Evidence map›Paper›PMID 38800545›Full record

ArticleJournal of geriatric cardiology : JGC2024

Accurate diagnosis of severe coronary stenosis based on resting magnetocardiography: a prospective, single-center, cross-sectional analysis.

Jian-Guo Cui, Feng Tian, Yu-Hao Miao, Qin-Hua Jin, Ya-Jun Shi, Li Li, Meng-Jun Shen, Xiao-Ming Xie, Shu-Lin Zhang, Yun-Dai Chen

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Article in Journal of geriatric cardiology : JGC, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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.

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jian-Guo CuiSchool of Medicine, Nankai University, Tianjin, China.
Feng TianSenior Department of Cardiology, the Sixth Medical Center, Chinese PLA General Hospital, Beijing, China.
Yu-Hao MiaoSenior Department of Cardiology, the Sixth Medical Center, Chinese PLA General Hospital, Beijing, China.
Qin-Hua JinSenior Department of Cardiology, the Sixth Medical Center, Chinese PLA General Hospital, Beijing, China.
Ya-Jun ShiSenior Department of Cardiology, the Sixth Medical Center, Chinese PLA General Hospital, Beijing, China.
Li LiJoint Laboratory of Bioimaging Technology and Applications, SAS-SIMIT & MEDI, Shanghai, China.
Meng-Jun ShenJoint Laboratory of Bioimaging Technology and Applications, SAS-SIMIT & MEDI, Shanghai, China.
Xiao-Ming XieShanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China.
Shu-Lin ZhangShanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China.
Yun-Dai ChenSchool of Medicine, Nankai University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the role of resting magnetocardiography in identifying severe coronary artery stenosis in patients with suspected coronary artery disease.

methodsA total of 513 patients with angina symptoms were included and divided into two groups based on the extent of coronary artery disease determined by angiography: the non-severe coronary stenosis group (< 70% stenosis) and the severe coronary stenosis group (≥ 70% stenosis). The diagnostic model was constructed using magnetic field map (MFM) parameters, either individually or in combination with clinical indicators. The performance of the models was evaluated using receiver operating characteristic curves, accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). Calibration plots and decision curve analysis were performed to investigate the clinical utility and performance of the models, respectively.

resultsIn the severe coronary stenosis group, QR_MCTDd, S_MDp, and TT_MAC

conclusionsThe novel quantitative MFM parameters, whether used individually or in combination with clinical indicators, have been shown to effectively predict the risk of severe coronary stenosis in patients presenting with angina-like symptoms. Magnetocardiography, an emerging non-invasive diagnostic tool, warrants further exploration for its potential in diagnosing coronary heart disease.

Identifiers

PMID38800545
PMCPMC11112152

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