Result of interim analysis of overall survival in the GCIG ICON7 phase III randomized trial of bevacizumab in women with newly diagnosed ovarian cancer.
Bibliographic record
Abstract
LBA5006 Background: ICON7 was designed to investigate safety and efficacy of adding bevacizumab to standard chemotherapy in women with newly diagnosed ovarian cancer. Analyses of mature progression-free survival (PFS) data suggest a PFS benefit from bevacizumab (p=0.0041, a 15% improvement at 12 months and 1.5 months overall), and a trend for overall survival (OS) improvement, hazard ratio (HR)=0.81, 95%CI=0.63 to 1.04, p =0.098. The final analysis of OS will be performed when 715 deaths have occurred. An interim analysis with at least 365 deaths was requested by regulatory authorities considering licensing. This was approved by the independent data monitoring and steering committees. A subgroup analysis for poor prognosis patients (FIGO III debulked to >1.0cm or FIGO IV with debulking) was performed in an exploratory manner. Methods: Eligible women with high-risk early (FIGO stage I or IIa (grade 3 or clear cell), capped ≤10%) or advanced (stage IIb-IV) epithelial ovarian, primary peritoneal or fallopian tube cancer were randomised (1:1) to 6 cycles of 3 weekly chemotherapy (carboplatin AUC 5 or 6 and paclitaxel 175mg/m2) alone, or the same chemotherapy given concurrently with bevacizumab (7.5mg/kg) for 5 or 6 cycles followed by continued 3-weekly single-agent bevacizumab for 12 additional cycles or until progression whichever was the earlier. Results: From December 2006 to February 2009, 1,528 women were randomised from 263 centres in 7 GCIG groups. Baseline characteristics were balanced between arms: median age (57 years); ECOG PS 0-1 (47%); high-risk early-stage disease (9%); poor prognosis patients (30%); histology (69% serous, 8% endometrioid, 8% clear cell). Overall OS analysis: median follow-up 28 months, 377 deaths (200 standard, 177 bevacizumab), HR=0.84, 95%CI=0.69 to 1.03, p=0.099. Exploratory subgroup analysis of poor prognosis patients: 188 deaths (109 standard, 79 bevacizumab), HR=0.64, 95%CI=0.48 to 0.85, p=0.0022 with p=0.015 for test for interaction (treatment/risk group). Conclusions: The overall trend for improvement in OS from bevacizumab continues with a numerically larger benefit in poor prognosis patients.
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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 | 0.019 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".