Evidence map›Paper›PMID 26174854›Full record

Trial reportJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2015

Individual component analysis of the multi-parametric cardiovascular magnetic resonance protocol in the CE-MARC trial.

David P Ripley, Manish Motwani, Julia M Brown, Jane Nixon, Colin C Everett, Petra Bijsterveld, Neil Maredia, Sven Plein, John P Greenwood

Open access · goldAbstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Additive value of 3T cardiovascular magnetic resonance coronary angiography for detecting coronary artery disease.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2018
    Article
  9. Review of Journal of Cardiovascular Magnetic Resonance (JCMR) 2015-2016 and transition of the JCMR office to Boston.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2017
    Review
  10. Review
  11. Review of Journal of Cardiovascular Magnetic Resonance 2015.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2016
    Review
  12. Article
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 at 1 institution in 1 country.

David P RipleyMultidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK. d.ripley@leeds.ac.uk.
Manish MotwaniMultidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK. m.motwani@leeds.ac.uk.
Julia M BrownClinical Trials Research Unit, University of Leeds, Clinical Trials Research House, 71-75 Clarendon Rd, Leeds, UK. j.m.b.brown@leeds.ac.uk.
Jane NixonClinical Trials Research Unit, University of Leeds, Clinical Trials Research House, 71-75 Clarendon Rd, Leeds, UK. j.e.nixon@leeds.ac.uk.
Colin C EverettClinical Trials Research Unit, University of Leeds, Clinical Trials Research House, 71-75 Clarendon Rd, Leeds, UK. c.c.everett@leeds.ac.uk.
Petra BijsterveldMultidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK. p.bijsterveld@leeds.ac.uk.
Neil MarediaMultidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK. neil.maredia@stees.nhs.uk.
Sven PleinMultidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK. s.plein@leeds.ac.uk.
John P GreenwoodMultidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK. j.greenwood@leeds.ac.uk.
University of Leeds · GB

Funding

British Heart Foundation FS/10/62/2840British Heart Foundation FS/10/62/28409British Heart Foundation RG/05/004British Heart Foundation SP/12/1/29062
6 · The paper itself

Abstract

backgroundThe CE-MARC study assessed the diagnostic performance investigated the use of cardiovascular magnetic resonance (CMR) in patients with suspected coronary artery disease (CAD). The study used a multi-parametric CMR protocol assessing 4 components: i) left ventricular function; ii) myocardial perfusion; iii) viability (late gadolinium enhancement (LGE)) and iv) coronary magnetic resonance angiography (MRA). In this pre-specified CE-MARC sub-study we assessed the diagnostic accuracy of the individual CMR components and their combinations.

methodsAll patients from the CE-MARC population (n = 752) were included using data from the original blinded-read. The four individual core components of the CMR protocol was determined separately and then in paired and triplet combinations. Results were then compared to the full multi-parametric protocol.

resultsCMR and X-ray angiography results were available in 676 patients. The maximum sensitivity for the detection of significant CAD by CMR was achieved when all four components were used (86.5%). Specificity of perfusion (91.8%), function (93.7%) and LGE (95.8%) on its own was significantly better than specificity of the multi-parametric protocol (83.4%) (all P < 0.0001) but with the penalty of decreased sensitivity (86.5% vs. 76.9%, 47.4% and 40.8% respectively). The full multi-parametric protocol was the optimum to rule-out significant CAD (Likelihood Ratio negative (LR-) 0.16) and the LGE component alone was the best to rue-in CAD (LR+ 9.81). Overall diagnostic accuracy was similar with the full multi-parametric protocol (85.9%) compared to paired and triplet combinations. The use of coronary MRA within the full multi-parametric protocol had no additional diagnostic benefit compared to the perfusion/function/LGE combination (overall accuracy 84.6% vs. 84.2% (P = 0.5316); LR- 0.16 vs. 0.21; LR+ 5.21 vs. 5.77).

conclusionsFrom this pre-specified sub-analysis of the CE-MARC study, the full multi-parametric protocol had the highest sensitivity and was the optimal approach to rule-out significant CAD. The LGE component alone was the optimal rule-in strategy. Finally the inclusion of coronary MRA provided no additional benefit when compared to the combination of perfusion/function/LGE.

trial registrationCurrent Controlled Trials ISRCTN77246133.

Indexed as

Coronary CirculationAgedCoronary AngiographyCoronary Artery DiseaseCoronary VesselsFemaleHumansMagnetic Resonance AngiographyMagnetic Resonance Imaging, CineMaleMiddle AgedMyocardial Perfusion ImagingPredictive Value of TestsProspective StudiesReproducibility of ResultsVentricular Function, Left

Identifiers

PMID26174854
PMCPMC4502933
OpenAlexW1843456789

What OpenQuestion holds

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LicenceCC BY
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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.