Evidence map›Paper›PMID 33118135›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2021

Detection and impact of hysteresis when evaluating a drug's QTc effect using concentration-QTc analysis.

Georg Ferber, Borje Darpo, Christine Garnett, Dalong Huang, Dhananjay D Marathe, Yaning Sun, Jiang Liu

Abstract read
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In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Practical guide to concentration-QTc modeling: a hands-on tutorial.Journal of pharmacokinetics and pharmacodynamics · 2025
    Article
  3. Beyond the linear model in concentration-QT analysis.Journal of pharmacokinetics and pharmacodynamics · 2025
    Article
  4. Beyond the linear model in concentration-QT analysis.Journal of pharmacokinetics and pharmacodynamics · 2025
    Article
  5. Article
  6. QTc interval analysis-an ever-evolving endeavor.Journal of pharmacokinetics and pharmacodynamics · 2021
    Article
  7. 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

7 authors.

Georg FerberStatistik Georg Ferber GmbH, Cagliostrostrasse 14, 4125, Riehen, Switzerland. Statistik.Georg.Ferber@bluewin.ch.
Borje DarpoERT, Rochester, NY, USA.
Christine GarnettCenter for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.
Dalong HuangCenter for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.
Dhananjay D MaratheMerck & Co., Inc., Rahway, NJ, USA.
Yaning SunCenter for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.
Jiang LiuCenter for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early-phase studies quantifying the QTc prolongation potential for a new drug often use linear concentration-QTc (C-QTc) models, assuming no delay between plasma concentrations and QTc changes. However, that assumption is not always correct. The term "hysteresis" has been utilized to describe a time lag present between a measurable concentration and a measurable effect. To detect and quantify hysteresis and its impact on study interpretation, studies with hysteresis of 0.25-4 h were simulated with different doses, half-lives, and sampling schedules in a crossover design. Hysteresis was quantified using a novel method termed exposure-normalized GRI (enGRI), a proposed modification of the Glomb-Ring Index (GRI), to account for delay and magnitude of QTc effects. With realistic sampling, the rate of false negative studies (FN) increased proportionally to the delay, even for delays shorter than 1 h. Using an enGRI threshold (γ) of 2 ms resulted in FN with undetected delay and FN without hysteresis at approximately the same rate. For γ = 2 ms, the specificity of enGRI was > 90% throughout the investigated scenarios. We therefore propose the incorporation of enGRI when interpreting results from C-QTc analysis with the intent of characterizing QTc effects.

Indexed as

Models, BiologicalClinical Trials, Phase I as TopicComputer SimulationDose-Response Relationship, DrugElectrocardiographyHumansLinear ModelsLong QT SyndromeTime FactorsenGRIExposure–responsePK/PD hysteresisPK/PD modelQTcTQT study

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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.