Evidence map›Paper›PMID 27378095›Full record

ArticleThe international journal of cardiovascular imaging2016

Reproducibility of coronary atherosclerotic plaque characteristics in populations with low, intermediate, and high prevalence of coronary artery disease by multidetector computer tomography: a guide to reliable visual coronary plaque assessments.

Martina C de Knegt, Jesper J Linde, Andreas Fuchs, Børge G Nordestgaard, Lars V Køber, Jens D Hove, Klaus F Kofoed

Abstract readComparative Study
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In one paragraph

Article in The international journal of cardiovascular imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

7 authors.

Martina C de KnegtDepartment of Cardiology, The Heart Center, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen, Denmark. martinadeknegt@gmail.com.
Jesper J LindeDepartment of Cardiology, The Heart Center, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen, Denmark.
Andreas FuchsDepartment of Cardiology, The Heart Center, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen, Denmark.
Børge G NordestgaardDepartment of Clinical Biochemistry, Herlev Hospital, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Lars V KøberDepartment of Cardiology, The Heart Center, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen, Denmark.
Jens D HoveDepartment of Cardiology, Hvidovre Hospital, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Klaus F KofoedDepartment of Cardiology, The Heart Center, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the interobserver agreement of visual coronary plaque characteristics by 320-slice multidetector computed tomography (MDCT) in three populations with low, intermediate and high CAD prevalence and to identify determinants for the reproducible assessment of these plaque characteristics. 150 patients, 50 asymptomatic subjects from the general population (low CAD prevalence), 50 symptomatic non-acute coronary syndrome (non-ACS) patients (intermediate CAD prevalence), and 50 ACS patients (high CAD prevalence), matched according to age and gender, were retrospectively enrolled. All coronary segments were evaluated for overall image quality, evaluability, presence of CAD, coronary stenosis, plaque composition, plaque focality, and spotty calcification by four readers. Interobserver agreement was assessed using Fleiss' Kappa (κ) and intra-class correlation (ICC). Widely used clinical parameters (overall scan quality, presence of CAD, and determination of coronary stenosis) showed good agreement among the four readers, (ICC = 0.66, κ = 0.73, ICC = 0.74, respectively). When accounting for heart rate, body mass index, plaque location, and coronary stenosis above/below 50 %, interobserver agreement for plaque composition, presence of CAD, and coronary stenosis improved to either good or excellent, (κ = 0.61, κ = 0.81, ICC = 0.78, respectively). Spotty calcification was the least reproducible parameter investigated (κ = 0.33). Across subpopulations, reproducibility of coronary plaque characteristics generally decreased with increasing CAD prevalence except for plaque composition, (limits of agreement: ±2.03, ±1.96, ±1.79 for low, intermediate and high CAD prevalence, respectively). 320-slice MDCT can be used to assess coronary plaque characteristics, except for spotty calcification. Reproducibility estimates are influenced by heart rate, body size, plaque location, and degree of luminal stenosis.

Indexed as

Computed Tomography AngiographyMultidetector Computed TomographyAgedCoronary AngiographyCoronary Artery DiseaseCoronary StenosisCoronary VesselsDenmarkFemaleHumansMaleMiddle AgedObserver VariationPlaque, AtheroscleroticPredictive Value of TestsPrevalenceAgreementCardiac Computed Tomography AngiographyCoronary plaqueMultidetector computed tomographyReproducibility

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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.