Evidence map›Paper›PMID 36744034›Full record

ArticleFrontiers in physiology2023

Tipping the scales of understanding: An engineering approach to design and implement whole-body cardiac electrophysiology experimental models.

Brian Zenger, Jake A Bergquist, Anna Busatto, Wilson W Good, Lindsay C Rupp, Vikas Sharma, Rob S MacLeod

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

7 authors at 1 institution in 1 country.

Brian ZengerScientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States.
Jake A BergquistScientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States.
Anna BusattoScientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States.
Wilson W GoodAcutus Medical, Carslbad, CA, United States.
Lindsay C RuppScientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States.
Vikas SharmaSpencer Eccles School of Medicine, University of Utah, Salt Lake City, UT, United States.
Rob S MacLeodScientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States.
University of Utah · US

Funding

TRD - VisualizationP41GM103545 · NIGMS · UNIVERSITY OF UTAH · PI MACLEOD, ROB S. · 2012 to 2019
$9.7M
Novel Characterization and Detection Techniques for Acute Myocardial IschemiaF30HL149327 · NHLBI · UNIVERSITY OF UTAH · PI ZENGER, BRIAN · 2020 to 2022
$117k
NHLBI NIH HHS F30 HL149327NIGMS NIH HHS P41 GM103545
6 · The paper itself

Abstract

The study of cardiac electrophysiology is built on experimental models that span all scales, from ion channels to whole-body preparations. Novel discoveries made at each scale have contributed to our fundamental understanding of human cardiac electrophysiology, which informs clinicians as they detect, diagnose, and treat complex cardiac pathologies. This expert review describes an engineering approach to developing experimental models that is applicable across scales. The review also outlines how we applied the approach to create a set of multiscale whole-body experimental models of cardiac electrophysiology, models that are driving new insights into the response of the myocardium to acute ischemia. Specifically, we propose that researchers must address three critical requirements to develop an effective experimental model: 1) how the experimental model replicates and maintains human physiological conditions, 2) how the interventions possible with the experimental model capture human pathophysiology, and 3) what signals need to be measured, at which levels of resolution and fidelity, and what are the resulting requirements of the measurement system and the access to the organs of interest. We will discuss these requirements in the context of two examples of whole-body experimental models, a closed chest

Indexed as

acute myocardial ischemia (AMI)cardiac electrophysiologyelectrocardiographic imaging (ECGI)experimental modelsisolated hearttorso tank

Identifiers

PMID36744034
PMCPMC9893785
OpenAlexW4317517525

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.