Venetoclax-obinutuzumab for previously untreated chronic lymphocytic leukemia: 6-year results of the randomized phase 3 CLL14 study
Bibliographic record
Abstract
ABSTRACT: In the CLL14 study, patients with previously untreated chronic lymphocytic leukemia (CLL) and coexisting conditions were randomized to 12 cycles of venetoclax-obinutuzumab (Ven-Obi, n = 216) or chlorambucil-obinutuzumab (Clb-Obi, n = 216). Progression-free survival (PFS) was the primary end point. Key secondary end points included time-to-next-treatment (TTNT), rates of undetectable minimal residual disease (uMRD), overall survival (OS), and rates of adverse events. Patient reported outcomes of time until definitive deterioration (TUDD) in quality of life (QoL) were analyzed. At a median observation time of 76.4 months, PFS remained superior for Ven-Obi compared with Clb-Obi (median, 76.2 vs 36.4 months; hazard ratio [HR], 0.40; 95% confidence interval [CI], 0.31-0.52; P < .0001). Likewise, TTNT was longer after Ven-Obi (6-year TTNT, 65.2% vs 37.1%; HR, 0.44; 95% CI, 0.33-0.58; P < .0001). In the Ven-Obi arm, presence of del(17p), unmutated immunoglobulin heavy-chain variable region, and lymph node size of ≥5 cm were independent prognostic factors for shorter PFS. The 6-year OS rate was 78.7% in the Ven-Obi and 69.2% in the Clb-Obi arm (HR, 0.69; 95% CI, 0.48-1.01; P = .052). A significantly longer TUDD in global health status/QoL was observed in the Ven-Obi than in the Clb-Obi arm (median, 82.1 vs 65.1 months; HR, 0.70; 95% CI, 0.51-0.97). Follow-up-adjusted second primary malignancies incidence rates were 2.3 and 1.4 per 1000 patient-months in the Ven-Obi and Clb-Obi arm, respectively. The sustained long-term survival and QoL benefits support the use of 1-year fixed-duration Ven-Obi in CLL. This trial was registered at www.ClinicalTrials.gov as #NCT02242942.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".