Evidence map›Paper›PMID 26136933›Full record

ArticleExperimental and therapeutic medicine2015

Incremental value of resting three-dimensional speckle-tracking echocardiography in detecting coronary artery disease.

You-Jing Sun, Fang Wang, Rui-Sheng Zhang, Hai-Yan Wang, Chen-Guang Yang, Jie Cai, Wei-Er Zang, Ming-Zhou Li, Xin Qi, Jing Li

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

You-Jing SunDepartment of Ultrasonography, Beijing Hospital, Beijing 100730, P.R. China.
Fang WangDepartment of Cardiology, Beijing Hospital, Beijing 100730, P.R. China.
Rui-Sheng ZhangDepartment of Cardiology, Beijing Hospital, Beijing 100730, P.R. China.
Hai-Yan WangDepartment of Cardiology, Beijing Hospital, Beijing 100730, P.R. China.
Chen-Guang YangDepartment of Cardiology, Beijing Hospital, Beijing 100730, P.R. China.
Jie CaiDepartment of Cardiology, Beijing Hospital, Beijing 100730, P.R. China.
Wei-Er ZangDepartment of Cardiology, Beijing Hospital, Beijing 100730, P.R. China.
Ming-Zhou LiDepartment of Cardiology, Beijing Hospital, Beijing 100730, P.R. China.
Xin QiDepartment of Cardiology, Beijing Hospital, Beijing 100730, P.R. China.
Jing LiDepartment of Cardiology, Beijing Hospital, Beijing 100730, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to investigate the incremental value of resting three-dimensional speckle-tracking echocardiography (3D-STE) in the detection of early-stage left ventricular dysfunction in patients with coronary artery disease (CAD). A total of 110 patients suspected of having CAD were recruited. All patients underwent 3D-STE and coronary artery angiography (CAG). They were divided to a CAD group and a normal group according to the results of CAG. Using 3D-STE software, the peak values of longitudinal strain (LS), circumferential strain (CS), radial strain (RS) and area strain (AS) and the time to peak value of these strains (T-LS, T-CS, T-RS and T-AS) were measured. A receiver operator characteristic curve (ROC) was used to analyze the sensitivity of these strains for the diagnosis of CAD. ROC analysis indicated that T-LS and composite indices combining the peak strain value and time to peak of LS, CS and AS have diagnostic value for the early detection of CAD; the area under the curve (AUC) values were 0.667, 0.692, 0.621 and 0.672 respectively (P<0.005). The composite index of longitudinal strain demonstrated the highest diagnostic value for CAD with 62% sensitivity and 76% specificity. These results indicate that 3D-STE has incremental value for the diagnosis of CAD in patients at rest.

Indexed as

coronary artery diseaseleft ventricular dysfunctionstrainthree-dimensional speckle-tracking echocardiography

Identifiers

PMID26136933
PMCPMC4473507

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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.