ArticleEuropean heart journal. Digital health2021
Advanced heart sound analysis as a new prognostic marker in stable coronary artery disease.
Article in European heart journal. Digital health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT02264717 (Dan-NICAD - Danish Study of Non-Invasive Diagnostic Testing in Coronary Artery Disease), which is not on this map. Cited by 11 papers.
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.
Dan-NICAD - Danish Study of Non-Invasive Diagnostic Testing in Coronary Artery Disease
Who cites it
11 citing papers in PubMed.
- Acoustic Cardiography Captures Stress-Dependent Ventricular Dysfunction and Distinguishes Heart Failure Phenotypes in a Porcine Model.Biomedicines · 2026Article
- Extraction of Acoustic Features via Empirical Wavelet Transform to Determine Stenosis Degree of the Left Anterior Descending Artery Based on the Diastolic Heart Sounds of 75 Participants.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026Article
- Coronary artery disease diagnosis with signal processing and machine learning of heart sound signals: a systematic review.NPJ digital medicine · 2026Article
- Cost-Effectiveness of the CADScor System in Low-Risk Patients Presenting to the Emergency Department with Chest Pain.PharmacoEconomics - open · 2025Article
- Pre-test probability estimation of coronary artery disease can be improved by adding an acoustic-based risk score.International journal of cardiology. Heart & vasculature · 2025Article
- Emerging Wearable Acoustic Sensing Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Federated Abnormal Heart Sound Detection with Weak to No Labels.Cyborg and bionic systems (Washington, D.C.) · 2024Article
- Deep Learning in Heart Sound Analysis: From Techniques to Clinical Applications.Health data science · 2024Review
- Improved pre-test likelihood estimation of coronary artery disease using phonocardiography.European heart journal. Digital health · 2022Article
- Review
- The Feasibility of Ultra-Sensitive Phonocardiography in Acute Chest Pain Patients of a Tertiary Care Emergency Department (ScorED Feasibility Study).Journal of personalized medicine · 2022Article
Corrections and comments
- Erratum issuedErratum.2022
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aims: Recent technological advances enable diagnosing of obstructive coronary artery disease (CAD) from heart sound analysis with a high negative predictive value. However, the prognostic impact of this approach remains unknown. To investigate the prognostic value of heart sound analysis as two scores, the Acoustic-score and the CAD-score, in patients with suspected CAD which is treated according to standard of care. Methods and results: Consecutive patients with angina symptoms referred for coronary computed tomography angiography (CTA) were enrolled. The Acoustic-score was developed from eight acoustic CAD-related features. This score was combined with risk factors to generate the CAD-score. A cut-off score >20 was pre-specified for both scores to indicate disease. If coronary CTA raised suspicion of obstructive CAD, patients were referred to invasive angiography and revascularized when indicated. Of 1675 enrolled patients, 1464 (87.4%) were included in this substudy. The combined primary endpoint was all-cause mortality and myocardial infarction ( Conclusion: Heart sound analysis seems to carry prognostic information and may improve initial risk stratification of patients with suspected CAD. Clinicaltrialsorg ID: NCT02264717.
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