Trial reportEuropean heart journal. Cardiovascular Imaging2019
Pretest probability for patients with suspected obstructive coronary artery disease: re-evaluating Diamond-Forrester for the contemporary era and clinical implications: insights from the PROMISE trial.
Trial report in European heart journal. Cardiovascular Imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
54 citing papers in PubMed, 1 synthesis or guideline pooled it.
- SCCT 2021 Expert Consensus Document on Coronary Computed Tomographic Angiography: A Report of the Society of Cardiovascular Computed Tomography.Journal of cardiovascular computed tomographyGuideline
- Presenting Symptoms in Patients Undergoing Coronary Artery Disease Evaluation: Association With Noninvasive Test Results and Clinical Outcomes in the PROMISE Trial.Circulation. Cardiovascular quality and outcomes · 2022Trial
- Clinical pre-test probability for obstructive coronary artery disease: insights from the European DISCHARGE pilot study.European radiology · 2021Trial
- Validation of European Society of Cardiology pre-test probabilities for obstructive coronary artery disease in suspected stable angina.European heart journal. Quality of care & clinical outcomes · 2020Trial
- Are risk factors necessary for pretest probability assessment of coronary artery disease? A patient similarity network analysis of the PROMISE trial.Journal of cardiovascular computed tomographyTrial
- A comparative study of quantum-inspired PSO and EA with their binary variants for heart disease classification.Scientific reports · 2026Article
- Great debate: the new risk factor-weighted clinical likelihood model is useful to estimate the initial pre-test probability of obstructive coronary artery disease in individuals with suspected chronic coronary syndromes.European heart journal · 2026Article
- Article
- Guideline for Chronic Coronary Syndrome - 2025.Arquivos brasileiros de cardiologia · 2025Article
- Development and validation of a deep-learning algorithm for rule-in and rule-out coronary artery disease based on electrocardiogram without evidence of myocardial ischemia.International journal of cardiology. Heart & vasculature · 2025Article
- Developing an ML-Based Pretest Probability Model of Obstructive CAD in Patients With Stable Chest Pain.JACC. Asia · 2025Article
- Clinical likelihood models calibrated against observed obstructive coronary artery disease on computed tomography angiography.European heart journal. Cardiovascular Imaging · 2025Article
- Article
- Efficacy of Diagnostic Testing of Suspected Coronary Artery Disease: A Contemporary Review.Cardiology · 2025Review
- [Current guidelines for chronic coronary syndrome : Role of computed tomography-coronary angiography and pretest probability for coronary artery disease].Radiologie (Heidelberg, Germany) · 2024Review
- The Role of Coronary Physiology Assessment in the Diagnosis and Treatment of Stable Angina. Dive Inside Recent Findings of Diffuse Coronary Disease Treatment.Reviews in cardiovascular medicine · 2024Review
- External validation of novel clinical likelihood models to predict obstructive coronary artery disease and prognosis.Open heart · 2023Article
- Article
- Management of Residual Risk in Chronic Coronary Syndromes. Clinical Pathways for a Quality-Based Secondary Prevention.Journal of clinical medicine · 2023Review
- Factors influencing adherence to clinical practice guidelines in patients with suspected chronic coronary syndrome: a qualitative interview study in the ambulatory care sector in Germany.BMC health services research · 2023Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
aimsTo update pretest probabilities (PTP) for obstructive coronary artery disease (CAD ≥ 50%) across age, sex, and clinical symptom strata, using coronary computed tomography angiography (CTA) in a large contemporary population of patients with stable chest pain referred to non-invasive testing. METHODS AND
resultsWe included patients enrolled in the Prospective Multicenter Imaging Study for Evaluation of Chest Pain (PROMISE) trial and randomized to CTA. Exclusively level III-certified readers, blinded to demographic and clinical data, assessed the prevalence of CAD ≥ 50% in a central core lab. After comparing the recent European Society of Cardiology-Diamond and Forrester PTP (ESC-DF) with the actual observed prevalence of CAD ≥ 50%, we created a new PTP set by replacing the ESC-DF PTP with the observed prevalence of CAD ≥ 50% across strata of age, sex, and type of angina. In 4415 patients (48.3% men; 60.5 ± 8.2 years; 78% atypical angina; 11% typical angina; 11% non-anginal chest pain), the observed prevalence of CAD ≥ 50% was 13.9%, only one-third of the average ESC-DF PTP (40.6; P < 0.001 for difference). The PTP in the new set ranged 2-48% and were consistently lower than the ESC-DF PTP across all age, sex, and angina type categories. Initially, 4284/4415 (97%) patients were classified as intermediate-probability by the ESC-DF (PTP 15-85%); using the PROMISE-PTP, 50.2% of these patients were reclassified to the low PTP category (PTP < 15%).
conclusionThe ESC-DF PTP overestimate vastly the actual prevalence of CAD ≥ 50%. A new set of PTP, derived from results of non-invasive testing, may substantially reduce the need for non-invasive tests in stable chest pain.
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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.