Evidence map›Paper›PMID 35187855›Full record

ArticleClinical pharmacology in drug development2022

Assessment of Effects of Investigational TAK-931, an Oral Cell Division Cycle 7 Kinase Inhibitor on the QTc Intervals in Patients With Advanced Solid Tumors.

Xiaofei Zhou, Paul Matthias Diderichsen, Neeraj Gupta

Open access · greenAbstract read
In one paragraph

Article in Clinical pharmacology in drug development, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Xiaofei ZhouQuantitative Clinical Pharmacology, Takeda Development Center Americas, Inc., Cambridge, Massachusetts, USA.
Paul Matthias DiderichsenCertara USA, Inc., Princeton, New Jersey, USA.
Neeraj GuptaQuantitative Clinical Pharmacology, Takeda Development Center Americas, Inc., Cambridge, Massachusetts, USA.
Takeda (United States) · USIntegra LifeSciences (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TAK-931, a novel, selective, small-molecule inhibitor of cell division cycle 7 has been investigated in multiple clinical trials in patients with advanced solid tumors. An integrated analysis using data from 2 clinical studies assessed effects of TAK-931 on electrocardiogram QT intervals and heart rate (HR). Pharmacokinetic samples and matched triplicate electrocardiogram data were collected in 48 patients with cancer receiving oral administration of TAK-931 50 or 80 mg once daily. The relationships between TAK-931 plasma concentrations and the HR-corrected QT interval via Fridericia (QTcF) or population (QTcP) and HR were analyzed using linear mixed-effects models with fixed effects for day and time. At the geometric mean maximum TAK-931 plasma concentrations after administration of 50 mg, an HR change of 3.40 beats per minute (90%CI, 1.86-4.80) was predicted. Change in QTcF of -3.41 milliseconds (90%CI, -5.77 to -1.17) and QTcP of -2.02 milliseconds (90%CI, -4.15 to 0.0679) were estimated, indicating there was no effect of TAK-931 on the QT intervals at a recommended phase 2 dose of 50 mg once daily for 14 days in a 21-day cycle.

Indexed as

Antineoplastic AgentsNeoplasmsCell CycleElectrocardiographyHumansProtein Kinase InhibitorsPyrazolonesPyrimidinesAntineoplastic AgentsProtein Kinase InhibitorsPyrazolonesPyrimidinessimurosertibcardiotoxicitycell division cycle 7 inhibitorconcentration-QTQTc intervalTAK-931

Identifiers

PMID35187855
PMCPMC9306994
OpenAlexW4213296077

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.