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Record W4417016636 · doi:10.1182/blood-2025-7934

Quality initiative in first-line chronic lymphocytic leukemia /small lymphocytic lymphoma assessing the use of 2nd generation BTKi therapy and impact on cardiac medical conditions patients experience on treatment

2025· article· en· W4417016636 on OpenAlexaff
Jing‐Zhou Hou, Tejvir Singh, Patrick M. Travis, Olalekan Ajayi, Jason M. Stinnett, Kyle Kitchen, Anna Rui, Mike Gart, Lindsay Aton, Poras Davé, Doug Kanovsky, Brandon Wang, Prateesh Varughese, Robert B. Geller, Jeffrey Scott, Rushir J. Choksi

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsMD Precision (Canada)
Fundersnot available
KeywordsIbrutinibChronic lymphocytic leukemiaPopulationAcute lymphocytic leukemiaClinical trialVenetoclaxRandomized controlled trial

Abstract

fetched live from OpenAlex

Abstract Background: Given the introduction of 2nd generation safer and more tolerable BTKis to treat first- line Chronic Lymphocytic Leukemia /Small Lymphocytic Lymphoma (CLL/SLL) patients, Integra Connect evaluated the use of these therapies among patients at practices who participated in its quality improvement (QI) program focusing on the use of 2nd generation BTKi drugs in the treatment of CLL/SLL compared to those practices who did not participate to assess the use of the 1st generation BTKi (ibrutinib) and the impact of CV-ME on treatment. Methods: The Integra Connect PrecisionQ real-world de-identified database was used to identify patients who initiated first- line treatment for CLL/SLL between January 1, 2023 and December 31, 2024. The analysis included practices who participated in the QI in 2023 (Group A) and those practices who did not participate (Group B). Descriptive statistics were used to assess proportions and chi-squared analysis were used to test for significance. Results: Among Group A practices, 802 patients received first-line treatment with 55.7% receiving a BTKi. Among Group B practices, 2,508 patients received first-line treatment with 59.3% receiving a BTKi. In Group A practices, the use of ibrutinib was 4.9% overall and 8.7% among patients treated with a BTKi, whereas among Group B practices the use of ibrutinib was 10% overall and 16.8% among the patients treated with a BTKi (p<0.01). Patients treated with ibrutinib in first-line experienced a CV-ME 9.7% of the time whereas those on a 2nd generation BTKi experienced a CV-ME 7.1% of the time (p>0.05). Conclusion: Those practices that participated in the CLL/SLL QI had increased guideline concordance per the NCCN of using 2nd generation BTKi drugs and had lower rates of CV-ME due to the lower use of ibrutinib in the treatment of CLL/SLL patients in the first-line.

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)0.006
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.117
GPT teacher head0.396
Teacher spread0.280 · 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 designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

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