS. Materials & methods: National Cancer Database was queried for patients diagnosed with metastatic colorectal adenocarcinoma with isolated liver metastases between 2004 and 2016. We evaluated the OS and chemotherapy effect using Kaplan-Meier estimates and multivariable cox regression analyses. Results: Total 6883 patients with metastatic colorectal cancer and liver metastases were included, of which 6042 patients were treated with surgery and chemotherapy and 841 patients were treated with surgery only. Patients who received neoadjuvant chemotherapy had better OS compared with patients who received adjuvant chemotherapy. Conclusion: Patients with colorectal cancer with isolated liver metastases who were treated with neoadjuvant chemotherapy had better OS compared with adjuvant chemotherapy.
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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 | 0.003 |
| 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".