Evidence map›Paper›PMID 31822572›Full record

ArticleHeart (British Cardiac Society)2020

Inline perfusion mapping provides insights into the disease mechanism in hypertrophic cardiomyopathy.

Claudia Camaioni, Kristopher D Knott, Joao B Augusto, Andreas Seraphim, Stefania Rosmini, Fabrizio Ricci, Redha Boubertakh, Hui Xue, Rebecca Hughes, Gaby Captur and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Heart (British Cardiac Society), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Society for cardiovascular magnetic resonance expert consensus statement on quantitative myocardial perfusion cardiovascular magnetic resonance imaging.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
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  15. Mechanisms and prognostic impact of myocardial ischaemia in hypertrophic cardiomyopathy.The international journal of cardiovascular imaging · 2023
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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

18 authors at 5 institutions in 3 countries.

Claudia Camaioni *Advanced Cardiac Imaging, Barts Health NHS Trust, London, UK.
Kristopher D Knott *Advanced Cardiac Imaging, Barts Health NHS Trust, London, UK.ORCID 0000-0003-1611-817X
Joao B AugustoAdvanced Cardiac Imaging, Barts Health NHS Trust, London, UK.
Andreas SeraphimAdvanced Cardiac Imaging, Barts Health NHS Trust, London, UK.
Stefania RosminiAdvanced Cardiac Imaging, Barts Health NHS Trust, London, UK.
Fabrizio RicciUniversity of Chieti-Pescara, Chieti, Italy.
Redha BoubertakhAdvanced Cardiac Imaging, Barts Health NHS Trust, London, UK.
Hui XueNational Institutes of Health, Bethesda, Maryland, USA.
Rebecca HughesAdvanced Cardiac Imaging, Barts Health NHS Trust, London, UK.
Gaby CapturAdvanced Cardiac Imaging, Barts Health NHS Trust, London, UK.
Luis Rocha LopesAdvanced Cardiac Imaging, Barts Health NHS Trust, London, UK.
Louise Anne Elizabeth BrownDepartment of Biomedical Imaging Science, University of Leeds, Leeds, UK.ORCID 0000-0002-1327-6482
Charlotte ManistyAdvanced Cardiac Imaging, Barts Health NHS Trust, London, UK.
Steffen Erhard PetersenAdvanced Cardiac Imaging, Barts Health NHS Trust, London, UK.
Sven PleinDepartment of Biomedical Imaging Science, University of Leeds, Leeds, UK.
Peter KellmanNational Institutes of Health, Bethesda, Maryland, USA.
Saidi A MohiddinAdvanced Cardiac Imaging, Barts Health NHS Trust, London, UK.
James C MoonAdvanced Cardiac Imaging, Barts Health NHS Trust, London, UK j.moon@ucl.ac.uk.
Barts Health NHS Trust · GBNational Institutes of Health · USQueen Mary University of London · GBUniversity of Leeds · GBUniversity of Chieti-Pescara · IT

Funding

British Heart Foundation FS/18/83/34025British Heart Foundation PG/13/97/30487British Heart Foundation SP/20/2/34841Department of HealthMedical Research Council MR/T005181/1
6 · The paper itself

Abstract

objectiveIn patients with hypertrophic cardiomyopathy (HCM), the role of small vessel disease and myocardial perfusion remains incompletely understood and data on absolute myocardial blood flow (MBF, mL/g/min) are scarce. We measured MBF using cardiovascular magnetic resonance fully quantitative perfusion mapping to determine the relationship between perfusion, hypertrophy and late gadolinium enhancement (LGE) in HCM.

methods101 patients with HCM with unobstructed epicardial coronary arteries and 30 controls (with matched cardiovascular risk factors) underwent pixel-wise perfusion mapping during adenosine stress and rest. Stress, rest MBF and the myocardial perfusion reserve (MPR, ratio of stress to rest) were calculated globally and segmentally and then associated with segmental wall thickness and LGE.

resultsIn HCM, 79% had a perfusion defect on clinical read. Stress MBF and MPR were reduced compared with controls (mean±SD 1.63±0.60 vs 2.30±0.64 mL/g/min, p<0.0001 and 2.21±0.87 vs 2.90±0.90, p=0.0003, respectively). Globally, stress MBF fell with increasing indexed left ventricle mass (R

conclusionsMicrovascular dysfunction is common in HCM and associated with hypertrophy and LGE. Perfusion can fall during vasodilator stress and is abnormal even in apparently normal myocardium suggesting it may be an early disease marker.

Indexed as

Cardiomyopathy, HypertrophicCoronary CirculationCoronary VesselsFemaleFollow-Up StudiesHumansImage Interpretation, Computer-AssistedMagnetic Resonance Imaging, CineMaleMicrocirculationMiddle AgedMyocardial Perfusion ImagingRetrospective StudiesAdvanced cardiac imagingCardiac magnetic resonance (CMR) imagingHypertrophic cardiomyopathy

Identifiers

PMID31822572
PMCPMC7282549
OpenAlexW2995005726

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.