Evidence map›Paper›PMID 35588677›Full record

ArticleComputers in biology and medicine2022

Confocal microscopy-based estimation of intracellular conductivities in myocardium for modeling of the normal and infarcted heart.

Joachim Greiner, Aparna C Sankarankutty, Thomas Seidel, Frank B Sachse

Open access · hybridAbstract read
In one paragraph

Article in Computers in biology and medicine, 2022. 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
1.0field-weighted citation impact, top 24% 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, 6 citations in OpenAlex.

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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 3 institutions in 2 countries.

Joachim GreinerInstitute for Experimental Cardiovascular Medicine, University Heart Center Freiburg·Bad Krozingen, Freiburg, Germany; Faculty of Medicine, University of Freiburg, Freiburg, Germany. Electronic address: joachim.greiner@uniklinik-freiburg.de.
Aparna C SankarankuttyNora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, Salt Lake City, USA; Department of Biomedical Engineering, University of Utah, Salt Lake City, USA.
Thomas SeidelInstitute of Cellular and Molecular Physiology, Friedrich-Alexander-University of Erlangen-Nürnberg, Erlangen, Germany.
Frank B SachseNora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, Salt Lake City, USA; Department of Biomedical Engineering, University of Utah, Salt Lake City, USA. Electronic address: frank.sachse@utah.edu.
University of Utah · USFriedrich-Alexander-Universität Erlangen-Nürnberg · DEUniversity of Freiburg · DE

Funding

Cellular Remodeling in Heart Failure and after LVAD UnloadingR01HL132067 · NHLBI · UNIVERSITY OF UTAH · PI DRAKOS, STAVROS GEORGE, SACHSE, FRANK BERND · 2017 to 2020
$1.5M
A New Approach for Measurement of Electrical Conductivities of Cardiac TissuesR03EB029625 · NIBIB · UNIVERSITY OF UTAH · PI DOSDALL, DEREK J, JOHNSTON, PETER · 2020 to 2021
$155k
NHLBI NIH HHS R01 HL132067NIBIB NIH HHS R03 EB029625
6 · The paper itself

Abstract

Ventricular arrhythmias are the leading cause of mortality in patients with ischemic heart diseases, such as myocardial infarction (MI). Computational simulation of cardiac electrophysiology provides insights into these arrhythmias and their treatment. However, only sparse information is available on crucial model parameters, for instance, the anisotropic intracellular electrical conductivities. Here, we introduced an approach to estimate these conductivities in normal and MI hearts. We processed and analyzed images from confocal microscopy of left ventricular tissue of a rabbit MI model to generate 3D reconstructions. We derived tissue features including the volume fraction of myocytes (V

Indexed as

HeartMyocardial InfarctionAnimalsArrhythmias, CardiacFibrosisHumansMicroscopy, ConfocalMyocardiumRabbitsCardiac modelingConfocal microscopyIntracellular conductivitiesMyocardial infarction

Identifiers

PMID35588677
PMCPMC10195095
OpenAlexW4225320005

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.