Evidence map›Paper›PMID 29122932›Full record

ArticleHeart (British Cardiac Society)2018

Diagnostic performance of an acoustic-based system for coronary artery disease risk stratification.

Simon Winther, Louise Nissen, Samuel Emil Schmidt, Jelmer Sybren Westra, Laust Dupont Rasmussen, Lars Lyhne Knudsen, Lene Helleskov Madsen, Jane Kirk Johansen, Bjarke Skogstad Larsen, Johannes Jan Struijk and 5 more

2 registry-linked trialsOpen access · hybridAbstract readEvaluation Study
In one paragraph

Article in Heart (British Cardiac Society), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% 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.

NCT02264717 nacompletednot on this map

Dan-NICAD - Danish Study of Non-Invasive Diagnostic Testing in Coronary Artery Disease

TypeinterventionalSponsorUniversity of AarhusRan2014 to 2016Enrolled1,676ConditionsAngina Pectoris, Arteriosclerosis, Coronary Artery Disease, Myocardial IschemiaArmsSPECT, Cardiac MRI
NCT05782582 narecruitingnot on this mapstarted 2023, after this paper: background citation

Chronic Coronary Syndrome in Swedish Primary Care

TypeinterventionalSponsorRegion ÖstergötlandRan2023 to 2032Enrolled500ConditionsCoronary Artery DiseaseArmsPackage investigation, Sound registration with Cadscore® and added risk calculation, Standard investigation
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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  4. 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 · 2026
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  13. Subtle QRS changes are associated with reduced ejection fraction, diastolic dysfunction, and heart failure development and therapy responsiveness: Applications for artificial intelligence to ECG.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 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

15 authors at 4 institutions in 1 country.

Simon WintherDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0001-8872-3681
Louise NissenDepartment of Cardiology, Hospital Unit West, Herning, Denmark.
Samuel Emil SchmidtDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Jelmer Sybren WestraDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Laust Dupont RasmussenDepartment of Cardiology, Hospital Unit West, Herning, Denmark.
Lars Lyhne KnudsenDepartment of Cardiology, Hospital Unit West, Herning, Denmark.
Lene Helleskov MadsenDepartment of Cardiology, Hospital Unit West, Herning, Denmark.
Jane Kirk JohansenDepartment of Cardiology, Regional Hospital of Silkeborg, Silkeborg, Denmark.
Bjarke Skogstad LarsenDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Johannes Jan StruijkDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Lars FrostDepartment of Cardiology, Regional Hospital of Silkeborg, Silkeborg, Denmark.
Niels Ramsing HolmDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Evald Høj ChristiansenDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Hans Erik BotkerDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Morten BøttcherDepartment of Cardiology, Hospital Unit West, Herning, Denmark.
Aarhus University Hospital · DKRegional Hospital West Jutland · DKAalborg University · DKRegionshospitalet Silkeborg · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDiagnosing coronary artery disease (CAD) continues to require substantial healthcare resources. Acoustic analysis of transcutaneous heart sounds of cardiac movement and intracoronary turbulence due to obstructive coronary disease could potentially change this. The aim of this study was thus to test the diagnostic accuracy of a new portable acoustic device for detection of CAD.

methodsWe included 1675 patients consecutively with low to intermediate likelihood of CAD who had been referred for cardiac CT angiography. If significant obstruction was suspected in any coronary segment, patients were referred to invasive angiography and fractional flow reserve (FFR) assessment. Heart sound analysis was performed in all patients. A predefined acoustic CAD-score algorithm was evaluated; subsequently, we developed and validated an updated CAD-score algorithm that included both acoustic features and clinical risk factors. Low risk is indicated by a CAD-score value ≤20.

resultsHaemodynamically significant CAD assessed from FFR was present in 145 (10.0%) patients. In the entire cohort, the predefined CAD-score had a sensitivity of 63% and a specificity of 44%. In total, 50% had an updated CAD-score value ≤20. At this cut-off, sensitivity was 81% (95% CI 73% to 87%), specificity 53% (95% CI 50% to 56%), positive predictive value 16% (95% CI 13% to 18%) and negative predictive value 96% (95% CI 95% to 98%) for diagnosing haemodynamically significant CAD.

conclusionSound-based detection of CAD enables risk stratification superior to clinical risk scores. With a negative predictive value of 96%, this new acoustic rule-out system could potentially supplement clinical assessment to guide decisions on the need for further diagnostic investigation. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov identifier NCT02264717; Results.

Indexed as

AcousticsComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary StenosisFemaleHeart SoundsHumansMaleMiddle AgedPoint-of-Care SystemsProspective StudiesSensitivity and Specificitycardiac imaging and diagnosticscoronary artery disease

Identifiers

PMID29122932
PMCPMC5969347
OpenAlexW2767698820

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.