Evidence map›Paper›PMID 39096407›Full record

ArticleThe international journal of cardiovascular imaging2024

The clinical value of noninvasive left ventricular myocardial work in the diagnosis of myocardial ischemia in coronary heart disease: a comparative study with coronary flow reserve fraction.

Yingjie Zhao, Furong He, Weifeng Guo, Zhenyi Ge, Zhengdan Ge, Yige Lu, Guanyu Qiao, Yaoyi Zhang, Hanbo Zhang, Hongyan Lin and 7 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 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

17 authors.

Yingjie Zhao *Department of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China.
Furong He *School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
Weifeng Guo *Shanghai Institute of Medical Imaging, Shanghai, China.
Zhenyi GeDepartment of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhengdan GeDepartment of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China.
Yige LuDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Guanyu QiaoDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Yaoyi ZhangSchool of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
Hanbo ZhangSchool of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
Hongyan LinSchool of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
Yao GuoDepartment of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China.
Yingying JiangDepartment of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China.
Shihai ZhaoShanghai Institute of Medical Imaging, Shanghai, China.
Jingyang LuanDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, China. glorialuan1995@163.com.
Wei HeDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, China. 16301050198@fudan.edu.cn.
Cuizhen PanDepartment of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China. pan.cuizhen@zs-hospital.sh.cn.
Xianhong ShuDepartment of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China.

Funding

Shanghai Municipal Key Clinical Specialty shslczdzk03501Shanghai Science and Technology Commission 202140291
6 · The paper itself

Abstract

The prompt and precise identification of hemodynamically significant coronary artery lesions remains an ongoing challenge. This study investigated the diagnostic value of non-invasive global left ventricular myocardial work indices by echocardiography in functional status of coronary artery disease (CAD) patients with myocardial ischemia using fractional flow reserve (FFR) as the gold standard. A total of 77 consecutive patients with clinically suspected CAD were prospectively enrolled. All participants sequentially underwent echocardiography, invasive coronary angiography (ICA) and FFR measurement. According to the results of ICA, patients were divided into myocardial ischemia group (FFR ≤ 0.8, n = 27) and non-myocardial ischemia group (FFR > 0.8, n = 50). Myocardial work indices including global work index (GWI), global constructive work (GCW), global wasted work (GWW), global work efficiency (GWE), global positive work (GPW), global negative work (GNW), global systolic constructive work (GSCW) and global systolic wasted work (GSWW) were obtained by using the non-invasive left ventricular pressure strain loop (PSL) technique. Compared with the non-myocardial ischemia group, GWI, GCW, GPW and GSCW were significantly decreased in the myocardial ischemia group at either the 18-segment level or the 12-segment level (P < 0.001). At the 18-segment level, GWI < 1783.6 mmHg%, GCW < 1945.4 mmHg%, GPW < 1788.7 mmHg% and GSCW < 1916.5 mmHg% were optimal cut-off value to detect myocardial ischemia with an FFR ≤ 0.8. Global left ventricular myocardial work indices by echocardiography exhibited a good diagnostic value in patients with CAD and may have a good clinical significance for the screening of suspected myocardial ischemia.

Indexed as

Coronary AngiographyCoronary Artery DiseaseFractional Flow Reserve, MyocardialPredictive Value of TestsVentricular Function, LeftAgedCardiac CatheterizationFemaleHumansMaleMiddle AgedMyocardial ContractionMyocardial IschemiaProspective StudiesReproducibility of ResultsVentricular PressureCoronary artery diseaseCoronary fractional flow reserveEchocardiographyMyocardial ischemiaMyocardial work

Identifiers

PMID39096407

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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.