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Record W4407162998 · doi:10.1056/nejmoa2409804

Fixed-Duration Acalabrutinib Combinations in Untreated Chronic Lymphocytic Leukemia

2025· article· en· W4407162998 on OpenAlexaff
Jennifer R. Brown, John F. Seymour, Wojciech Jurczak, Andrew Aw, Małgorzata Wach, Árpád Illés, Alessandra Tedeschi, Carolyn Owen, Alan P Skarbnik, Daniel Lysák, Ki-Seong Eom, Martin Šimkovič, Miguel Arturo Pavlovsky, Arnon P. Kater, Barbara Eichhorst, Kara Miller, Veerendra Munugalavadla, Ting Yu, Marianne de Borja, Paolo Ghia

Bibliographic record

VenueNew England Journal of Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsAstraZeneca (Canada)University of CalgaryUniversity of Ottawa
FundersAstraZeneca
KeywordsChronic lymphocytic leukemiaMedicineDuration (music)Internal medicineLeukemiaOncologyPhysics

Abstract

fetched live from OpenAlex

BackgroundWhether fixed-duration acalabrutinib–venetoclax (with or without obinutuzumab) would result in better progression-free survival than chemoimmunotherapy in patients with untreated chronic lymphocytic leukemia (CLL) is unknown. MethodsIn this phase 3, open-label trial, we included patients 18 years of age or older who had an Eastern Cooperative Oncology Group performance-status score of 0 to 2 (range, 0 to 5, with higher numbers indicating greater disability) and who did not have a 17p deletion or TP53 mutation. Patients were randomly assigned, in a 1:1:1 ratio, to receive acalabrutinib–venetoclax (acalabrutinib, cycles 1 to 14; venetoclax, cycles 3 to 14), acalabrutinib–venetoclax–obinutuzumab (as above, plus obinutuzumab, cycles 2 to 7), or chemoimmunotherapy with the investigator’s choice of fludarabine–cyclophosphamide–rituximab or bendamustine–rituximab (cycles 1 to 6). The primary end point was progression-free survival (acalabrutinib–venetoclax vs. chemoimmunotherapy) in the intention-to-treat population, assessed by blinded independent central review. Research Summary Fixed-Duration Acalabrutinib Combinations in Untreated CLL ResultsA total of 867 patients underwent randomization: 291 were assigned to receive acalabrutinib–venetoclax, 286 acalabrutinib–venetoclax–obinutuzumab, and 290 chemoimmunotherapy (of whom 143 received fludarabine–cyclophosphamide–rituximab and 147 bendamustine–rituximab). The median age of the patients was 61 years (range, 26 to 86), 64.5% were men, and 58.6% had unmutated IGHV. Estimated 36-month progression-free survival at a median follow-up of 40.8 months was 76.5% with acalabrutinib–venetoclax, 83.1% with acalabrutinib–venetoclax–obinutuzumab, and 66.5% with chemoimmunotherapy (hazard ratio for disease progression or death with acalabrutinib–venetoclax vs. chemoimmunotherapy, 0.65 [95% confidence interval {CI}, 0.49 to 0.87], P=0.004; for the comparison of acalabrutinib–venetoclax–obinutuzumab with chemoimmunotherapy, P<0.001). Estimated 36-month overall survival was 94.1% with acalabrutinib–venetoclax, 87.7% with acalabrutinib–venetoclax–obinutuzumab, and 85.9% with chemoimmunotherapy. Neutropenia, the most common adverse event of clinical interest of grade 3 or higher, was reported in 32.3%, 46.1%, and 43.2% in the three groups, respectively; death from coronavirus disease 2019 was reported in 10, 25, and 21 patients in the three groups. ConclusionsAcalabrutinib–venetoclax with or without obinutuzumab significantly prolonged progression-free survival as compared with chemoimmunotherapy in fit patients with previously untreated CLL. (Funded by AstraZeneca; AMPLIFY ClinicalTrials.gov number, NCT03836261.)

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.016
GPT teacher head0.324
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations103
Published2025
Admission routes1
Has abstractyes

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