Evidence map›Paper›PMID 36301405›Full record

ReviewCurrent cardiology reports2022

Computational Analysis of Cardiac Contractile Function.

Xinyuan Zhang, Ritzia Vinu Alexander, Jie Yuan, Yichen Ding

Open access · greenAbstract readReview
In one paragraph

Review in Current cardiology reports, 2022. 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
0.8field-weighted citation impact, top 25% 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, 5 citations in OpenAlex.

  1. Light-Sheet Imaging to Reveal Cardiac Structure in Rodent Hearts.Journal of visualized experiments : JoVE · 2024
    Article
  2. 4D Light-sheet Imaging of Zebrafish Cardiac Contraction.Journal of visualized experiments : JoVE · 2024
    Article
  3. 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 1 institution in 1 country.

Xinyuan Zhang *Department of Bioengineering, Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, Richardson, TX, 75080, USA.
Ritzia Vinu Alexander *Department of Bioengineering, Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, Richardson, TX, 75080, USA.
Jie YuanDepartment of Bioengineering, Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, Richardson, TX, 75080, USA.
Yichen DingDepartment of Bioengineering, Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, Richardson, TX, 75080, USA. yichen.ding@utdallas.edu.ORCID 0000-0002-6242-3506
The University of Texas at Dallas · US

Funding

Integrating imaging and computation to characterize neural crest cells in the myocardial development and regenerationR00HL148493 · NHLBI · UNIVERSITY OF TEXAS DALLAS · PI DING, YICHEN · 2020 to 2022
$730k
NHLBI NIH HHS R00 HL148493NHLBI NIH HHS R00HL148493
6 · The paper itself

Abstract

purpose of reviewHeart failure results in the high incidence and mortality all over the world. Mechanical properties of myocardium are critical determinants of cardiac function, with regional variations in myocardial contractility demonstrated within infarcted ventricles. Quantitative assessment of cardiac contractile function is therefore critical to identify myocardial infarction for the early diagnosis and therapeutic intervention. RECENT

findingsCurrent advancement of cardiac functional assessments is in pace with the development of imaging techniques. The methods tailored to advanced imaging have been widely used in cardiac magnetic resonance, echocardiography, and optical microscopy. In this review, we introduce fundamental concepts and applications of representative methods for each imaging modality used in both fundamental research and clinical investigations. All these methods have been designed or developed to quantify time-dependent 2-dimensional (2D) or 3D cardiac mechanics, holding great potential to unravel global or regional myocardial deformation and contractile function from end-systole to end-diastole. Computational methods to assess cardiac contractile function provide a quantitative insight into the analysis of myocardial mechanics during cardiac development, injury, and remodeling.

Indexed as

Myocardial ContractionMyocardiumDiastoleHeartHumansSystoleBiomedical imagingCardiac contractile functionComputational analysisHeart failure

Identifiers

PMID36301405
PMCPMC10091868
OpenAlexW4307431990

What OpenQuestion holds

Textmetadata
LicenceTDM
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.