Evidence map›Paper›PMID 40818667›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance

Cardiovascular magnetic resonance versus coronary computed tomography angiography with fractional flow reserve for diagnosing obstructive coronary artery disease in higher risk patients: rationale and design of CONCORD-A prospective, single-center diagnostic accuracy study.

Simran Shergill, Mohamed Elshibly, Kelly S Parke, Rachel England, Joanne V Wormleighton, Indrajeet Das, Gaurav S Gulsin, Sandeep S Hothi, Robert Heggie, Olivia Wu and 6 more

Abstract readClinical Trial ProtocolComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Stress T1 mapping for the detection of obstructive coronary artery disease: a prospective diagnostic accuracy study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    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

16 authors.

Simran ShergillDepartment of Cardiovascular Sciences, University of Leicester, the National Institute for Health and Care Research Leicester Biomedical Research Centre and British Heart Foundation Centre of Research Excellence, Glenfield Hospital, Leicester, UK.
Mohamed ElshiblyDepartment of Cardiovascular Sciences, University of Leicester, the National Institute for Health and Care Research Leicester Biomedical Research Centre and British Heart Foundation Centre of Research Excellence, Glenfield Hospital, Leicester, UK.
Kelly S ParkeDepartment of Cardiovascular Sciences, University of Leicester, the National Institute for Health and Care Research Leicester Biomedical Research Centre and British Heart Foundation Centre of Research Excellence, Glenfield Hospital, Leicester, UK; Department of Radiology, University Hospitals of Leicester NHS Trust, Leicester, UK.
Rachel EnglandDepartment of Cardiovascular Sciences, University of Leicester, the National Institute for Health and Care Research Leicester Biomedical Research Centre and British Heart Foundation Centre of Research Excellence, Glenfield Hospital, Leicester, UK; Department of Radiology, University Hospitals of Leicester NHS Trust, Leicester, UK.
Joanne V WormleightonDepartment of Cardiovascular Sciences, University of Leicester, the National Institute for Health and Care Research Leicester Biomedical Research Centre and British Heart Foundation Centre of Research Excellence, Glenfield Hospital, Leicester, UK; Department of Radiology, University Hospitals of Leicester NHS Trust, Leicester, UK.
Indrajeet DasDepartment of Radiology, University Hospitals of Leicester NHS Trust, Leicester, UK.
Gaurav S GulsinDepartment of Cardiovascular Sciences, University of Leicester, the National Institute for Health and Care Research Leicester Biomedical Research Centre and British Heart Foundation Centre of Research Excellence, Glenfield Hospital, Leicester, UK.
Sandeep S HothiHeart and Lung Centre, Royal Wolverhampton NHS Trust, Wolverhampton, UK; Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK.
Robert HeggieHealth Economics and Health Technology Assessment, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Olivia WuHealth Economics and Health Technology Assessment, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Peter KellmanNational Heart, Lung, and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA.
Alasdair McIntoshRobertson Centre for Biostatistics, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Alex McConnachieRobertson Centre for Biostatistics, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Andrew LadwiniecDepartment of Cardiovascular Sciences, University of Leicester, the National Institute for Health and Care Research Leicester Biomedical Research Centre and British Heart Foundation Centre of Research Excellence, Glenfield Hospital, Leicester, UK; Department of Cardiology, University Hospitals of Leicester NHS Trust, Leicester, UK.
Gerry P McCannDepartment of Cardiovascular Sciences, University of Leicester, the National Institute for Health and Care Research Leicester Biomedical Research Centre and British Heart Foundation Centre of Research Excellence, Glenfield Hospital, Leicester, UK.
J Ranjit ArnoldDepartment of Cardiovascular Sciences, University of Leicester, the National Institute for Health and Care Research Leicester Biomedical Research Centre and British Heart Foundation Centre of Research Excellence, Glenfield Hospital, Leicester, UK. Electronic address: jra14@leicester.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn patients with suspected coronary artery disease (CAD), the optimal diagnostic algorithm remains uncertain. Non-invasive imaging plays a central role as a "gatekeeper" to invasive coronary angiography, with both cardiovascular magnetic resonance (CMR) and coronary computed tomography angiography (CCTA) with fractional flow reserve (FFR STUDY DESIGN AND METHODOLOGY: CONCORD is a prospective, single-center study comparing the diagnostic accuracy of CMR and CCTA/FFR

conclusionCONCORD will comprehensively evaluate two frontline non-invasive functional imaging modalities in patients with suspected angina and determine the comparative accuracy of CCTA/FFR

Indexed as

Computed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary StenosisCoronary VesselsFractional Flow Reserve, MyocardialMagnetic Resonance AngiographyFemaleHumansObservational Studies as TopicPredictive Value of TestsProspective StudiesReproducibility of ResultsResearch DesignRisk FactorsSeverity of Illness IndexDiagnostic accuracyHybrid imagingMyocardial ischemiaMyocardial perfusionStable angina

Identifiers

PMID40818667
PMCPMC13265426

What OpenQuestion holds

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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.