Phase IV study of first-line bevacizumab plus irinotecan and infusional 5-FU/LV in patients with metastatic colorectal cancer: AVIRI
Bibliographic record
Abstract
4068 Background: Bevacizumab (BEV) is a monoclonal antibody that inhibits tumour angiogenesis by targeting VEGF. In a phase III trial (AVF2107g), BEV significantly improved overall (OS) and progression-free survival (PFS) when combined with first-line irinotecan plus bolus 5-fluorouracil (5-FU)/leucovorin (LV) (IFL) in patients with metastatic colorectal cancer (mCRC). A multicentre, open-label trial is being conducted to evaluate the efficacy and safety of first-line BEV in combination with irinotecan and infusional 5-FU (FOLFIRI), a widely used first-line chemotherapy (CT) regimen. Methods: Patients had to have: mCRC; no surgery within 28 days; no prior CT for metastatic disease; ECOG PS 0/1, adequate organ function; no CNS metastases. CT consisted of a minimum of six cycles of irinotecan plus infusional 5-FU/LV according to the classical FOLFIRI regimen; variations like the simplified FOLFIRI and the weekly regimen were also allowed. BEV 5mg/kg was given on day 1 with CT and then every 2 weeks until disease progression. Tumour assessments were performed every 3 months during the first 12 months and every 4 months thereafter. Safety was assessed at the time of CT administration and every 4 weeks thereafter. The primary objective was PFS; secondary objectives included safety, overall response rate, time to response, duration of response and OS. Results: A total of 209 patients were enrolled at 31 centres worldwide, between April and November 2005. An interim analysis showed that the safety profile of BEV plus FOLFIRI appeared to be similar to that reported for Avastin plus IFL. The 44% overall response rate and 90% disease control rate are at least equivalent to that reported in comparable trials. Additionally, the 6 months PFS estimate of 82% was superior to that reported in AVF2107. Mature PFS data will be presented. Conclusions: AVIRI is the largest clinical trial, to date, to report data for BEV in combination with FOLFIRI in first-line patients with mCRC. The safety profile appears consistent with that observed in other BEV trials in mCRC, while the preliminary efficacy data suggest that this regimen is as active as the bolus regimen. No significant financial relationships to disclose.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".