Evidence map›Paper›PMID 22273793›Full record

ReviewIEEE reviews in biomedical engineering2011

Modeling defibrillation of the heart: approaches and insights.

Natalia Trayanova, Jason Constantino, Takashi Ashihara, Gernot Plank

Abstract readReview
In one paragraph

Review in IEEE reviews in biomedical engineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Data integration for the numerical simulation of cardiac electrophysiology.Pacing and clinical electrophysiology : PACE · 2021
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. New insights into defibrillation of the heart from realistic simulation studies.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 · 2014
    Review
  12. Article
  13. Article
  14. Article
  15. Advances in modeling ventricular arrhythmias: from mechanisms to the clinic.Wiley interdisciplinary reviews. Systems biology and medicine
    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

4 authors at 4 institutions in 3 countries.

Natalia TrayanovaDepartment of Biomedical Engineering and Institute for Computational Medicine, The Johns Hopkins University, Baltimore, MD 20218, USA. ntrayanova@jhu.edu
Jason Constantino
Takashi Ashihara
Gernot Plank
Johns Hopkins Medicine · USJohns Hopkins University · USMedical University of Graz · ATShiga University of Medical Science · JP

Funding

Resynchronizing the Failing Heart: Insights from a Multiscale Cardiac ModelR01HL103428 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TRAYANOVA, NATALIA A. · 2011 to 2014
$2.3M
Defibrillation Mechanisms in Infarcted HeartsR01HL082729 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TRAYANOVA, NATALIA A. · 2007 to 2010
$2.1M
Image-based models of electromechanics in normal and failing heartsF31HL103090 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CONSTANTINO, JASON LANCE · 2010 to 2012
$125k
Austrian Science Fund FWF F 3210NHLBI NIH HHS F31 HL103090NHLBI NIH HHS HL082729NHLBI NIH HHS HL103090NHLBI NIH HHS R01 HL082729NHLBI NIH HHS R01 HL103428
6 · The paper itself

Abstract

Cardiac defibrillation, as accomplished nowadays by automatic, implantable devices (ICDs), constitutes the most important means of combating sudden cardiac death. While ICD therapy has proved to be efficient and reliable, defibrillation is a traumatic experience. Thus, research on defibrillation mechanisms, particularly aimed at lowering defibrillation voltage, remains an important topic. Advancing our understanding towards a full appreciation of the mechanisms by which a shock interacts with the heart is the most promising approach to achieve this goal. The aim of this paper is to assess the current state-of-the-art in ventricular defibrillation modeling, focusing on both numerical modeling approaches and major insights that have been obtained using defibrillation models, primarily those of realistic ventricular geometry. The paper showcases the contributions that modeling and simulation have made to our understanding of the defibrillation process. The review thus provides an example of biophysically based computational modeling of the heart (i.e., cardiac defibrillation) that has advanced the understanding of cardiac electrophysiological interaction at the organ level and has the potential to contribute to the betterment of the clinical practice of defibrillation.

Indexed as

Electric CountershockModels, CardiovascularDefibrillators, ImplantableHeartHumansVentricular Fibrillation

Identifiers

PMID22273793
PMCPMC3328410
OpenAlexW2106645169

What OpenQuestion holds

Textmetadata
LicenceTDM
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.