Pre-operative Targeted Therapies in Patients with Hepatic Colorectal Cancer Metastases—Bevacizumab versus Cetuximab
Bibliographic record
Abstract
Complete resection offers the greatest chance of cure for patients with isolated colorectal cancer liver metastases. While few patients present as candidates for curative surgery, induction chemotherapy may make patients with initially unresectable disease amenable to surgery. Even those whose disease is potentially curable at presentation may benefit from pre-operative neoadjuvant systemic therapy, particularly those deemed at high risk for relapse. Biological targeted therapies such as bevacizumab and cetuximab improve on standard systemic chemotherapeutic regimens in incurable patients; the rationale for their pre-operative use is also strong. Uncertainties remain as to which (if either) agent to preferentially use and their ultimate role in this setting must be better defined. This article reviews the concepts behind, and current data on, the use of pre-operative cetuximab and bevacizumab in patients with hepatic colorectal cancer metastases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 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 teacher head, 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".