Up to 8-year follow-up from RESONATE-2: first-line ibrutinib treatment for patients with chronic lymphocytic leukemia
Bibliographic record
Abstract
We report long-term follow-up from the RESONATE-2 phase 3 study of the once-daily Bruton's tyrosine kinase inhibitor ibrutinib, which is the only targeted therapy with significant progression-free survival (PFS) and overall survival (OS) benefit in multiple randomized chronic lymphocytic leukemia (CLL) studies. Patients (≥65 years) with previously untreated CLL, without del(17p), were randomly assigned 1:1 to once-daily ibrutinib 420 mg until disease progression/unacceptable toxicity (n = 136) or chlorambucil 0.5-0.8 mg/kg ≤12 cycles (n = 133). With up to 8 years of follow-up (range, 0.1-96.6 months; median, 82.7 months), significant PFS benefit was sustained for ibrutinib vs chlorambucil (hazard ratio [HR], 0.154; 95% confidence interval [CI], 0.108-0.220). At 7 years, PFS was 59% for ibrutinib vs 9% for chlorambucil. PFS benefit was also observed for ibrutinib- vs chlorambucil-randomized patients with high-risk genomic features: del(11q) (HR, 0.033; 95% CI, 0.010-0.107) or unmutated immunoglobulin heavy chain variable region (HR, 0.112; 95% CI, 0.065-0.192). OS at 7 years was 78% with ibrutinib. Prevalence of adverse events (AEs) was consistent with previous 5-year follow-up. Ibrutinib dosing was held (≥7 days) for 79 patients and reduced for 31 patients because of AEs; these AEs resolved or improved in 85% (67 of 79) and 90% (28 of 31) of patients, respectively. With up to 8 years of follow-up, 42% of patients remain on ibrutinib. Long-term RESONATE-2 data demonstrate sustained benefit with first-line ibrutinib treatment for CLL, including for patients with high-risk genomic features. These trials were registered at www.clinicaltrials.gov as #NCT01722487 and #NCT01724346.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".