Evidence map›Paper›PMID 30210355›Full record

ArticleFrontiers in physiology2018

Slow Recovery of Excitability Increases Ventricular Fibrillation Risk as Identified by Emulation.

Brodie A Lawson, Kevin Burrage, Pamela Burrage, Christopher C Drovandi, Alfonso Bueno-Orovio

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Graph-based homogenisation for modelling cardiac fibrosis.Journal of computational physics · 2022
    Article
  3. Review
  4. Variability in electrophysiological properties and conducting obstacles controls re-entry risk in heterogeneous ischaemic tissue.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Article
  5. An audit of uncertainty in multi-scale cardiac electrophysiology models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Review
  6. Article
  7. Article
  8. 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 at 3 institutions in 2 countries.

Brodie A LawsonARC Centre of Excellence for Mathematical and Statistical Frontiers, School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
Kevin BurrageARC Centre of Excellence for Mathematical and Statistical Frontiers, School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
Pamela BurrageARC Centre of Excellence for Mathematical and Statistical Frontiers, School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
Christopher C DrovandiARC Centre of Excellence for Mathematical and Statistical Frontiers, School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
Alfonso Bueno-OrovioDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.
Queensland University of Technology · AUARC Centre of Excellence for Mathematical and Statistical Frontiers · AUUniversity of Oxford · GB

Funding

British Heart Foundation FS/17/22/32644National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/P001076/1
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

arrhythmias (cardiac)emulationexcitabilityfibrillationGaussian process regressionmachine learningrefractorinessrotors

Identifiers

PMID30210355
PMCPMC6121112
OpenAlexW2889444610

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.