Evidence map›Paper›PMID 39707636›Full record

ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2025

Examining the Effects of Different Exertion Levels and Reference Standards on the Diagnostic Accuracy of Exercise ECG for Detecting Coronary Artery Disease - A Pilot Study.

Julius Heimann, Thomas Schramm, Martin Grauduszus, Christine Joisten

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Article in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Julius HeimannEvangelisches Krankenhaus Duesseldorf, Dusseldorf, Germany.ORCID 0009-0000-8423-4928
Thomas SchrammKliniken der Stadt Koeln, Koln, Germany.
Martin GrauduszusGerman Sport University Cologne, Koln, Germany.
Christine JoistenUniversity of Cologne, Faculty of Medicineand University Hospital Cologne, Cologne, Germany.ORCID 0000-0002-2455-8901

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExercise electrocardiogram (ECG) is frequently used for evaluating patients with suspected coronary artery disease (CAD). However, it has been downgraded in international guidelines due to a limited sensitivity and specificity, compared with other non-invasive tests.

methodsWe hypothesized, that a sufficient exertion going beyond 85% of the age predicted maximal heart rate (APMHR), by considering the achieved level of workload can improve sensitivity and specificity of the exercise ECG. Secondly, the performance of exercise ECG, when evaluated against a functional reference standard has barely been investigated, although an improved diagnostic accuracy has been reported for other non-invasive tests in this case. Therefore, in this pilot study, a total of 147 patients without known CAD who underwent exercise ECG followed by coronary angiography within 90 days were retrospectively evaluated.

resultsThe combined end point of 85% of APMHR and 75% of the predicted workload showed a slight but not statistically significant benefit over APMHR alone (66.7% vs. 58.1%; p = 0.545). The sensitivity of ST-segment depression was 51.3% for detecting anatomically defined CAD and 62.5% for functionally relevant CAD (p = 0.378).

conclusionsAlthough the results of this pilot study lack statistical significance, the numeric differences clearly justify further research on this topic.

Indexed as

Coronary Artery DiseaseElectrocardiographyExercise TestSensitivity and SpecificityAgedCoronary AngiographyFemaleHumansMaleMiddle AgedPhysical ExertionPilot ProjectsReference StandardsRetrospective Studiescoronary artery diseasediagnostic accuracyexercise ECGexertionreference standard

Identifiers

PMID39707636
PMCPMC11661984

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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.