Evidence map›Paper›PMID 37831139›Full record

SynthesisEuropean radiology2024

Combination of computed tomography angiography with coronary artery calcium score for improved diagnosis of coronary artery disease: a collaborative meta-analysis of stable chest pain patients referred for invasive coronary angiography.

Mahmoud Mohamed, Maria Bosserdt, Viktoria Wieske, Benjamin Dubourg, Hatem Alkadhi, Mario J Garcia, Sebastian Leschka, Elke Zimmermann, Abbas A Shabestari, Bjarne L Nørgaard and 27 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  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

37 authors at 20 institutions in 15 countries.

Mahmoud MohamedDepartment of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Maria BosserdtDepartment of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Viktoria WieskeDepartment of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Benjamin DubourgRadiology Department, Clinique Saint Augustin, 112-114 avenue d'Arès, 33000, Bordeaux, France.
Hatem AlkadhiDiagnostic and Interventional, Radiology University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Mario J GarciaDepartment of Cardiology, Montefiore, University Hospital for the Albert Einstein College of Medicine, New York City, NY, USA.
Sebastian LeschkaDepartment of Radiology, Kantonsspital St Gallen, St Gallen, Switzerland.
Elke ZimmermannDepartment of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Abbas A ShabestariDepartment of Radiology, Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Bjarne L NørgaardDepartment of Cardiology, Aarhus Universtity Hospital, Aarhus, Denmark.
Matthijs F L MeijsDepartment of Cardiology, University Medical Centre Utrecht, Utrecht, Netherlands.
Kristian A ØvrehusDepartment of Cardiology, Odense University Hospital, Odense, Denmark.
Axel C P DiederichsenDepartment of Cardiology, Odense University Hospital, Odense, Denmark.
Juhani KnuutiTurku University Hospital and University of Turku, Turku, Finland.
Bjørn A HalvorsenDepartment of Cardiology, Ostfold Hospital Trust, Grålum, Norway.
Vladymir Mendoza-RodriguezDepartment of Cardiology, National Institute of Cardiology and Cardiovascular Surgery, Havana, Cuba.
Yung-Liang WanDepartment of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, 333, Taoyuan City, Taiwan.
Nuno BettencourtDepartment of Cardiology, Centro Hospitalar de Vila Nova de Gaia, Vila Nova de Gaia, Portugal.
Eugenio MartuscelliDepartment of Internal Medicine, University of Rome Tor Vergata, Rome, Italy.
Ronny R BuechelDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Hans MickleyDepartment of Cardiology, Odense University Hospital, Odense, Denmark.
Kai SunDepartment of Radiology, Baotou Central Hospital, Inner Mongolia Province, Baotou, China.
Simone MuragliaDepartment of Cardiology, S Chiara Hospital, Trento, Italy.
Philipp A KaufmannDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Bernhard A HerzogHeartClinic Lucerne, Lucerne, Switzerland.
Jean-Claude TardifMontreal Heart Institute, Université de Montréal, Montréal, Canada.
Georg M SchützDepartment of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Michael LauleDepartment of Cardiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
David E NewbyCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Stephan AchenbachDepartment of Cardiology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Matthew BudoffDepartment of Cardiology, Lundquist Institute at Harbor-UCLA, Torrance, CA, USA.
Robert HaaseDepartment of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Federico BiavatiDepartment of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Aldo Vásquez MézquitaDepartment of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Peter SchlattmannInstitute of Medical Statistics, Computer Sciences and Data Science, University Hospital of Friedrich Schiller University Jena, Jena, Germany.
Marc DeweyDepartment of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany. dewey@charite.de.ORCID http://orcid.org/0000-0002-4402-2733
COME-CCT
Charité - Universitätsmedizin Berlin · DEOdense University Hospital · DKUniversity Hospital of Zurich · CHAarhus University Hospital · DKAlbert Einstein College of Medicine · USBaotou Central Hospital · CNBerlin Institute of Health at Charité - Universitätsmedizin Berlin · DECentro Hospitalar de Vila Nova de Gaia · PTChang Gung University · TWClinique du Sport · FRFriedrich-Alexander-Universität Erlangen-Nürnberg · DEFriedrich Schiller University Jena · DEKantonsspital St. Gallen · CHMontreal Heart Institute · CAOspedale Santa Chiara · ITØstfold Hospital Trust · NOShahid Beheshti University of Medical Sciences · IRUCLA Medical Center · USUniversity Medical Center Utrecht · NLUniversity of Edinburgh · GB

Funding

British Heart Foundation CH/09/002/26360
6 · The paper itself

Abstract

objectivesCoronary computed tomography angiography (CCTA) has higher diagnostic accuracy than coronary artery calcium (CAC) score for detecting obstructive coronary artery disease (CAD) in patients with stable chest pain, while the added diagnostic value of combining CCTA with CAC is unknown. We investigated whether combining coronary CCTA with CAC score can improve the diagnosis of obstructive CAD compared with CCTA alone.

methodsA total of 2315 patients (858 women, 37%) aged 61.1 ± 10.2 from 29 original studies were included to build two CAD prediction models based on either CCTA alone or CCTA combined with the CAC score. CAD was defined as at least 50% coronary diameter stenosis on invasive coronary angiography. Models were built by using generalized linear mixed-effects models with a random intercept set for the original study. The two CAD prediction models were compared by the likelihood ratio test, while their diagnostic performance was compared using the area under the receiver-operating-characteristic curve (AUC). Net benefit (benefit of true positive versus harm of false positive) was assessed by decision curve analysis.

resultsCAD prevalence was 43.5% (1007/2315). Combining CCTA with CAC improved CAD diagnosis compared with CCTA alone (AUC: 87% [95% CI: 86 to 89%] vs. 80% [95% CI: 78 to 82%]; p < 0.001), likelihood ratio test 236.3, df: 1, p < 0.001, showing a higher net benefit across almost all threshold probabilities.

conclusionAdding the CAC score to CCTA findings in patients with stable chest pain improves the diagnostic performance in detecting CAD and the net benefit compared with CCTA alone. CLINICAL RELEVANCE STATEMENT: CAC scoring CT performed before coronary CTA and included in the diagnostic model can improve obstructive CAD diagnosis, especially when CCTA is non-diagnostic. KEY POINTS: • The combination of coronary artery calcium with coronary computed tomography angiography showed significantly higher AUC (87%, 95% confidence interval [CI]: 86 to 89%) for diagnosis of coronary artery disease compared to coronary computed tomography angiography alone (80%, 95% CI: 78 to 82%, p < 0.001). • Diagnostic improvement was mostly seen in patients with non-diagnostic C. • The improvement in diagnostic performance and the net benefit was consistent across age groups, chest pain types, and genders.

Indexed as

Coronary Artery DiseaseCoronary StenosisAgedCalciumChest PainComputed Tomography AngiographyCoronary AngiographyFemaleHumansMaleMiddle AgedPredictive Value of TestsTomography, X-Ray ComputedCalciumComputed tomography angiographyCoronary angiographyCoronary artery disease

Identifiers

PMID37831139
PMCPMC10957619
OpenAlexW4387600012

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.