Bevacizumab Plus Chemotherapy as First-Line Treatment for Patients with Metastatic Colorectal Cancer: Results from a Spanish Observational Study
Bibliographic record
Abstract
Background: This observational study evaluated the efficacy and safety of treatment with bevacizumab plus chemotherapy until disease progression (PD) in Spanish patients with metastatic colorectal cancer (mCRC). Methods: This multicentre, retrospective, observational analysis included patients receiving bevacizumab plus fluoropyrimidine-based chemotherapy as first-line treatment for mCRC who then developed PD. All patients received treatment in hospital oncology departments and none received bevacizumab as part of a clinical trial. Patients discontinuing treatment with bevacizumab for reasons other than PD were excluded. The primary endpoint was PFS; secondary endpoints were overall response rate (ORR) and safety. Results: Overall, 165 patients were evaluable for analysis: median age 63.0 years; male/female 62%/38%; ECOG performance status 0/1/2 55%/43%/2%. Median duration of bevacizumab treatment was 8.7 months. ORR was 48.5% (6 complete and 74 partial responses) and disease control rate was 74%. Median progression-free survival (PFS) was 8.4 months (95% CI 7.2-9.6). Patients receiving oxaliplatin- or irinotecan-based regimens had median PFS of 9.2 and 7.7 months, respectively; those receiving treatment not containing either oxaliplatin or irinotecan had a median PFS of 6.1 months. KRAS status did not have a statistically significant effect on PFS (9.5 vs. 7.8 months for KRAS wild-type vs. mutant tumours, respectively; p=0.647) or ORR (44.8% vs. 52.6%, respectively; p=0.391). The most common grade 3/4 adverse events were: diarrhoea (7%), paraesthesia (7%), neutropenia (3%), cutaneous toxicity (2%), and thrombocytopenia (2%). Conclusions: Treatment with bevacizumab plus standard chemotherapy is an effective and well-tolerated option for patients with mCRC who continue treatment until PD.
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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) | 0.001 | 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) | 0.000 | 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".