Evidence map›Paper›PMID 33128187›Full record

ArticleEuropean radiology2021

Reproducibility of left atrial function using cardiac magnetic resonance imaging.

Aseel Alfuhied, Benjamin A Marrow, Sara Elfawal, Gaurav S Gulsin, Mathew P Graham-Brown, Christopher D Steadman, Prathap Kanagala, Gerry P McCann, Anvesha Singh

Abstract read
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

  1. Pooled it
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  6. Clinical and prognostic impact of left atrial strain in non-ischemic cardiomyopathies.The international journal of cardiovascular imaging · 2026
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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

9 authors.

Aseel AlfuhiedDepartment of Cardiovascular Sciences, Cardiovascular Theme National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, Glenfield Hospital, University of Leicester, Groby Road, Leicester, LE3 9QP, UK.
Benjamin A MarrowDepartment of Cardiovascular Sciences, Cardiovascular Theme National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, Glenfield Hospital, University of Leicester, Groby Road, Leicester, LE3 9QP, UK.
Sara ElfawalDepartment of Radiology, University Hospitals of Leicester NHS Trust, Leicester, UK.
Gaurav S GulsinDepartment of Cardiovascular Sciences, Cardiovascular Theme National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, Glenfield Hospital, University of Leicester, Groby Road, Leicester, LE3 9QP, UK.
Mathew P Graham-BrownJohn Walls Renal Unit, University Hospitals Leicester NHS Trust, Leicester, UK.
Christopher D SteadmanDepartment of Cardiology, Poole Hospital NHS Foundation Trust, Poole, UK.
Prathap KanagalaDepartment of Cardiovascular Sciences, Cardiovascular Theme National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, Glenfield Hospital, University of Leicester, Groby Road, Leicester, LE3 9QP, UK.
Gerry P McCannDepartment of Cardiovascular Sciences, Cardiovascular Theme National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, Glenfield Hospital, University of Leicester, Groby Road, Leicester, LE3 9QP, UK.
Anvesha SinghDepartment of Cardiovascular Sciences, Cardiovascular Theme National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, Glenfield Hospital, University of Leicester, Groby Road, Leicester, LE3 9QP, UK. as707@leicester.ac.uk.ORCID http://orcid.org/0000-0003-1112-3973

Funding

British Heart Foundation FS/16/47/32190British Heart Foundation PG/07/068/2334Department of Health CS-2013-13-014National Institute for Health Research CDF 2014-07-045National Institute for Health Research CS-2013-13-014National Institute for Health Research PDF 2011-04-51
6 · The paper itself

Abstract

objectivesTo determine the test-retest reproducibility and observer variability of CMR-derived LA function, using (i) LA strain (LAS) and strain rate (LASR), and (ii) LA volumes (LAV) and emptying fraction (LAEF).

methodsSixty participants with and without cardiovascular disease (aortic stenosis (AS) (n = 16), type 2 diabetes (T2D) (n = 28), end-stage renal disease on haemodialysis (n = 10) and healthy volunteers (n = 6)) underwent two separate CMR scans 7-14 days apart. LAS and LASR, corresponding to LA reservoir, conduit and contractile booster-pump function, were assessed using Feature Tracking software (QStrain v2.0). LAEF was calculated using the biplane area length method (QMass v8.1). Both were assessed using 4- and 2-chamber long-axis standard steady-state free precession cine images, and average values were calculated. Intra- and inter-observer variabilities were assessed in 10 randomly selected participants.

resultsThe test-retest reproducibility was moderate to poor for all strain and strain rate parameters. Overall, strain and strain rate corresponding to reservoir phase (LAS_r, LASR_r) were the most reproducible, yielding the smallest coefficient of variance (CoV) (29.9% for LAS_r, 28.9% for LASR_r). The test-retest reproducibility for LAVs and LAEF was good: LAVmax CoV = 19.6% ICC = 0.89, LAVmin CoV = 27.0% ICC = 0.89 and total LAEF CoV = 15.6% ICC = 0.78. The inter- and intra-observer variabilities were good for all parameters except for conduit function.

conclusionThe test-retest reproducibility of LA strain and strain rate assessment by CMR utilising Feature Tracking is moderate to poor across disease states, whereas LA volume and emptying fraction are more reproducible on CMR. Further improvements in LA strain quantification are needed before widespread clinical application. KEY POINTS: • LA strain and strain rate assessment using Feature Tracking on CMR has moderate to poor test-retest reproducibility across disease states. • The test-retest reproducibility for the biplane method of assessing LA function is better than strain assessment, with lower coefficient of variances and narrower limits of agreement on Bland-Altman plots. • Biplane LA volumetric measurement also has better intra- and inter-observer variability compared to strain assessment.

Indexed as

Atrial Function, LeftDiabetes Mellitus, Type 2Heart AtriaHumansMagnetic Resonance ImagingMagnetic Resonance Imaging, CineObserver VariationPredictive Value of TestsReproducibility of ResultsCardiovascular diseasesLeft atrial functionMagnetic resonance imagingReproducibility of results

Identifiers

PMID33128187
PMCPMC8043954

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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.