Evidence map›Paper›PMID 33931818›Full record

ReviewCurrent heart failure reports2021

Quantification of Myocardial Deformation Applying CMR-Feature-Tracking-All About the Left Ventricle?

Torben Lange, Andreas Schuster

Abstract readReview
In one paragraph

Review in Current heart failure reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
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  5. Low-flow in aortic valve stenosis patients with reduced ejection fraction does not depend on left ventricular function.Clinical research in cardiology : official journal of the German Cardiac Society · 2025
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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

2 authors.

Torben LangeDepartment of Cardiology and Pneumology, Georg-August University Göttingen and German Centre for Cardiovascular Research (DZHK), partner site Göttingen, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany.ORCID 0000-0003-0505-2582
Andreas SchusterDepartment of Cardiology and Pneumology, Georg-August University Göttingen and German Centre for Cardiovascular Research (DZHK), partner site Göttingen, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany. andreas.schuster@med.uni-goettingen.de.ORCID 0000-0003-1508-1125

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewCardiac magnetic resonance-feature-tracking (CMR-FT)-based deformation analyses are key tools of cardiovascular imaging and applications in heart failure (HF) diagnostics are expanding. In this review, we outline the current range of application with diagnostic and prognostic implications and provide perspectives on future trends of this technique. RECENT

findingsBy applying CMR-FT in different cardiovascular diseases, increasing evidence proves CMR-FT-derived parameters as powerful diagnostic and prognostic imaging biomarkers within the HF continuum partly outperforming traditional clinical values like left ventricular ejection fraction. Importantly, HF diagnostics and deformation analyses by CMR-FT are feasible far beyond sole left ventricular performance evaluation underlining the holistic nature and accuracy of this imaging approach. As an established and continuously evolving technique with strong prognostic implications, CMR-FT deformation analyses enable comprehensive cardiac performance quantification of all cardiac chambers.

Indexed as

Heart FailureHeart VentriclesHumansMagnetic Resonance Imaging, CinePredictive Value of TestsReproducibility of ResultsStroke VolumeVentricular Function, LeftCardiovascular MRICMR-feature-trackingImproved risk stratificationMyocardial deformation analysisMyocardial strain

Identifiers

PMID33931818
PMCPMC8342400

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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.