Results of a phase III, randomized, double-blind, placebo-controlled trial of pegfilgrastim (PEG) in patients (pts) receiving first-line FOLFOX or FOLFIRI and bevacizumab (B) for colorectal cancer (CRC).
Bibliographic record
Abstract
LBA445 Background: The literature reports that adding biologics to chemotherapy (ctx) may increase the incidence of clinically significant neutropenia. This trial was conducted to evaluate the efficacy of PEG in reducing the incidence of febrile neutropenia (FN) in pts with locally advanced (LA) or metastatic (m)CRC receiving first-line treatment with either FOLFOX/B or FOLFIRI/B. Methods: Key eligibility: ≥ 18 years old; measurable, nonresectable CRC per RECIST 1.1. Pts were randomly assigned 1:1 to either placebo or 6 mg PEG ~24 h after ctx/B. The study treatment period included four Q2W cycles, but pts could continue their assigned regimen until progression. Pts were stratified by region (North America vs rest of world), stage (LA vs mCRC), and ctx (FOLFOX vs FOLFIRI). Estimated sample size (N = 800) was based on the expected incidence of grade 3/4 FN (primary endpoint) across the first 4 cycles of ctx/B, powered for PEG superiority over placebo. Other endpoints included overall response rate (ORR), progression-free survival (PFS), and overall survival (OS). Results: 845 pts were randomized (Nov 2009 to Jan 2012) and received study treatment; 783 pts completed 4 cycles of ctx/B. Median age was 61 years; 512 (61%) pts were male; 819 (97%) had mCRC; 414 (49%) received FOLFOX, and 431 (51%) received FOLFIRI. Grade 3/4 FN (first 4 cycles) for placebo vs PEG was 5.7% vs 2.4%; OR 0.41; p = 0.014. A similar incidence of other ≥ grade 3 adverse events was seen in both arms (28% placebo; 27% PEG). See Table for additional results. Conclusions: PEG significantly reduced the incidence of grade 3/4 FN in this pt population receiving standard ctx/B for CRC. Follow-up is ongoing. Clinical trial information: NCT00911170. [Table: see text]
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".