Brentuximab Vedotin plus Chemotherapy in North American Subjects with Newly Diagnosed Stage III or IV Hodgkin Lymphoma
Bibliographic record
Abstract
Abstract Purpose: To evaluate safety and efficacy outcomes for subjects on the ECHELON-1 study treated in North America (NA). Patients and Methods: ECHELON-1 is a global, open-label, randomized phase III study comparing doxorubicin, vinblastine, and dacarbazine in combination with brentuximab vedotin (A+AVD) versus ABVD (AVD + bleomycin) as first-line therapy in subjects with stage III or IV classical Hodgkin lymphoma (cHL; NCT01712490). Subjects were randomized 1:1 to receive A+AVD or ABVD intravenously on days 1 and 15 of each 28-day cycle for up to 6 cycles. Results: The NA subgroup consisted of 497 subjects in the A+AVD (n = 250) and ABVD (n = 247) arms. Similar to the primary analysis based on the intent-to-treat population, the primary endpoint [modified progression-free survival (PFS) per independent review] demonstrated an improvement among subjects who received A+AVD compared with ABVD (HR = 0.60; P = 0.012). For PFS, the risk of progression or death was also reduced (HR = 0.50; P = 0.002). Subsequent anticancer therapies were lower in the A+AVD arm. Grade 3 or 4 adverse events (AEs) were more common, but there were fewer study discontinuations due to AEs in the A+AVD arm as compared with ABVD. Noted differences between arms included higher rates of febrile neutropenia (20% vs. 9%) and peripheral neuropathy (80% vs. 56%), but lower rates of pulmonary toxicity (3% vs. 10%) in subjects treated with A+AVD versus ABVD. Conclusions: The efficacy benefit and manageable toxicity profile observed in the NA subgroup of ECHELON-1 support A+AVD as a frontline treatment option for patients with stage III or IV cHL.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".