Evidence map›Paper›PMID 26835103›Full record

ArticleArrhythmia & electrophysiology review2015

Computer Modelling for Better Diagnosis and Therapy of Patients by Cardiac Resynchronisation Therapy.

Marieke Pluijmert, Joost Lumens, Mark Potse, Tammo Delhaas, Angelo Auricchio, Frits W Prinzen

Open access · greenAbstract read
In one paragraph

Article in Arrhythmia & electrophysiology review, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Computational Modelling Enabling In Silico Trials for Cardiac Physiologic Pacing.Journal of cardiovascular translational research · 2024
    Review
  2. Article
  3. Review
  4. Article
  5. Current developments in cardiac rhythm management devices.Clinical research in cardiology : official journal of the German Cardiac Society · 2018
    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.

Marieke PluijmertDepartment of Biomedical Engineering, Cardiovascular Research Institute, Maastricht, The Netherlands;
Joost LumensDepartment of Biomedical Engineering, Cardiovascular Research Institute, Maastricht, The Netherlands;
Mark PotseCentre for Computational Medicine in Cardiology, Universita della Svizzera Intaliana, Lugano, Switzerland;
Tammo DelhaasDepartment of Biomedical Engineering, Cardiovascular Research Institute, Maastricht, The Netherlands;
Angelo AuricchioCentre for Computational Medicine in Cardiology, Universita della Svizzera Intaliana, Lugano, Switzerland;; Fondazione Cardiocentro Ticino, Lugano, Switzerland;
Frits W PrinzenDepartment of Physiology, Cardiovascular Research Institute, Maastricht, The Netherlands.
Maastricht University · NLUniversità della Svizzera italiana · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mathematical or computer models have become increasingly popular in biomedical science. Although they are a simplification of reality, computer models are able to link a multitude of processes to each other. In the fields of cardiac physiology and cardiology, models can be used to describe the combined activity of all ion channels (electrical models) or contraction-related processes (mechanical models) in potentially millions of cardiac cells. Electromechanical models go one step further by coupling electrical and mechanical processes and incorporating mechano-electrical feedback. The field of cardiac computer modelling is making rapid progress due to advances in research and the ever-increasing calculation power of computers. Computer models have helped to provide better understanding of disease mechanisms and treatment. The ultimate goal will be to create patient-specific models using diagnostic measurements from the individual patient. This paper gives a brief overview of computer models in the field of cardiology and mentions some scientific achievements and clinical applications, especially in relation to cardiac resynchronisation therapy (CRT).

Indexed as

bidomain modelcardiac resynchronisation therapyComputer modelfinite element modelheart failuremonodomain model

Identifiers

PMID26835103
PMCPMC4711552
OpenAlexW2441936245

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.