Evidence map›Paper›PMID 28070211›Full record

ArticleComputational and mathematical methods in medicine2016

In Silico Investigation into Cellular Mechanisms of Cardiac Alternans in Myocardial Ischemia.

Jiaqi Liu, Yinglan Gong, Ling Xia, Xiaopeng Zhao

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. 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
  3. Exploring Impaired SERCA Pump-Caused Alternation Occurrence in Ischemia.Computational and mathematical methods in medicine · 2019
    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

4 authors at 2 institutions in 2 countries.

Jiaqi LiuDepartment of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China.
Yinglan GongDepartment of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0003-1533-1446
Ling XiaDepartment of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0002-1937-9693
Xiaopeng ZhaoDepartment of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, TN 37996, USA.
Zhejiang University · CNUniversity of Tennessee at Knoxville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial ischemia is associated with pathophysiological conditions such as hyperkalemia, acidosis, and hypoxia. These physiological disorders may lead to changes on the functions of ionic channels, which in turn form the basis for cardiac alternans. In this paper, we investigated the roles of hyperkalemia and calcium handling components played in the genesis of alternans in ischemia at the cellular level by using computational simulations. The results show that hyperkalemic reduced cell excitability and delayed recovery from inactivation of depolarization currents. The inactivation time constant

Indexed as

Action PotentialsAnimalsArrhythmias, CardiacCalciumCalcium SignalingComputer SimulationHumansHyperkalemiaIonsMyocardial IschemiaMyocytes, CardiacSarcoplasmic Reticulum Calcium-Transporting ATPasesSodium-Calcium ExchangerATP2A2 protein, humanCalciumIonsSarcoplasmic Reticulum Calcium-Transporting ATPasesSodium-Calcium Exchanger

Identifiers

PMID28070211
PMCPMC5187597
OpenAlexW2565076951

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.