Evidence map›Paper›PMID 32902743›Full record

Trial reportEuropean radiology2021

Clinical pre-test probability for obstructive coronary artery disease: insights from the European DISCHARGE pilot study.

Sarah Feger, Paolo Ibes, Adriane E Napp, Alexander Lembcke, Michael Laule, Henryk Dreger, Björn Bokelmann, Gershan K Davis, Giles Roditi, Ignacio Diez and 24 more

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02400229 (Diagnostic Imaging Strategies for Patients With Stable Chest Pain and Intermediate Risk of Coronary Artery Disease), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

NCT02400229 nacompletednot on this map

Diagnostic Imaging Strategies for Patients With Stable Chest Pain and Intermediate Risk of Coronary Artery Disease: Comparative Effectiveness Research of Existing Technologies) - A Pragmatic Randomised Controlled Trial of CT Versus ICA

TypeinterventionalSponsorCharite University, Berlin, GermanyRan2015 to 2022Enrolled3,546ConditionsCoronary Artery DiseaseArmsComputed tomography angiography (cardiac CT), Invasive coronary angiography (ICA)
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Review
  6. Article
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  9. 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

34 authors.

Sarah Feger *Charité - Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Berlin, Germany.
Paolo Ibes *Charité - Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Berlin, Germany.
Adriane E NappCharité - Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Berlin, Germany.
Alexander LembckeCharité - Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Berlin, Germany.
Michael LauleCharité - Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Berlin, Germany.
Henryk DregerCharité - Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Berlin, Germany.
Björn BokelmannCharité - Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Berlin, Germany.
Gershan K DavisDepartment of Cardiology, Aintree University Hospital, Liverpool, UK.
Giles RoditiInstitute of Cardiovascular and Medical Sciences, Glasgow University, Glasgow, UK.
Ignacio DiezDepartment of Cardiology, Basurto University Hospital Bilbao, Bilbao, Spain.
Stephen SchröderDepartment of Cardiology, ALB FILS KLINIKEN, Goeppingen, Germany.
Fabian PlankDepartment of Radiology and Department of Cardiology, Medical University Innsbruck, Innsbruck, Austria.
Pal Maurovich-HorvatDepartment of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary.
Radosav VidakovicDepartment of Cardiology, Clinical Hospital Center "Zemun", Faculty of Medicine, University of Belgrade, Zemun, Belgrade, Serbia.
Josef VeselkaDepartment of Cardiology, Motol University Hospital and 2nd School of Medicine, Charles University, Prague, Czech Republic.
Malgorzata Ilnicka-SuckielDepartment of Cardiology, Wojewodzki Szpital Specjalistyczny We Wroclawiu, Wrocław, Poland.
Andrejs ErglisLatvian Centre of Cardiology, Pauls Stradins Clinical University Hospital, Riga, Latvia.
Teodora BenedekDepartment of Cardiology, Cardio Med Medical Center Targu-Mures, Târgu Mureș, Romania.
José Rodriguez-PalomaresHospital Universitari Vall d´Hebron, Department of Cardiology. Vall d'Hebron Institut de Recerca (VHIR). Universitat Autònoma de Barcelona, Barcelona, Spain.
Luca SabaDepartment of Radiology, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy.
Klaus F KofoedDepartment of Cardiology and Radiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Matthias GutberletDepartment of Diagnostic and Interventional Radiology, UNIVERSITY LEIPZIG -Heart Center Leipzig, Leipzig, Germany.
Filip AđićDepartment of Cardiology, Institute for Cardiovascular Diseases of Vojvodina, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia.
Mikko PietiläTurku PET Centre and Heart Centre, Turku University Hospital, Turku, Finland.
Rita FariaDepartment of Cardiology, Centro Hospitalar de Vila Nova de Gaia, Vila Nova de Gaia, Portugal.
Audrone VaitiekieneDepartment of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Jonathan D DoddDepartment of Radiology, St. Vincent's University hospital, School of Medicine, University College Dublin, Dublin, Ireland.
Patrick DonnellyDepartment of Cardiology, Southeastern Health and Social Care Trust, Belfast, Ireland.
Marco FranconeDepartment of Radiological, Pathological and Oncological Sciences, Sapienza University of Rome, Rome, Italy.
Cezary KepkaDept. of Coronary and Structural Heart Diseases, Institute of Cardiology, Warsaw, Poland.
Balazs RuzsicsRoyal Liverpool and Broadgreen University Hospital, Liverpool, UK.
Jacqueline Müller-NordhornBerlin School of Public Health Berlin, Berlin, Germany.
Peter SchlattmannInstitut für Statistik, Medizinische Informatik, Datenwissenschaften Universitätsklinikum Jena, Leipzig, Germany.
Marc DeweyCharité - Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Berlin, Germany. dewey@charite.de.ORCID http://orcid.org/0000-0002-4402-2733

Funding

FP7 Ideas: European Research Council EC-GA 603266
6 · The paper itself

Abstract

objectivesTo test the accuracy of clinical pre-test probability (PTP) for prediction of obstructive coronary artery disease (CAD) in a pan-European setting.

methodsPatients with suspected CAD and stable chest pain who were clinically referred for invasive coronary angiography (ICA) or computed tomography (CT) were included by clinical sites participating in the pilot study of the European multi-centre DISCHARGE trial. PTP of CAD was determined using the Diamond-Forrester (D+F) prediction model initially introduced in 1979 and the updated D+F model from 2011. Obstructive coronary artery disease (CAD) was defined by one at least 50% diameter coronary stenosis by both CT and ICA.

resultsIn total, 1440 patients (654 female, 786 male) were included at 25 clinical sites from May 2014 until July 2017. Of these patients, 725 underwent CT, while 715 underwent ICA. Both prediction models overestimated the prevalence of obstructive CAD (31.7%, 456 of 1440 patients, PTP: initial D+F 58.9% (28.1-90.6%), updated D+F 47.3% (34.2-59.9%), both p < 0.001), but overestimation of disease prevalence was higher for the initial D+F (p < 0.001). The discriminative ability was higher for the updated D+F 2011 (AUC of 0.73 95% confidence interval [CI] 0.70-0.76 versus AUC of 0.70 CI 0.67-0.73 for the initial D+F; p < 0.001; odds ratio (or) 1.55 CI 1.29-1.86, net reclassification index 0.11 CI 0.05-0.16, p < 0.001).

conclusionsClinical PTP calculation using the initial and updated D+F prediction models relevantly overestimates the actual prevalence of obstructive CAD in patients with stable chest pain clinically referred for ICA and CT suggesting that further refinements to improve clinical decision-making are needed.

trial registrationhttps://www.clinicaltrials.gov/ct2/show/NCT02400229 KEY POINTS: • Clinical pre-test probability calculation using the initial and updated D+F model overestimates the prevalence of obstructive CAD identified by ICA and CT. • Overestimation of disease prevalence is higher for the initial D+F compared with the updated D+F. • Diagnostic accuracy of PTP assessment varies strongly between different clinical sites throughout Europe.

Indexed as

Coronary Artery DiseaseCoronary StenosisComputed Tomography AngiographyCoronary AngiographyEuropeFemaleHumansMalePatient DischargePilot ProjectsPredictive Value of TestsRisk AssessmentRisk FactorsComputed tomography angiographyCoronary artery diseasePrevalenceProbability of disease

Identifiers

PMID32902743
PMCPMC7880945

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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.