Evidence map›Paper›PMID 27743954›Full record

ArticleJACC. Cardiovascular imaging2017

Quantification of Lipid-Rich Core in Carotid Atherosclerosis Using Magnetic Resonance T

Joshua T Chai, Luca Biasiolli, Linqing Li, Mohammad Alkhalil, Francesca Galassi, Chris Darby, Alison W Halliday, Linda Hands, Timothy Magee, Jeremy Perkins and 5 more

Open access · hybridAbstract readValidation Study
In one paragraph

Article in JACC. Cardiovascular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
7.7field-weighted citation impact, top 2% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 2 institutions in 2 countries.

Joshua T ChaiDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
Luca BiasiolliDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
Linqing LiNational Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.
Mohammad AlkhalilDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
Francesca GalassiDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
Chris DarbyNuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Alison W HallidayNuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Linda HandsNuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Timothy MageeNuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Jeremy PerkinsNuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Ed SidesoNuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Ashok HandaNuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Peter JezzardFMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Matthew D RobsonDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
Robin P ChoudhuryDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom. Electronic address: robin.choudhury@cardiov.ox.ac.uk.
University of Oxford · GBNational Institute of Mental Health · US

Funding

British Heart Foundation PG/11/120/29302British Heart Foundation PG/15/110/31936British Heart Foundation PG/15/74/31747Department of Health 06/301/233Medical Research Council MR/K00266X/1Wellcome Trust
6 · The paper itself

Abstract

objectivesThe aim of this study was to: 1) provide tissue validation of quantitative T

backgroundNoninvasive plaque lipid quantification is appealing both for stratification in treatment selection and as a possible predictor of future plaque rupture. However, current cardiovascular magnetic resonance (CMR) methods are insensitive, require a coalesced mass of lipid core, and rely on multicontrast acquisition with contrast media and extensive post-processing.

methodsPatients scheduled for carotid endarterectomy were recruited for 3-T carotid CMR before surgery. Lipid area was derived from segmented T

resultsLipid area (%) on T

conclusionsCMR T

Indexed as

Magnetic Resonance ImagingPlaque, AtheroscleroticAdultAgedAged, 80 and overArea Under CurveAsymptomatic DiseasesCarotid ArteriesCarotid StenosisFemaleHumansImage Interpretation, Computer-AssistedLipidsMaleMiddle AgedPredictive Value of TestsLipidsatherosclerosiscardiovascular magnetic resonancecarotidlipidplaqueT(2) mapping

Identifiers

PMID27743954
PMCPMC5502905
OpenAlexW2535958499

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.