Evidence map›Paper›PMID 35665514›Full record

ReviewJournal of clinical pharmacology2022

ECG Evaluation as Part of the Clinical Pharmacology Strategy in the Development of New Drugs: A Review of Current Practices and Opportunities Based on Five Case Studies.

Borje Darpo, Marie Borin, Georg Ferber, Gerald R Galluppi, Seth C Hopkins, Ishani Landry, Arthur Lo, Bhaskar Rege, Larisa Reyderman, Lei Sun and 3 more

Abstract readReview
In one paragraph

Review in Journal of clinical pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. 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

13 authors.

Borje DarpoClario, Rochester, New York, USA.
Marie BorinClinical and Translational Pharmacology, Theravance Biopharma US, Inc., South San Francisco, California, USA.
Georg FerberStatistik Georg Ferber GmbH, Riehen, Switzerland.
Gerald R GalluppiSunovion Pharmaceuticals, Inc., Marlborough, Massachusetts, USA.
Seth C HopkinsSunovion Pharmaceuticals, Inc., Marlborough, Massachusetts, USA.
Ishani LandryClinical Pharmacology and Translational Medicine, Eisai, Nutley, New Jersey, USA.
Arthur LoClinical and Translational Pharmacology, Theravance Biopharma US, Inc., South San Francisco, California, USA.
Bhaskar RegeAlkermes, Inc., Waltham, Massachusetts, USA.
Larisa ReydermanClinical Pharmacology and Translational Medicine, Eisai, Nutley, New Jersey, USA.
Lei SunAlkermes, Inc., Waltham, Massachusetts, USA.
Takao WatanabeSunovion Pharmaceuticals, Inc., Marlborough, Massachusetts, USA.
Hongqi XueClario, Rochester, New York, USA.
Sally YasudaClinical Pharmacology and Translational Medicine, Eisai, Nutley, New Jersey, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The International Conference on Harmonization (ICH) E14 document was revised in 2015 to allow concentration-corrected QT interval (C-QTc) analysis to be applied to data from early clinical pharmacology studies to exclude a small drug-induced effect on QTc. Provided sufficiently high concentrations of the drug are obtained in the first-in-human (FIH) study, this approach can be used to obviate the need for a designated thorough QT (TQT) study. The E14 revision has resulted in a steady reduction in the number of TQT studies and an increased use of FIH studies to evaluate electrocardiogram (ECG) effects of drugs in development. In this review, five examples from different sponsors are shared in which C-QTc analysis was performed on data from FIH studies. Case 1 illustrates a clearly negative C-QTc evaluation, despite observations of QTc prolongation at high concentrations in nonclinical studies. In case 2 C-QTc analysis of FIH data was performed prior to full pharmacokinetic characterization in patients, and the role of nonclinical assays in an integrated risk assessment is discussed. Case 3 illustrates a positive clinical C-QTc relationship, despite negative nonclinical assays. Case 4 demonstrates a strategy for characterizing the C-QTc relationship for a nonracemic therapy and formulation optimization, and case 5 highlights an approach to perform a preliminary C-QTc analysis early in development and postpone the definitive analysis until proof of efficacy is demonstrated. The strategy of collecting and storing ECG data from FIH studies to enable an informed decision on whether and when to apply C-QTc analysis to obviate the need for a TQT study is described.

Indexed as

Long QT SyndromePharmacology, ClinicalElectrocardiographyHumansRisk Assessmentclinical pharmacologyE14exposure response analysishealthy subjectsICHQT

Identifiers

PMID35665514
PMCPMC9796926

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.