Evidence map›Paper›PMID 28762476›Full record

Trial reportClinical pharmacology and therapeutics2018

Use of Early Clinical Trial Data to Support Thorough QT Study Waiver for Upadacitinib and Utility of Food Effect to Demonstrate ECG Assay Sensitivity.

Mohamed-Eslam F Mohamed, Jiewei Zeng, Ping Jiang, Balakrishna Hosmane, Ahmed A Othman

Abstract readClinical Trial, Phase IRandomized Controlled Trial
In one paragraph

Trial report in Clinical pharmacology and therapeutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Trial
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  3. Trial
  4. Article
  5. Review
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  11. The Cardiovascular Effects of a Meal: J-TJournal of clinical pharmacology · 2019
    Article
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

5 authors.

Mohamed-Eslam F MohamedClinical Pharmacology and Pharmacometrics, AbbVie Inc, North Chicago, Illinois, USA.
Jiewei ZengClinical Pharmacology and Pharmacometrics, AbbVie Inc, North Chicago, Illinois, USA.
Ping JiangClinical Pharmacology and Pharmacometrics, AbbVie Inc, North Chicago, Illinois, USA.
Balakrishna HosmaneClinical Pharmacology and Pharmacometrics, AbbVie Inc, North Chicago, Illinois, USA.
Ahmed A OthmanClinical Pharmacology and Pharmacometrics, AbbVie Inc, North Chicago, Illinois, USA.ORCID 0000-0002-4937-2775

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure-response analyses of QT data from early-stage clinical studies represent a valuable tool to assess the QT prolongation potential for drugs in development in lieu of standalone thorough QT (TQT) studies. However, demonstrating adequate electrocardiogram assay sensitivity can be challenging in the absence of a positive pharmacological control. Upadacitinib is a Janus kinase 1 inhibitor currently being evaluated in phase III rheumatoid arthritis trials. Exposure-response analyses to evaluate the QT prolongation potential for upadacitinib from phase I trials and the utility of the effect of food on QTcF to demonstrate ECG assay sensitivity are presented. The analyses demonstrated no effect of upadacitinib on QT interval and confirmed the sensitivity of the ECG assay to detect the small QT shortening effect caused by food. Lack of bias from manual ECG adjudication was also demonstrated. These analyses supported requesting a waiver for the regulatory requirement for a dedicated thorough QT study for upadacitinib.

Indexed as

Arthritis, RheumatoidCross-Over StudiesDouble-Blind MethodElectrocardiographyHeterocyclic Compounds, 3-RingHumansLong QT SyndromeSensitivity and SpecificityHeterocyclic Compounds, 3-Ringupadacitinib

Identifiers

PMID28762476
PMCPMC5946993

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Registered trials

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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.