Evidence map›Paper›PMID 26784016›Full record

Trial reportBritish journal of pharmacology2016

Detecting moxifloxacin-induced QTc prolongation in thorough QT and early clinical phase studies using a highly automated ECG analysis approach.

Gopi Krishna Panicker, Dilip R Karnad, Pramod Kadam, Fabio Badilini, Anil Damle, Snehal Kothari

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in British journal of pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Elevated Plasma Moxifloxacin Concentrations andAntimicrobial agents and chemotherapy · 2018
    Trial
  5. Trial
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Moxifloxacin Pharmacokinetics, Cardiac Safety, and Dosing for the Treatment of Rifampicin-Resistant Tuberculosis in Children.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  11. Article
  12. Article
  13. Review
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

6 authors at 2 institutions in 2 countries.

Gopi Krishna PanickerQuintiles Cardiac Safety Services, Mumbai, India.
Dilip R KarnadQuintiles Cardiac Safety Services, Mumbai, India.
Pramod KadamQuintiles Cardiac Safety Services, Mumbai, India.
Fabio BadiliniAMPS LLC, New York, NY, USA.
Anil DamleQuintiles Cardiac Safety Services, Mumbai, India.
Snehal KothariQuintiles Cardiac Safety Services, Mumbai, India.
IQVIA (India) · INAMT (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeExposure-response (ER) modelling (concentration-QTc analysis) is gaining as much acceptance as the traditional by-time analysis of the placebo-adjusted change from baseline in the QTc interval (ΔΔQTcF). It has been postulated that intensive ECG analysis and ER modelling during early-phase drug development could be a cost-effective approach of estimating QT liability of a new drug, in a small number of subjects. EXPERIMENTAL APPROACH: We used a highly automated analysis of ECGs from 46 subjects from a crossover thorough QT/QTc study to detect ΔΔQTcF with moxifloxacin. Using these data, we also simulated (bootstrapped) 1000 datasets of a parallel study with eight subjects receiving moxifloxacin and eight others receiving placebo. KEY

resultsThe slope from the concentration-QTc analysis for moxifloxacin in 46 subjects was 4.12 ms of ΔΔQTcF per μg(-1) mL(-1) ; at mean Cmax of 2.95 μg·mL(-1) , estimated ΔΔQTcF was 13.4 ms (90% confidence interval 11.3, 15.4 ms). In the 1000 simulated datasets, in 996 datasets, ER modelling showed that the upper bound of the 90% confidence interval for ΔΔQTcF at geometric mean Cmax exceeded 10 ms. In 895 of these 996 datasets, the slope of the ER relationship was statistically significantly positive. Thus, with a small sample size (eight subjects on active drug and eight on placebo), moxifloxacin-induced QTc prolongation was demonstrated using ER analysis with statistical power of >80%. CONCLUSIONS AND IMPLICATIONS: Our study adds to the growing body of data supporting intensive ECG collection and analysis in early-phase studies to estimate QT liability.

Indexed as

AutomationElectrocardiographyCross-Over StudiesDose-Response Relationship, DrugFemaleFluoroquinolonesHumansLong QT SyndromeMaleMoxifloxacinFluoroquinolonesMoxifloxacin

Identifiers

PMID26784016
PMCPMC4940819
OpenAlexW2297534580

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.