Evidence map›Paper›PMID 22886409›Full record

ReviewAmerican journal of physiology. Heart and circulatory physiology2012

Computational approaches to understand cardiac electrophysiology and arrhythmias.

Byron N Roberts, Pei-Chi Yang, Steven B Behrens, Jonathan D Moreno, Colleen E Clancy

Abstract readReview
In one paragraph

Review in American journal of physiology. Heart and circulatory physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Polygonal surface processing and mesh generation tools for the numerical simulation of the cardiac function.International journal for numerical methods in biomedical engineering · 2021
    Article
  10. Review
  11. Article
  12. Article
  13. A Molecularly Detailed NaJACC. Basic to translational science · 2019
    Article
  14. Article
  15. Position Paper Computational Cardiology.IEEE journal of biomedical and health informatics · 2019
    Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. 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

5 authors.

Byron N RobertsTri-Institutional MD-PhD Program, Physiology, Biophysics and Systems Biology Graduate Program, Weill Cornell Medical College/The Rockefeller University/Sloan-Kettering Cancer Institute, Weill Medical College of Cornell University, New York, New York, USA.
Pei-Chi Yang
Steven B Behrens
Jonathan D Moreno
Colleen E Clancy

Funding

Weill Cornell/Rockefeller/Sloan-Kettering MST ProgramT32GM007739 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI HSU, KATHARINE C · 1985 to 2023
$51.1M
Multi-scale Systems Model of Murine Heart FailureR01HL105242 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BERS, DONALD M, MCCULLOCH, ANDREW D. · 2012 to 2016
$3.5M
Pharmacogenomics and antiarrhythmic therapy: An in silico investigationR01HL085592 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CLANCY, COLLEEN E · 2007 to 2011
$1.8M
NHLBI NIH HHS R01 HL085592NHLBI NIH HHS R01 HL105242NIGMS NIH HHS T32 GM007739
6 · The paper itself

Abstract

Cardiac rhythms arise from electrical activity generated by precisely timed opening and closing of ion channels in individual cardiac myocytes. These impulses spread throughout the cardiac muscle to manifest as electrical waves in the whole heart. Regularity of electrical waves is critically important since they signal the heart muscle to contract, driving the primary function of the heart to act as a pump and deliver blood to the brain and vital organs. When electrical activity goes awry during a cardiac arrhythmia, the pump does not function, the brain does not receive oxygenated blood, and death ensues. For more than 50 years, mathematically based models of cardiac electrical activity have been used to improve understanding of basic mechanisms of normal and abnormal cardiac electrical function. Computer-based modeling approaches to understand cardiac activity are uniquely helpful because they allow for distillation of complex emergent behaviors into the key contributing components underlying them. Here we review the latest advances and novel concepts in the field as they relate to understanding the complex interplay between electrical, mechanical, structural, and genetic mechanisms during arrhythmia development at the level of ion channels, cells, and tissues. We also discuss the latest computational approaches to guiding arrhythmia therapy.

Indexed as

Computer SimulationModels, CardiovascularAction PotentialsAnimalsArrhythmias, CardiacEnergy MetabolismExcitation Contraction CouplingHeart Conduction SystemHumansIon ChannelsMyocardial ContractionMyocytes, CardiacTime FactorsIon Channels

Identifiers

PMID22886409
PMCPMC3774200

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.