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Lack of effect of bendamustine on Fridericia corrected QT interval (QTcF) in a phase III study of bendamustine-rituximab in advanced indolent non-Hodgkin’s lymphoma (NHL) or mantle cell lymphoma (MCL).

2013· article· en· W2756225528 on OpenAlexaff
John M. Burke, Ian W. Flinn, Michael Craig, Richard H. C. Van Der Jagt, David MacDonald, Doreen M. Hallman, Mihaela Munteanu

Bibliographic record

VenueJournal of Clinical Oncology · 2013
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsQueen Elizabeth II Health Sciences CentreOttawa Hospital
Fundersnot available
KeywordsBendamustineMedicineQT intervalRituximabInternal medicineMantle cell lymphomaCardiologyLymphoma

Abstract

fetched live from OpenAlex

e19518 Background: Clinical data on the arrhythmogenic potential of bendamustine are limited. Bendamustine and rituximab (BR) are commonly combined, and rituximab concentrations are essentially constant ≥1.5 hours due to its long half-life. This BR single-arm study assessed the effects of bendamustine on QTcF over 1.5 hours in previously untreated adults with advanced indolent NHL or MCL. Methods: Patients in this open-label study were aged ≥18 years with QTc on screening electrocardiogram (ECG) ≤450 ms. Exclusion criteria included low serum potassium or magnesium and history of cardiac conditions with QT prolongation risk. Bendamustine 90 mg/m2 was given on days 1 and 2 and rituximab 375 mg/m2 on day 1 of each 28-day cycle. On day 2 of cycle 1, ECGs and blood sampling were performed ~15 min prior to bendamustine infusion (baseline), at the end of infusion (EOI)/Cmax, and 1 h post-EOI. The primary measure was change in QTcF at EOI. Secondary measures included outlier analyses of QTcF intervals, pharmacokinetic/pharmacodynamic (PK/PD) analysis, and changes in ECG morphology. The ECG analysis included patients with ≥1 ECG at baseline and on treatment. Results: There were 53 enrolled patients (92% white; 60% male; mean age 63.0 y, range 37-84 y; mean body surface area 2.0 m2, range 1.4-2.6 m2). No clinically relevant signal of any bendamustine effect on cardiac repolarization was detected based on the mean change in QTcF from baseline and outlier analyses (Table). In the PK/PD analyses, predicted change in QTcF for bendamustine and its metabolites, M3 and M4, were not significant: 5.4 ms (upper CI 7.6 ms), 6.0 ms (8.8 ms), and 7.1 ms (10.1 ms), respectively, but there were few data. No new ECG morphologic changes were seen. Conclusions: In this small population with previously untreated advanced NHL or MCL, bendamustine was associated with a small increase in mean QTcF that was not clinically meaningful. Support: Teva BPP R&D, Inc. Clinical trial information: NCT01073163. [Table: see text]

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)0.001
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 score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.065
GPT teacher head0.490
Teacher spread0.424 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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