Evidence map›Paper›PMID 31730467›Full record

ReviewCardiovascular ultrasound2019

Myocardial tissue characterisation using echocardiographic deformation imaging.

Mohammed A Moharram, Regis R Lamberts, Gillian Whalley, Michael J A Williams, Sean Coffey

Open access · goldAbstract readReview
In one paragraph

Review in Cardiovascular ultrasound, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 34 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

5 authors at 2 institutions in 1 country.

Mohammed A MoharramDepartment of Medicine - HeartOtago, Dunedin School of Medicine, University of Otago, Box 56, Dunedin, PO, 9054, New Zealand.
Regis R LambertsDepartment of Physiology - HeartOtago, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand.
Gillian WhalleyDepartment of Medicine - HeartOtago, Dunedin School of Medicine, University of Otago, Box 56, Dunedin, PO, 9054, New Zealand.
Michael J A WilliamsDepartment of Medicine - HeartOtago, Dunedin School of Medicine, University of Otago, Box 56, Dunedin, PO, 9054, New Zealand.
Sean CoffeyDepartment of Medicine - HeartOtago, Dunedin School of Medicine, University of Otago, Box 56, Dunedin, PO, 9054, New Zealand. sean.coffey@otago.ac.nz.ORCID http://orcid.org/0000-0003-2312-4666
Dunedin Public Hospital · NZUniversity of Otago · NZ

Funding

Department of Medicine, University of Otago Tony Hocken Scholarship
6 · The paper itself

Abstract

Myocardial pathology results in significant morbidity and mortality, whether due to primary cardiomyopathic processes or secondary to other conditions such as ischemic heart disease. Cardiac imaging techniques characterise the underlying tissue directly, by assessing a signal from the tissue itself, or indirectly, by inferring tissue characteristics from global or regional function. Cardiac magnetic resonance imaging is currently the most investigated imaging modality for tissue characterisation, but, due to its accessibility, advanced echocardiography represents an attractive alternative. Speckle tracking echocardiography (STE) is a reproducible technique used to assess myocardial deformation at both segmental and global levels. Since distinct myocardial pathologies affect deformation differently, information about the underlying tissue can be inferred by STE. In this review, the current available studies correlating STE deformation parameters with underlying tissue characteristics in humans are examined, with separate emphasis on global and segmental analysis. The current knowledge is placed in the context of integrated backscatter and the future of echocardiographic based tissue characterisation is discussed. The use of these imaging techniques to more precisely phenotype myocardial pathology more precisely will allow the design of translational cardiac research studies and, potentially, tailored management strategies.

Indexed as

CardiomyopathiesEchocardiographyHeart VentriclesHumansMyocardial ContractionVentricular Function, LeftEchocardiographyFibrosisMyocardial histologySpeckle trackingStrain

Identifiers

PMID31730467
PMCPMC6858720
OpenAlexW2989339473

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.