Evidence map›Paper›PMID 26509147›Full record

ArticleBioMed research international2015

The Power of Phase I Studies to Detect Clinical Relevant QTc Prolongation: A Resampling Simulation Study.

Georg Ferber, Ulrike Lorch, Jörg Täubel

Abstract read
In one paragraph

Article in BioMed research international, 2015. 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
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Review
  7. Article
  8. Scientific white paper on concentration-QTc modeling.Journal of pharmacokinetics and pharmacodynamics · 2018
    Review
  9. Article
  10. Review
  11. Comparing QT interval variability of semiautomated and high-precision ECG methodologies in seven thorough QT studies-implications for the power of studies intended for definitive evaluation of a drug's QT effect.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2017
    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

3 authors.

Georg FerberStatistik Georg Ferber GmbH, Cagliostrostrasse 14, 4125 Riehen, Switzerland.
Ulrike LorchRichmond Pharmacology Ltd., St George's, University of London, Cranmer Terrace, London SW17 0RE, UK.
Jörg TäubelRichmond Pharmacology Ltd., St George's, University of London, Cranmer Terrace, London SW17 0RE, UK ; Cardiovascular and Cell Sciences Research Institute, St George's, University of London, Cranmer Terrace, London SW17 0RE, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Concentration-effect (CE) models applied to early clinical QT data from healthy subjects are described in the latest E14 Q&A document as promising analysis to characterise QTc prolongation. The challenges faced if one attempts to replace a TQT study by thorough ECG assessments in Phase I based on CE models are the assurance to obtain sufficient power and the establishment of a substitute for the positive control to show assay sensitivity providing protection against false negatives. To demonstrate that CE models in small studies can reliably predict the absence of an effect on QTc, we investigated the role of some key design features in the power of the analysis. Specifically, the form of the CE model, inclusion of subjects on placebo, and sparse sampling on the performance and power of this analysis were investigated. In this study, the simulations conducted by subsampling subjects from 3 different TQT studies showed that CE model with a treatment effect can be used to exclude small QTc effects. The number of placebo subjects was also shown to increase the power to detect an inactive drug preventing false positives while an effect can be underestimated if time points around t max are missed.

Indexed as

Clinical Trials, Phase I as TopicComputer SimulationCross-Over StudiesData CollectionData Interpretation, StatisticalElectrocardiographyFalse Negative ReactionsFalse Positive ReactionsFluoroquinolonesHealthy VolunteersHumansLong QT SyndromeMoxifloxacinRandomized Controlled Trials as TopicTime FactorsFluoroquinolonesMoxifloxacin

Identifiers

PMID26509147
PMCPMC4609768

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.