Evidence map›Paper›PMID 33752696›Full record

Trial reportJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2021

Cardiovascular magnetic resonance accurately detects obstructive coronary artery disease in suspected non-ST elevation myocardial infarction: a sub-analysis of the CARMENTA Trial.

Yvonne J M van Cauteren, Martijn W Smulders, Ralph A L J Theunissen, Suzanne C Gerretsen, Bouke P Adriaans, Geertruida P Bijvoet, Alma M A Mingels, Sander M J van Kuijk, Simon Schalla, Harry J G M Crijns and 4 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01559467 (The Supplementary Role of Cardiovascular Magnetic Resonance Imaging and Computed Tomography Angiography to Routine Clinical Practice in Suspected Non-ST Elevation Myocardial Infarction - A Randomized Controlled Trial), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% 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.

NCT01559467 nacompletednot on this map

The Supplementary Role of Cardiovascular Magnetic Resonance Imaging and Computed Tomography Angiography to Routine Clinical Practice in Suspected Non-ST Elevation Myocardial Infarction - A Randomized Controlled Trial

TypeinterventionalSponsorMaastricht University Medical CenterRan2012 to 2017Enrolled300ConditionsChest Pain, Myocardial Infarction, Acute Coronary Syndrome, Coronary Artery DiseaseArmsCardiovascular Magnetic Resonance Imaging, Computed Tomography Angiography
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 2021-2022 state of our JCMR.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
    Review
  5. Review
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

14 authors at 2 institutions in 2 countries.

Yvonne J M van CauterenDepartment of Radiology and Nuclear Medicine, Maastricht UMC+, Maastricht, The Netherlands.
Martijn W SmuldersDepartment of Cardiology, Maastricht UMC+, Maastricht, The Netherlands.
Ralph A L J TheunissenDepartment of Cardiology, Maastricht UMC+, Maastricht, The Netherlands.
Suzanne C GerretsenDepartment of Radiology and Nuclear Medicine, Maastricht UMC+, Maastricht, The Netherlands.ORCID 0000-0003-3339-9890
Bouke P AdriaansDepartment of Radiology and Nuclear Medicine, Maastricht UMC+, Maastricht, The Netherlands.ORCID 0000-0002-4409-6206
Geertruida P BijvoetDepartment of Cardiology, Maastricht UMC+, Maastricht, The Netherlands.ORCID 0000-0002-3475-0155
Alma M A MingelsDepartment of Clinical Chemistry, Maastricht UMC+, Maastricht, The Netherlands.ORCID 0000-0002-4648-5053
Sander M J van KuijkDepartment of Clinical Epidemiology & Medical Technology Assessment (KEMTA), Maastricht UMC+, Maastricht, The Netherlands.ORCID 0000-0003-2796-729X
Simon SchallaDepartment of Radiology and Nuclear Medicine, Maastricht UMC+, Maastricht, The Netherlands.
Harry J G M CrijnsDepartment of Cardiology, Maastricht UMC+, Maastricht, The Netherlands.ORCID 0000-0003-1073-5337
Raymond J KimDuke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, NC, USA.ORCID 0000-0003-0379-5868
Joachim E WildbergerDepartment of Radiology and Nuclear Medicine, Maastricht UMC+, Maastricht, The Netherlands.ORCID 0000-0002-4810-6854
Jordi HeijmanDepartment of Cardiology, Maastricht UMC+, Maastricht, The Netherlands.ORCID 0000-0002-1418-108X
Sebastiaan C A M BekkersDepartment of Cardiology, Maastricht UMC+, Maastricht, The Netherlands. s.bekkers@mumc.nl.ORCID 0000-0003-1322-5797
Maastricht University Medical Centre · NLDuke Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInvasive coronary angiography (ICA) is still the reference test in suspected non-ST elevation myocardial infarction (NSTEMI), although a substantial number of patients do not have obstructive coronary artery disease (CAD). Early cardiovascular magnetic resonance (CMR) may be a useful gatekeeper for ICA in this setting. The main objective was to investigate the accuracy of CMR to detect obstructive CAD in NSTEMI.

methodsThis study is a sub-analysis of a randomized controlled trial investigating whether a non-invasive imaging-first strategy safely reduced the number of ICA compared to routine clinical care in suspected NSTEMI (acute chest pain, non-diagnostic electrocardiogram, high sensitivity troponin T > 14 ng/L), and included 51 patients who underwent CMR prior to ICA. A stepwise approach was used to assess the diagnostic accuracy of CMR to detect (1) obstructive CAD (diameter stenosis ≥ 70% by ICA) and (2) an adjudicated final diagnosis of acute coronary syndrome (ACS). First, in all patients the combination of cine, T2-weighted and late gadolinium enhancement (LGE) imaging was evaluated for the presence of abnormalities consistent with a coronary etiology in any sequence. Hereafter and only when the scan was normal or equivocal, adenosine stress-perfusion CMR was added.

resultsOf 51 patients included (63 ± 10 years, 51% male), 34 (67%) had obstructive CAD by ICA. The sensitivity, specificity and overall accuracy of the first step to diagnose obstructive CAD were 79%, 71% and 77%, respectively. Additional vasodilator stress-perfusion CMR was performed in 19 patients and combined with step one resulted in an overall sensitivity of 97%, specificity of 65% and accuracy of 86%. Of the remaining 17 patients with non-obstructive CAD, 4 (24%) had evidence for a myocardial infarction on LGE, explaining the modest specificity. The sensitivity, specificity and overall accuracy to diagnose ACS (n = 43) were 88%, 88% and 88%, respectively.

conclusionCMR accurately detects obstructive CAD and ACS in suspected NSTEMI. Non-obstructive CAD is common with CMR still identifying an infarction in almost one-quarter of patients. CMR should be considered as an early diagnostic approach in suspected NSTEMI.

trial registrationThe CARMENTA trial has been registered at ClinicalTrials.gov with identifier NCT01559467.

Indexed as

Magnetic Resonance Imaging, CineAcute Coronary SyndromeAdenosineAgedCoronary Artery DiseaseCoronary StenosisFemaleHumansMaleMiddle AgedMyocardial Perfusion ImagingNon-ST Elevated Myocardial InfarctionPredictive Value of TestsReproducibility of ResultsVasodilator AgentsAdenosineVasodilator AgentsAcute coronary syndromeCardiovascular magnetic resonanceCoronary angiographyCoronary artery diseaseDiagnostic accuracyHigh-sensitivity cardiac troponinNon-ST elevation myocardial infarction

Identifiers

PMID33752696
PMCPMC7983380
OpenAlexW3136452635

What OpenQuestion holds

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Registered trials

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.