Evidence map›Paper›PMID 27663173›Full record

ArticleJournal of molecular and cellular cardiology2016

Convergence of models of human ventricular myocyte electrophysiology after global optimization to recapitulate clinical long QT phenotypes.

Stefan A Mann, Mohammad Imtiaz, Annika Winbo, Annika Rydberg, Matthew D Perry, Jean-Philippe Couderc, Bronislava Polonsky, Scott McNitt, Wojciech Zareba, Adam P Hill and 1 more

Abstract read
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In one paragraph

Article in Journal of molecular and cellular cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
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  10. Modelling sudden cardiac death risks factors in patients with coronavirus disease of 2019: the hydroxychloroquine and azithromycin case.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2021
    Article
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  12. Calibration of ionic and cellular cardiac electrophysiology models.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  13. APL bioengineering · 2020
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 3 countries.

Stefan A MannVictor Chang Cardiac Research Institute, 405 Liverpool Street, Darlinghurst, NSW 2010, Australia; St Vincent's Clinical School, University of New South Wales, Australia.
Mohammad ImtiazVictor Chang Cardiac Research Institute, 405 Liverpool Street, Darlinghurst, NSW 2010, Australia.
Annika WinboDepartment of Clinical Sciences, Pediatrics, Umeå University, 90185 Umeå, Sweden.
Annika RydbergDepartment of Clinical Sciences, Pediatrics, Umeå University, 90185 Umeå, Sweden.
Matthew D PerryVictor Chang Cardiac Research Institute, 405 Liverpool Street, Darlinghurst, NSW 2010, Australia; St Vincent's Clinical School, University of New South Wales, Australia.
Jean-Philippe CoudercDivision of Cardiology, University of Rochester, School of Medicine, Rochester, NY, USA.
Bronislava PolonskyDivision of Cardiology, University of Rochester, School of Medicine, Rochester, NY, USA.
Scott McNittDivision of Cardiology, University of Rochester, School of Medicine, Rochester, NY, USA.
Wojciech ZarebaDivision of Cardiology, University of Rochester, School of Medicine, Rochester, NY, USA.
Adam P HillVictor Chang Cardiac Research Institute, 405 Liverpool Street, Darlinghurst, NSW 2010, Australia; St Vincent's Clinical School, University of New South Wales, Australia. Electronic address: a.hill@victorchang.edu.au.
Jamie I VandenbergVictor Chang Cardiac Research Institute, 405 Liverpool Street, Darlinghurst, NSW 2010, Australia; St Vincent's Clinical School, University of New South Wales, Australia. Electronic address: j.vandenberg@victorchang.edu.au.
University of Rochester · USSt Vincent's Clinic · AUUmeå University · SEVictor Chang Cardiac Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In-silico models of human cardiac electrophysiology are now being considered for prediction of cardiotoxicity as part of the preclinical assessment phase of all new drugs. We ask the question whether any of the available models are actually fit for this purpose. We tested three models of the human ventricular action potential, the O'hara-Rudy (ORD11), the Grandi-Bers (GB10) and the Ten Tusscher (TT06) models. We extracted clinical QT data for LQTS1 and LQTS2 patients with nonsense mutations that would be predicted to cause 50% loss of function in I

Indexed as

Heart Conduction SystemModels, BiologicalPhenotypeCase-Control StudiesComputer SimulationDatabases, FactualElectrocardiographyElectrophysiological PhenomenaHeart VentriclesHumansLong QT SyndromeMyocytes, CardiacAdrenergic regulationGlobal optimization, computational cardiologyIn-silico modelsLong QT syndromeRepolarization

Identifiers

PMID27663173
OpenAlexW2424982811

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.