Evidence map›Paper›PMID 35267094›Full record

SynthesisEuropean radiology2022

Computed tomography angiography versus Agatston score for diagnosis of coronary artery disease in patients with stable chest pain: individual patient data meta-analysis of the international COME-CCT Consortium.

Viktoria Wieske, Mario Walther, Benjamin Dubourg, Hatem Alkadhi, Bjarne L Nørgaard, Matthijs F L Meijs, Axel C P Diederichsen, Yung-Liang Wan, Hans Mickley, Konstantin Nikolaou and 21 more

Erratum issuedOpen access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors at 20 institutions in 14 countries.

Viktoria WieskeDepartment of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Mario WaltherDepartment of Fundamental Sciences, Jena University of Applied Sciences, Jena, Germany.
Benjamin DubourgCardiac Imaging Unit, Department of Radiology, Rouen University Hospital, Rouen, France.
Hatem AlkadhiInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
Bjarne L NørgaardDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Matthijs F L MeijsDepartment of Cardiology, University Medical Centre Utrecht, Utrecht, Netherlands.
Axel C P DiederichsenDepartment of Cardiology, Odense University Hospital, Odense, Denmark.
Yung-Liang WanMedical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Chang Gung Memorial Hospital at Linkou, Taoyaun City, Taiwan.
Hans MickleyDepartment of Cardiology, Odense University Hospital, Odense, Denmark.
Konstantin NikolaouDepartment of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tübingen, Germany.
Abbas A ShabestariModarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Bjørn A HalvorsenDepartment of Cardiology, Ostfold Hospital Trust, Grålum, Norway.
Eugenio MartuscelliDepartment of Internal Medicine, University of Rome Tor Vergata, Rome, Italy.
Kai SunDepartment of Radiology, Baotou Central Hospital, Baotou, Inner Mongolia Province, China.
Bernhard A HerzogHeartClinic Lucerne, Lucerne, Switzerland.
Roy P MarcusCantonal Hospital of Lucerne, Lucerne, Switzerland.
Sebastian LeschkaDepartment of Radiology, Kantonsspital St Gallen, St Gallen, Switzerland.
Mario J GarciaDepartment of Cardiology, Montefiore, University Hospital for the Albert Einstein College of Medicine, New York, NY, USA.
Kristian A OvrehusDepartment of Cardiology, Odense University Hospital, Odense, Denmark.
Juhani KnuutiTurku University Hospital and University of Turku, Turku, Finland.
Vladymir Mendoza-RodriguezDepartment of Cardiology, National Institute of Cardiology and Cardiovascular Surgery, Havana, Cuba.
Nuno BettencourtDepartment of Cardiology, Centro Hospitalar de Vila Nova de Gaia, Vila Nova de Gaia, Portugal.
Simone MuragliaDepartment of Cardiology, S Chiara Hospital, Trento, Italy.
Ronny R BuechelDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Philipp A KaufmannDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Elke ZimmermannDepartment of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Jean-Claude TardifMontreal Heart Institute, Université de Montréal, Montréal, Canada.
Matthew J BudoffLos Angeles Biomedical Research Institute, Torrance, CA, USA.
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, Charitéplatz 1, 10117, Berlin, Germany. dewey@charite.de.ORCID http://orcid.org/0000-0002-4402-2733
COME-CCT Consortium
Charité - Universitätsmedizin Berlin · DEOdense University Hospital · DKUniversity Hospital of Zurich · CHUniversity of Lucerne · CHAarhus University Hospital · DKAlbert Einstein College of Medicine · USBaotou Central Hospital · CNCentro Hospitalar de Vila Nova de Gaia · PTChang Gung University · TWErnst Abbe University of Applied Sciences Jena · DEFriedrich Schiller University Jena · DEKantonsspital St. Gallen · CHMontreal Heart Institute · CAOspedale Santa Chiara · ITØstfold Hospital Trust · NOShahid Beheshti University of Medical Sciences · IRThe Lundquist Institute · USUniversité de Rouen Normandie · FRUniversity Medical Center Utrecht · NLUniversity of Rome Tor Vergata · IT

Funding

Joint programme of the German Research Foundation (DFG) and the German Federal Ministry of Education and Research BMBF, 01KG1110
6 · The paper itself

Abstract

objectivesThere is conflicting evidence about the comparative diagnostic accuracy of the Agatston score versus computed tomography angiography (CTA) in patients with suspected obstructive coronary artery disease (CAD). PURPOSE: To determine whether CTA is superior to the Agatston score in the diagnosis of CAD.

methodsIn total 2452 patients with stable chest pain and a clinical indication for invasive coronary angiography (ICA) for suspected CAD were included by the Collaborative Meta-analysis of Cardiac CT (COME-CCT) Consortium. An Agatston score of > 400 was considered positive, and obstructive CAD defined as at least 50% coronary diameter stenosis on ICA was used as the reference standard.

resultsObstructive CAD was diagnosed in 44.9% of patients (1100/2452). The median Agatston score was 74. Diagnostic accuracy of CTA for the detection of obstructive CAD (81.1%, 95% confidence interval [CI]: 77.5 to 84.1%) was significantly higher than that of the Agatston score (68.8%, 95% CI: 64.2 to 73.1%, p < 0.001). Among patients with an Agatston score of zero, 17% (101/600) had obstructive CAD. Diagnostic accuracy of CTA was not significantly different in patients with low to intermediate (1 to < 100, 100-400) versus moderate to high Agatston scores (401-1000, > 1000).

conclusionsResults in our international cohort show CTA to have significantly higher diagnostic accuracy than the Agatston score in patients with stable chest pain, suspected CAD, and a clinical indication for ICA. Diagnostic performance of CTA is not affected by a higher Agatston score while an Agatston score of zero does not reliably exclude obstructive CAD. KEY POINTS: • CTA showed significantly higher diagnostic accuracy (81.1%, 95% confidence interval [CI]: 77.5 to 84.1%) for diagnosis of coronary artery disease when compared to the Agatston score (68.8%, 95% CI: 64.2 to 73.1%, p < 0.001). • Diagnostic performance of CTA was not affected by increased amount of calcium and was not significantly different in patients with low to intermediate (1 to <100, 100-400) versus moderate to high Agatston scores (401-1000, > 1000). • Seventeen percent of patients with an Agatston score of zero showed obstructive coronary artery disease by invasive angiography showing absence of coronary artery calcium cannot reliably exclude coronary artery disease.

Indexed as

Coronary Artery DiseaseCoronary StenosisCalciumChest PainComputed Tomography AngiographyCoronary AngiographyHumansPredictive Value of TestsTomography, X-Ray ComputedCalciumComputed tomography angiographyCoronary angiographyCoronary artery disease

Identifiers

PMID35267094
PMCPMC9279219
OpenAlexW4220786696

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.