Evidence map›Paper›PMID 39385205›Full record

ArticleJournal of cardiothoracic surgery2024

Myocardial strain analysis by feature tracking cardiac magnetic resonance to identify subclinical cardiac dysfunction in patients with MINOCA.

Yimin Li, Ruigang Huang, Shunyong Zheng, Dan Huang, Weihua Lin, Guangyu Lin, Qingwen Huang, Alai Zhan

Abstract read
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In one paragraph

Article in Journal of cardiothoracic surgery, 2024. 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

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

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

8 authors.

Yimin LiDepartment of Medical Imaging, Zhangzhou Affiliated Hospital of Fujian Medical University, No.59 Shengli Road, Zhangzhou, 363000, China.
Ruigang HuangDepartment of Medical Imaging, Zhangzhou Affiliated Hospital of Fujian Medical University, No.59 Shengli Road, Zhangzhou, 363000, China.
Shunyong ZhengDepartment of Medical Imaging, Zhangzhou Affiliated Hospital of Fujian Medical University, No.59 Shengli Road, Zhangzhou, 363000, China.
Dan HuangDepartment of Medical Imaging, Zhangzhou Affiliated Hospital of Fujian Medical University, No.59 Shengli Road, Zhangzhou, 363000, China.
Weihua LinDepartment of Medical Imaging, Zhangzhou Affiliated Hospital of Fujian Medical University, No.59 Shengli Road, Zhangzhou, 363000, China.
Guangyu LinDepartment of Cardiology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, 363000, China.
Qingwen HuangDepartment of Medical Imaging, Zhangzhou Affiliated Hospital of Fujian Medical University, No.59 Shengli Road, Zhangzhou, 363000, China.
Alai ZhanDepartment of Medical Imaging, Zhangzhou Affiliated Hospital of Fujian Medical University, No.59 Shengli Road, Zhangzhou, 363000, China. zalwz@sohu.com.

Funding

the Provincial Natural Science Foundation of Fujian, China 2002J01123140
6 · The paper itself

Abstract

backgroundTo investigate whether feature tracking cardiac magnetic resonance (FT-CMR) can identify subclinical myocardial dysfunction in patients with myocardial infarction with non-obstructed coronary arteries (MINOCA).

methodsClinical data and CMR images of MINOCA patients (N = 46) and control individuals (N = 12) were compared. The infarct and edema volume to total myocardium, peak global longitudinal strain (GLS), global longitudinal strain rate (GLSR), peak global circumferential strain (GCS), global circumferential strain rate, peak global radial strain, and global radial strain rate were measured. Diagnostic performances of strain parameters for MINOCA were evaluated by logistic regression and receiver operating characteristics analysis.

resultsExcept smoking history, the two groups showed no significant differences in cardiovascular risk factors and traditional heart function. GLS (-14.67 ± 1.96% vs. -19.19 ± 2.05%), GLSR (-0.94 ± 0.16 S

conclusionsMyocardial strain by FT-CMR may effectively detect early myocardial impairment with MINOCA, especially in patients with normal routine MRI.

Indexed as

Magnetic Resonance Imaging, CineAgedCoronary VesselsFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMyocardial InfarctionRetrospective StudiesROC CurveCMRFeature trackingMINOCAMyocardial strain

Identifiers

PMID39385205
PMCPMC11465584

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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.