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Record W4389229579 · doi:10.1182/blood-2023-178698

A Matching-Adjusted Indirect Comparison of Acalabrutinib with and without Obinutuzumab Versus Zanubrutinib in Treatment-Naïve Chronic Lymphocytic Leukemia

2023· article· en· W4389229579 on OpenAlexaff
John N. Allan, Adam S. Kittai, Dan James, Helen Ridge, Miguel Miranda, Alan Yong, Fady Fam, Jack Roos, Vikram Shetty, Matthew S. Davids, Alan P Skarbnik

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsAstraZeneca (Canada)
Fundersnot available
KeywordsChronic lymphocytic leukemiaMedicineInternal medicineObinutuzumabOncologyRandomized controlled trialProportional hazards modelLeukemia

Abstract

fetched live from OpenAlex

Introduction The second-generation Bruton tyrosine kinase inhibitors acalabrutinib (acala) and zanubrutinib (zanu) have not been compared with each other in a head-to-head randomized controlled trial (RCT). Acala with and without obinutuzumab (obin) was evaluated in the ELEVATE-TN RCT in treatment-naïve patients with chronic lymphocytic leukemia (CLL). Zanu was evaluated in treatment-naïve patients with CLL/small lymphocytic leukemia (SLL) in cohorts 1 and 2 of the SEQUOIA RCT. We used an unanchored matching-adjusted indirect comparison (MAIC) to compare the efficacy and safety of acala ± obin versus zanu in patients with treatment-naïve CLL/SLL without del(17p). Datasets were derived from comprehensive individual patient data (IPD) from ELEVATE-TN and published aggregate data from cohort 1 in SEQUOIA. Methods In this unanchored MAIC, we weighted IPD for the acala + obin and acala monotherapy arms from ELEVATE-TN to match zanu baseline data from SEQUOIA. We excluded patients with del(17p) in ELEVATE-TN to match cohort 1 in SEQUOIA, which excluded patients with del(17p). Patients were matched based on variables considered prognostic and/or predictive of investigator-assessed progression-free survival (INV-PFS) in an exploratory multivariate Cox-regression analysis of ELEVATE-TN. These were age, ECOG status, Binet stage, bulky disease, B2 microglobulin, cytopenia, del(11q), trisomy 12, IGHV status,and TP53 mutation. The efficacy analysis assessed INV-PFS in randomized patients (acala + obin, n = 162; acala monotherapy, n = 163; zanu, n = 241) using the Oct 2021 data cut-off (DCO) for ELEVATE-TN and the Oct 2022 DCO for SEQUOIA (median follow-up 58 versus 44 months). Pseudo-IPD for INV-PFS for zanu were obtained from Kaplan-Meier curves. The safety analysis assessed the incidence of adverse events (AEs) and reported the odds ratios (ORs) of AEs in treated patients (acala + obin, n = 162; acala monotherapy, n = 162; zanu, n = 240). To compare the incidence of AEs, the ELEVATE-TN Sep 2020 DCO was used to match the median follow-up from the SEQUOIA Oct 2022 DCO (47 versus 44 months). Results In the efficacy analysis, the acala + obin and acala monotherapy effective sample sizes (ESSs) post-matching were 124 (76%) and 105 (64%), respectively. Matching had little impact on acala + obin and acala monotherapy INV-PFS (Figure 1). Post-matching, 36-month INV-PFS was higher with acala + obin (95%; 95% CI: 90-97) than with zanu (84%; 95% CI: 79-88). The MAIC-weighted Cox hazard ratio (HR) found INV-PFS to be superior with acala + obin versus zanu (HR: 0.41; 95% CI: 0.23-0.74; Figure 1). No evidence of a difference between acala monotherapy post-matching and zanu was found when looking at 36-month INV-PFS (86%; 95% CI: 78-91 versus 84%; 95% CI: 79-88; HR: 0.91; 95% CI: 0.53-1.56). In the safety analysis, the acala + obin and acala monotherapy ESSs post-matching were 123 (76%) and 103 (64%), respectively. There were no significant differences in the odds of having most types of AE with acala + obin versus zanu, except for higher odds of having any grade neutropenia (OR: 2.19; 95% CI: 1.33-3.60) and arthralgia (OR: 2.33; 95% CI: 1.37-3.96). Acala monotherapy showed lower odds of having any grade hypertension (OR: 0.44, 95% CI: 0.20-0.99; Figure 2) and no significant differences in the odds of having other types of AEs versus zanu. Conclusions In this MAIC of ELEVATE-TN and SEQUOIA evaluating patients with treatment-naïve CLL/SLL without del(17p), acala + obin had a longer INV-PFS versus zanu, while there was no evidence of a difference between acala monotherapy and zanu. Acala + obin and acala monotherapy generally had similar safety profiles to zanu. However, acala monotherapy was associated with lower odds of any grade hypertension versus zanu, while acala + obin was associated with higher odds of any grade neutropenia and arthralgia versus zanu. Although the results of MAIC analyses can only be hypothesis-generating, these results address an important data gap by systematically comparing these two commonly used regimens where randomized, prospective data are not available.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.342
Teacher spread0.288 · 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 teacher head, not a consensus.

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".

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Citations2
Published2023
Admission routes1
Has abstractyes

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