Observational studyThe international journal of cardiovascular imaging2018
Implication of coronary CT angiography combined with four-dimensional speckle tracking echocardiography for predicting major adverse cardiac events.
Observational study in The international journal of cardiovascular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Coronary computed tomography angiography (CCTA) can provide abundant information about the anatomy of the coronary artery. However, this modality is limited in evaluation of myocardial function. Four-dimensional speckle tracking echocardiography (4DSTE) is a novel and sensitive technique for quantitative evaluation of myocardial deformation. We estimated the value of these imaging modalities to predict the risk of MACE in 209 patients with suspected coronary artery disease(CAD) after a median follow-up of 727 days. Three models were established: (1) CCTA alone, (2) CCTA combined with 4DSTE, and (3) CCTA combined with 4DSTE and clinical risk factors. Forty-six (22.0%) patients developed MACE. The hazard ratio (HR) of CCTA classification to predict the risk of MACE was greater (HR = 4.86) than for other parameters, including B-type natriuretic peptide (BNP) (HR = 2.44) and left ventricular ejection fraction (LVEF) (HR = 0.40). The area under the curve of models 2 and 3 to predict MACE was significantly greater than that of model 1 (0.92 and 0.93 vs. 0.84, respectively, p < 0.001). We conclude that there is direct relationship between CCTA classification and MACE risk. CCTA combined with 4DSTE can improve the ability of CCTA to predict the risk of MACE. This approach provides cardiologists a noninvasive, objective, and efficient method to predict MACE.
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Registered trials
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.