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Record W4406772778 · doi:10.1002/cpdd.1509

Evaluation of the Effect of Momelotinib on Cardiac Repolarization: A Thorough QT Study

2025· article· en· W4406772778 on OpenAlexfundno aff
Georgios Vlasakakis, Yolanda Alvarez, Timothy Hart, Yu Liu Ho, Catherine Ellis

Bibliographic record

VenueClinical Pharmacology in Drug Development · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicKruppel-like factors research
Canadian institutionsnot available
FundersSierra OncologyGilead Sciences
KeywordsMedicineMoxifloxacinQT intervalPlaceboAdverse effectDosingCrossover studyConfidence intervalPharmacologyDiscontinuationPharmacokineticsAnesthesiaInternal medicineAntibiotics

Abstract

fetched live from OpenAlex

A randomized, partially blinded, placebo-controlled, crossover study in 48 healthy adults assessed the effect of momelotinib on the heart rate-corrected QT interval (QTc) using the Fridericia formula (QTcF). QTc was evaluated for momelotinib 200 mg (therapeutic dose), momelotinib 800 mg (supratherapeutic dose), moxifloxacin 400 mg (positive control), and placebo. Pharmacokinetic profiles of momelotinib and its active metabolite M21 were evaluated. Momelotinib did not prolong QTcF, as the upper bounds of the 2-sided 90% confidence intervals (CIs) for the mean difference between doses of momelotinib and placebo were <10 milliseconds at all time points. The lower limit of the 2-sided 98% CI for the mean difference in QTcF between moxifloxacin versus placebo was >5 milliseconds at 2, 3, and 4 hours after dosing, demonstrating assay sensitivity. There was no positive relationship between momelotinib plasma concentrations and QTcF. Adverse events (AEs) were more frequent with the supratherapeutic dose of momelotinib, but none were considered severe. There were no deaths, serious AEs, or AEs leading to study discontinuation. Neither therapeutic nor supratherapeutic doses of momelotinib led to clinically significant effects on the QTc interval, supporting a negative finding for QTc prolongation from this thorough QT study.

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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.040
GPT teacher head0.461
Teacher spread0.421 · 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.

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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