Evidence map›Paper›PMID 31273633›Full record

ArticleThe international journal of cardiovascular imaging2019

Coronary artery disease risk reclassification by a new acoustic-based score.

S E Schmidt, S Winther, B S Larsen, M H Groenhoej, L Nissen, J Westra, L Frost, N R Holm, H Mickley, F H Steffensen and 5 more

Open access · hybridAbstract read
In one paragraph

Article in The international journal of cardiovascular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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  16. Sortilin as a Biomarker for Cardiovascular Disease Revisited.Frontiers in cardiovascular medicine · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 8 institutions in 1 country.

S E SchmidtDepartment of Health Science and Technology, Biomedical Engineering & Informatics, Aalborg University, Fredrik Bajers Vej 7 C1-204, 9220, Aalborg Ø, Denmark. sschmidt@hst.aau.dk.ORCID http://orcid.org/0000-0002-0917-634X
S WintherDepartment of Cardiology, Region Hospital Herning, Herning, Denmark.
B S LarsenDepartment of Health Science and Technology, Biomedical Engineering & Informatics, Aalborg University, Fredrik Bajers Vej 7 C1-204, 9220, Aalborg Ø, Denmark.
M H GroenhoejDepartment of Cardiology, Odense University Hospital, Odense, Denmark.
L NissenDepartment of Cardiology, Region Hospital Herning, Herning, Denmark.
J WestraDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
L FrostDepartment of Cardiology, Regional Hospital Central Jutland, Silkeborg, Denmark.
N R HolmDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
H MickleyDepartment of Cardiology, Odense University Hospital, Odense, Denmark.
F H SteffensenDepartment of Cardiology, Lillebaelt Hospital, Vejle, Denmark.
J LambrechtsenDepartment of Cardiology, Svendborg Hospital, Svendborg, Denmark.
M S NørskovAcarix, Lyngby, Denmark.
J J StruijkDepartment of Health Science and Technology, Biomedical Engineering & Informatics, Aalborg University, Fredrik Bajers Vej 7 C1-204, 9220, Aalborg Ø, Denmark.
A C P DiederichsenDepartment of Cardiology, Odense University Hospital, Odense, Denmark.
M BoettcherDepartment of Cardiology, Region Hospital Herning, Herning, Denmark.
Odense University Hospital · DKRegionshospitalet Herning · DKAalborg University · DKAarhus University Hospital · DKAcarix (Denmark) · DKLillebaelt Hospital · DKRegional Hospital Central Jutland · DKSvendborg Sygehus · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To determine the potential of a non-invasive acoustic device (CADScor®System) to reclassify patients with intermediate pre-test probability (PTP) and clinically suspected stable coronary artery disease (CAD) into a low probability group thereby ruling out significant CAD. Audio recordings and clinical data from three studies were collected in a single database. In all studies, patients with a coronary CT angiography indicating CAD were referred to coronary angiography. Audio recordings of heart sounds were processed to construct a CAD-score. PTP was calculated using the updated Diamond-Forrester score and patients were classified according to the current ESC guidelines for stable CAD: low < 15%, intermediate 15-85% and high > 85% PTP. Intermediate PTP patients were re-classified to low probability if the CAD-score was ≤ 20. Of 2245 patients, 212 (9.4%) had significant CAD confirmed by coronary angiography ( ≥ 50% diameter stenosis). The average CAD-score was higher in patients with significant CAD (38.4 ± 13.9) compared to the remaining patients (25.1 ± 13.8; p < 0.001). The reclassification increased the proportion of low PTP patients from 13.6% to 41.8%, reducing the proportion of intermediate PTP patients from 83.4% to 55.2%. Before reclassification 7 (3.1%) low PTP patients had CAD, whereas post-reclassification this number increased to 28 (4.0%) (p = 0.52). The net reclassification index was 0.209. Utilization of a low-cost acoustic device in patients with intermediate PTP could potentially reduce the number of patients referred for further testing, without a significant increase in the false negative rate, and thus improve the cost-effectiveness for patients with suspected stable CAD.

Indexed as

Heart SoundsPhonocardiographyAdultAgedAged, 80 and overAlgorithmsCoronary AngiographyCoronary Artery DiseaseCoronary StenosisCost-Benefit AnalysisCost SavingsDecision Support TechniquesFemaleHealth Care CostsHumansMaleCost-effectivenessHeart soundsNon-invasive testingReclassificationStable coronary artery diseaseUltrasensitive phonocardiography

Identifiers

PMID31273633
PMCPMC6805823
OpenAlexW2954655773

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.