Evidence map›Paper›PMID 26302781›Full record

ArticleScientific reports2015

Wave trains induced by circularly polarized electric fields in cardiac tissues.

Xia Feng, Xiang Gao, Juan-Mei Tang, Jun-Ting Pan, Hong Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 11 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Xia FengZhejiang Institute of Modern Physics and Department of Physics, Zhejiang University, Hangzhou 310027, China.
Xiang GaoZhejiang Institute of Modern Physics and Department of Physics, Zhejiang University, Hangzhou 310027, China.
Juan-Mei TangZhejiang Institute of Modern Physics and Department of Physics, Zhejiang University, Hangzhou 310027, China.
Jun-Ting PanInstitute of Physical Oceanography and Ocean College, Zhejiang University, Hangzhou 310058, China.
Hong ZhangZhejiang Institute of Modern Physics and Department of Physics, Zhejiang University, Hangzhou 310027, China.
Institute of Modern Physics · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinically, cardiac fibrillation caused by spiral and turbulent waves can be terminated by globally resetting electric activity in cardiac tissues with a single high-voltage electric shock, but it is usually associated with severe side effects. Presently, a promising alternative uses wave emission from heterogeneities induced by a sequence of low-voltage uniform electric field pulses. Nevertheless, this method can only emit waves locally near obstacles in turbulent waves and thereby requires multiple obstacles to globally synchronize myocardium and thus to terminate fibrillation. Here we propose a new approach using wave emission from heterogeneities induced by a low-voltage circularly polarized electric field (i.e., a rotating uniform electric field). We find that, this approach can generate circular wave trains near obstacles and they propagate outwardly. We study the characteristics of such circular wave trains and further find that, the higher-frequency circular wave trains can effectively suppress spiral turbulence.

Indexed as

Models, CardiovascularAction PotentialsAnimalsCardiac Pacing, ArtificialComputer SimulationElectromagnetic FieldsHeart Conduction SystemHeart RateHumansSynaptic Transmission

Identifiers

PMID26302781
PMCPMC4548189
OpenAlexW2438902175

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.