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Record W4389229577 · doi:10.1182/blood-2023-174751

Tailor: Interventional Study Evaluating Physician's Choice of Ibrutinib Monotherapy or Ibrutinib-Venetoclax Combination Using Dose Modifications and Alternate Dosing Approaches in Patients with Untreated Chronic Lymphocytic Leukemia

2023· article· en· W4389229577 on OpenAlexaff
Jeff P. Sharman, Jan A. Burger, Jacqueline C. Barrientos, Philip Kuruvilla, Sima Patel, Gabriel Krigsfeld, Sowmya Srikanthan, B Messahel, Wasiulla Khan, Emma Smith, Paolo Ghia

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsWilliam Osler Health System
Fundersnot available
KeywordsIbrutinibMedicineVenetoclaxChronic lymphocytic leukemiaDosingInternal medicineOncologyLeukemia

Abstract

fetched live from OpenAlex

Background: Ibrutinib is a first-in-class Bruton's tyrosine kinase inhibitor (BTKi) that has changed the treatment paradigm for patients with chronic lymphocytic leukemia (CLL) with durable responses and improved overall survival (OS). In the pivotal Phase 3 GLOW and Phase 2 CAPTIVATE trials, fixed-duration combination of ibrutinib-venetoclax (I+V) resulted in deep and sustained clinical responses, and a broadly manageable safety profile in patients with CLL. Several factors including genetic features, disease status, comorbidities, patient preferences, and safety profiles contribute to selection of the optimal therapeutic option for patients with CLL in the first-line setting. Adverse events (AEs), such as atrial fibrillation, bleeding, and hypertension, have been seen with the BTKi therapeutic class.Long-term clinical and real-world experience with ibrutinib has led to specific guidance regarding AE management, which has been included in the updated ibrutinib prescribing information (US PI, May 2022; EU SmPC, April 2023). Retrospective evidence, including post-hoc analyses of clinical trial data, demonstrates that dose reduction of ibrutinib mitigates recurrence or worsening of AEs while preserving efficacy. Thus, these findings together support the rationale to prospectively evaluate the impact of regimen and dosing flexibility of ibrutinib in patients with untreated CLL. Aim: The key objective of the TAILOR study (NCT05963074) is to assess the efficacy and safety of I+V and ibrutinib monotherapy regimens with both a proactive and reactive dose adjustment in patients with untreated CLL. Methods: TAILOR is a phase 2, two-arm, four-cohort interventional study designed to provide physicians the choice of ibrutinib monotherapy or I+V combination therapy for previously untreated patients with CLL and prospectively evaluate proactive and reactive dose adjustment approaches. Eligible patients will have previously untreated active CLL, needing therapy as per iwCLL 2018 criteria. Key exclusion criteria include significant active or history of cardiovascular disease, uncontrolled hypertension, and ECOG performance status > 2. Patients will be randomized after selection of regimen: I+V fixed-duration regimen (2 cohorts, 80 patients in each cohort) or ibrutinib monotherapy (2 cohorts, 80 patients in each cohort), as per physician's choice. Patients in the I+V arm will receive ibrutinib 420 mg QD as lead-in for 3 cycles plus 12 cycles of either ibrutinib 420 mg QD (Cohort 1a) or 280 mg QD (Cohort 1b) in combination with venetoclax, which will be initiated in cycle 4 with dose ramp-up per label over 5 weeks (20, 50, 100, 200, and 400 mg/day) and continued at 400 mg/day dose from cycle 5 onward. In addition, patients with deletion 17p and/or mutated TP53 will receive optional ibrutinib maintenance. Patients in the ibrutinib monotherapy arm will receive ibrutinib 420 mg QD (Cohort 2a) or 420 mg QD for 3 cycles, then 280 mg QD (Cohort 2b) until progressive disease or unacceptable toxicity ( Figure). All cohorts will follow the dose modification guidance as per protocol based on the US PI/ EU SmPC. The primary endpoint is best overall response rate as assessed by investigators and compared with historic controls. Secondary endpoints include: complete response rate, duration of response, PFS, and OS; undetectable minimal residual disease rate (I+V cohorts only); safety (AEs, discontinuation due to AEs, adherence rates); and patient reported outcomes. The study is currently recruiting patients.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.002

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 head0.124
GPT teacher head0.370
Teacher spread0.246 · 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 designNon-randomized 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

Citations3
Published2023
Admission routes1
Has abstractyes

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