Evidence map›Paper›PMID 38476105›Full record

ArticleClinical cardiology2024

The combination of high-frequency QRS and ST-segment alterations during exercise stress tests enhanced the diagnostic efficacy for coronary artery disease.

Long Liu, Xinyue Du, Xue Wei, Wei Dong, Hong Lu, Guishen Jiang, Guolan Deng

Abstract read
In one paragraph

Article in Clinical cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

The trial behind it

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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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Long LiuThe First Clinical College, Chongqing Medical University, Chongqing, China.
Xinyue DuCardiovascular Medicine Department, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xue WeiThe First Clinical College, Chongqing Medical University, Chongqing, China.
Wei DongSchool of Medical Imaging, Zunyi Medical University, Zunyi, Guizhou, China.
Hong LuThe First Clinical College, Chongqing Medical University, Chongqing, China.
Guishen JiangThe First Clinical College, Chongqing Medical University, Chongqing, China.
Guolan DengCardiovascular Medicine Department, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID http://orcid.org/0009-0001-9890-2103

Funding

Chongqing Science and Technology Bureau
6 · The paper itself

Abstract

backgroundHigh-frequency QRS (HF-QRS) manifests as a novel adjunct electrocardiographic marker with potential utility in coronary artery disease (CAD) detection. HYPOTHESIS: We hypothesize that HF-QRS analysis may be superior to conventional ST-segment analysis in detecting CAD, and the combination of these two analyses in the exercise stress test may enhance the diagnostic efficacy for CAD.

methodsThe study incorporated a sample of 157 patients (mean age 62

resultsIn terms of CAD detection, HF-QRS analysis displayed superior sensitivity compared to conventional ST-segment analysis (63% vs. 37%, p = .002). The serial test significantly increased specificity from 79% to 97% (p = .002) compared to ST-deviation analysis alone. It showed a markedly low sensitivity of 26%. The parallel test significantly increased sensitivity from 37% to 77% (p < .001), while retaining a moderate level of specificity of 51%. The quantity of ECG leads exhibiting a positive HF-QRS response demonstrated a correlation with the severity of CAD (p < .001).

conclusionsHF-QRS analysis exhibited superior sensitivity in detecting angiographically confirmed CAD relative to conventional ST-segment analysis. Moreover, the combination of HF-QRS and ST-segment alterations during exercise stress test enhanced the diagnostic efficacy for CAD.

Indexed as

Coronary Artery DiseaseExercise TestAngiographyCoronary AngiographyElectrocardiographyHumansSensitivity and Specificitycoronary artery diseaseelectrocardiogramexercise stress testhigh-frequency QRS

Identifiers

PMID38476105
PMCPMC10933670

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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.