Bevacizumab (BV) maintenance therapy significantly delays disease progression (PD) or death compared with placebo (PL) in the AVADO trial (BV + docetaxel [D] vs D + PL in 1st-line HER2-negative locally recurrent [LR] or metastatic breast cancer [mBC]).
Bibliographic record
Abstract
Abstract Abstract #903 Background: BV (Avastin®) is a monoclonal antibody to VEGF that significantly improved PFS and response rate when combined with 1st-line taxane chemotherapy (CTx) in two randomised phase III studies in patients (pts) with LR or mBC: E2100 (weekly paclitaxel ± BV) and double-blind, PL-controlled study AVADO (D ± two different BV doses). Preclinical data suggest that BV inhibits tumour neovascularisation and can limit tumour vascular regrowth. Both above trial protocols recommended BV use until PD, even after discontinuation of concomitant CTx. In the NO16966 trial in metastatic colorectal cancer, PFS was longer for pts continuing BV following cessation of CTx than for those where BV and CTx were stopped at the same time. We report results of an exploratory analysis of time to PD or death after cessation of D in pts in AVADO. Methods: AVADO compared BV 7.5 or 15mg/kg + D 100mg/m2 with PL + D in 736 pts with inoperable LR or mBC, ECOG PS 0–1 and adequate LVEF. D and BV/PL were administered q3w, with D given for up to 9 cycles and BV/PL continued until PD or unacceptable toxicity. Results: The table presents median time from discontinuation of D until PD or death in different subgroups in the AVADO study. Approximately 70% of pts in each arm discontinuing D went on to receive at least one dose of BV or PL before PD. Conclusions: Continuation of single-agent BV at either dose after discontinuation of D significantly delayed PD or death compared with single-agent PL. These results support the hypothesis that BV may inhibit tumour neovascularisation and progression following CTx and suggests that clinical benefit may be maximised by treatment with BV until progression. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 903.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".