Evidence map›Paper›PMID 39080895›Full record

ArticleJournal of imaging2021

Quantitative Analyses of the Left Ventricle Volume and Cardiac Function in Normal and Infarcted Yucatan Minipigs.

Anna V Naumova, Gregory Kicska, Kiana Pimentel, Lauren E Neidig, Hiroshi Tsuchida, Kenta Nakamura, Charles E Murry

Abstract read
In one paragraph

Article in Journal of imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Anna V NaumovaDepartment of Radiology, University of Washington, Seattle, WA 98109, USA.
Gregory KicskaDepartment of Radiology, University of Washington, Seattle, WA 98109, USA.
Kiana PimentelDepartment of Radiology, University of Washington, Seattle, WA 98109, USA.
Lauren E NeidigInstitute for Stem Cells and Regenerative Medicine, University of Washington, Seattle, WA 98109, USA.
Hiroshi TsuchidaInstitute for Stem Cells and Regenerative Medicine, University of Washington, Seattle, WA 98109, USA.
Kenta NakamuraInstitute for Stem Cells and Regenerative Medicine, University of Washington, Seattle, WA 98109, USA.
Charles E MurryInstitute for Stem Cells and Regenerative Medicine, University of Washington, Seattle, WA 98109, USA.

Funding

Primate Heart RegenerationR01HL128362 · NHLBI · UNIVERSITY OF WASHINGTON · PI MURRY, CHARLES E · 2016 to 2019
$3.5M
CSR NIH HHS R01HL128362
6 · The paper itself

Abstract

(1) Background: The accuracy of the left ventricular volume (LVV) and contractility measurements with cardiac magnetic resonance imaging (CMRI) is decreased if the papillary muscles are abnormally enlarged, such as in hypertrophic cardiomyopathy in human patients or in pig models of human diseases. The purpose of this work was to establish the best method of LVV quantification with CMRI in pigs. (2) Methods: The LVV in 29 Yucatan minipig hearts was measured using two different techniques: the "standard method", which uses smooth contouring along the endocardial surface and adds the papillary volume to the ventricular cavity volume, and the "detailed method", which traces the papillary muscles and trabeculations and adds them to the ventricular mass. (3) Results: Papillary muscles add 21% to the LV mass in normal and infarcted hearts of Yucatan minipigs. The inclusion or exclusion of these from the CMRI analysis significantly affected the study results. In the normal pig hearts, the biggest differences were found in measurements of the LVV, ejection fraction (EF), LV mass and indices derived from the LV mass (

Indexed as

animal modelsheart contractilityleft ventricular chamber volumepapillary muscles

Identifiers

PMID39080895
PMCPMC8321358

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Registered trials

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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.