Evidence map›Paper›PMID 31977010›Full record

Trial reportEuropean heart journal. Quality of care & clinical outcomes2020

Validation of European Society of Cardiology pre-test probabilities for obstructive coronary artery disease in suspected stable angina.

Rong Bing, Trisha Singh, Marc R Dweck, Nicholas L Mills, Michelle C Williams, Philip D Adamson, David E Newby

Open access · hybridAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in European heart journal. Quality of care & clinical outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

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  10. Computed tomographic angiography in coronary artery disease.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2023
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  15. One step closer to quantifying 'clinical likelihood' in pre-test probability.European heart journal. Quality of care & clinical outcomes · 2022
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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

7 authors at 2 institutions in 2 countries.

Rong BingBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.
Trisha SinghBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.
Marc R DweckBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.
Nicholas L MillsBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.
Michelle C WilliamsBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.
Philip D AdamsonBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.
David E NewbyBHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.
University of Edinburgh · GBUniversity of Otago · NZ

Funding

British Heart Foundation CH/09/002British Heart Foundation FS/11/014British Heart Foundation FS/14/78/31020British Heart Foundation FS/16/14/32023British Heart Foundation PG/19/40/34422British Heart Foundation RE/13/3/30183British Heart Foundation RE/18/5/34216British Heart Foundation RG/16/10/32375Chief Scientist Office PCL/17/04Medical Research Council MR/T029153/1Wellcome TrustWellcome Trust WT103782AIA
6 · The paper itself

Abstract

aimsTo assess contemporary pre-test probability estimates for obstructive coronary artery disease in patients with stable chest pain. METHODS AND

resultsIn this substudy of a multicentre randomized controlled trial, we compared 2019 European Society of Cardiology (ESC)-endorsed pre-test probabilities with observed prevalence of obstructive coronary artery disease on computed tomography coronary angiography (CTCA). We assessed associations between pre-test probability, 5-year coronary heart disease death or non-fatal myocardial infarction and study intervention (standard care vs. CTCA). The study population consisted of 3755 patients (30-75 years, 46% women) with a median pre-test probability of 11% of whom 1622 (43%) had a pre-test probability of >15%. In those who underwent CTCA (n = 1613), the prevalence of obstructive disease was 22%. When divided into deciles of pre-test probability, the observed disease prevalence was similar but higher than the corresponding median pre-test probability [median difference 2.3 (1.3-5.6)%]. There were more clinical events in patients with a pre-test probability >15% compared to those at 5-15% and <5% (4.1%, 1.5%, and 1.4%, respectively, P < 0.001). Across the total cohort, fewer clinical events occurred in patients who underwent CTCA, with the greatest difference in those with a pre-test probability >15% (2.8% vs. 5.3%, log rank P = 0.01), although this interaction was not statistically significant on multivariable modelling.

conclusionThe updated 2019 ESC guideline pre-test probability recommendations tended to slightly underestimate disease prevalence in our cohort. Pre-test probability is a powerful predictor of future coronary events and helps select those who may derive the greatest absolute benefit from CTCA.

Indexed as

CardiologySocieties, MedicalAdolescentAdultAgedAngina, StableComputed Tomography AngiographyCoronary AngiographyCoronary OcclusionElectrocardiographyEuropeFemaleHumansIncidenceMaleMiddle AgedComputed tomography coronary angiographyCoronary artery diseasePre-test probability

Identifiers

PMID31977010
PMCPMC7590886
OpenAlexW3002710937

What OpenQuestion holds

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LicenceCC BY
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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.