Evidence map›Paper›PMID 32743691›Full record

ArticleThe AAPS journal2020

Application of Trial Simulation in the Design of a Prospective Study for Concentration-QTc Analysis in Support of a Thorough QT Study Waiver.

Peijuan Zhu, Chyi-Hung Hsu, Chuanpu Hu, Peggy Wong, Sherwin K B Sy, Partha Nandy, Honghui Zhou

Abstract read
PubMed Publisher
In one paragraph

Article in The AAPS journal, 2020. 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
–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

1 citing paper in PubMed.

  1. 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.

Peijuan ZhuClinical Pharmacology & Pharmacometrics, Janssen Research & Development LLC, Raritan, New Jersey, USA. pzhu9@its.jnj.com.ORCID 0000-0003-3636-7640
Chyi-Hung HsuClinical Pharmacology & Pharmacometrics, Janssen Research & Development LLC, Raritan, New Jersey, USA.
Chuanpu HuClinical Pharmacology & Pharmacometrics, Janssen Research & Development LLC, Spring House, Pennsylvania, USA.
Peggy WongQuantitative Science, Janssen Research & Development LLC, Raritan, New Jersey, USA.
Sherwin K B SyDepartment of Statistics, State University of Maringá, Maringá, Paraná, Brazil.
Partha NandyClinical Pharmacology & Pharmacometrics, Janssen Research & Development LLC, Raritan, New Jersey, USA.
Honghui ZhouClinical Pharmacology & Pharmacometrics, Janssen Research & Development LLC, Spring House, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concentration-QTc (C-QTc) analysis is often applied in the first-in-human (FIH) study to demonstrate the absence of a QTc effect in support of a TQT waiver. However, a C-QTc analysis without properly designed sensitivity could fail to conclude the absence of a QTc effect at high concentrations, even though the compound is QTc negative. This is because the 90% confidence interval (CI) of the model-derived ∆∆QTc grows wider with increasing concentration, and the upper-bound could cross the 10-ms threshold, even though the slope is close to 0. So far, there is no simple math formula to calculate the sensitivity/specificity of a C-QTc analysis. A PK/QTc trial simulation scheme was applied to optimize the design features of a C-QTc trial in FIH studies by evaluating the study's sensitivity over a wide concentration range, circumventing the problem of not knowing the target concentration during FIH studies. It was also used to ensure that the specificity of the trial was well-controlled. Simulation showed that the study sensitivity can be quantitatively gauged by optimizing the dose range, the number of samples per subjects or subject number, and by sampling around Tmax, and at steady-state. The specificity of the trial can also be evaluated with this approach, and it is important to combine model-derived ∆∆QTc and slope estimate in the evaluation. The trial simulation approach helps maximize the probability of success of C-QTc analyses in FIH studies intended to support a TQT waiver.

Indexed as

Dose-Response Relationship, DrugModels, TheoreticalArrhythmias, CardiacDrug EvaluationHumansProspective StudiesResearch DesignSensitivity and SpecificityConcentration-QTc (C-QTc) analysisProbability of successStudy design optimizationThorough QT waiverTrial simulation

Identifiers

What OpenQuestion holds

Textmetadata
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.