Evidence map›Paper›PMID 32591001›Full record

ReviewCardiovascular ultrasound2020

A review of current trends in three-dimensional analysis of left ventricular myocardial strain.

Yosuke Nabeshima, Yoshihiro Seo, Masaaki Takeuchi

Abstract readReview
In one paragraph

Review in Cardiovascular ultrasound, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. [Area strain as prognostic factor of functional recovering in myocardial infarction].Revista medica del Instituto Mexicano del Seguro Social · 2025
    Observational
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  12. Review
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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

3 authors.

Yosuke NabeshimaSecond Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi, Kitakyushu, 807-8555, Japan. y.nabeshima1016@gmail.com.ORCID http://orcid.org/0000-0003-4329-2819
Yoshihiro SeoDepartment of Cardiology, Graduate School of Medical Sciences, Nagoya City University, Nagoya, Japan.
Masaaki TakeuchiDepartment of Laboratory and Transfusion Medicine, School of Medicine, Hospital of University of Occupational and Environmental Health, Kitakyushu, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) left ventricular (LV) myocardial strain measurements using transthoracic 3D echocardiography speckle tracking analysis have several advantages over two-dimensional (2D) LV strain measurements, because 3D strain values are derived from the entire LV myocardium, yielding more accurate estimates of global and regional LV function. In this review article, we summarize the current status of 3D LV myocardial strain. Specifically, we describe how 3D LV strain analysis is performed. Next, we compare characteristics of 2D and 3D strain, and we explain validation of 3D strain measurements, feasibility and measurement differences between 2D and 3D strain, reference values of 3D strain, and its applications in several clinical scenarios. In some parts of this review, we used a meta-analysis to draw reliable conclusions. We also describe the added value of 3D over 2D strain in several specific pathologies and prognoses. Finally, we discuss novel techniques using 3D strain and suggest its future directions.

Indexed as

Echocardiography, Three-DimensionalHeart VentriclesHumansMyocardial ContractionReproducibility of ResultsVentricular Dysfunction, LeftVentricular Function, Left3D echocardiographyLeft ventricular strainSpeckle tracking

Identifiers

PMID32591001
PMCPMC7320541

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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.