Evidence map›Paper›PMID 29133915›Full record

ArticleScientific reports2017

Impact of spatial characteristics in the left stenotic coronary artery on the hemodynamics and visualization of 3D replica models.

Yang Yang, Xin Liu, Yufa Xia, Xin Liu, Wanqing Wu, Huahua Xiong, Heye Zhang, Lin Xu, Kelvin K L Wong, Hanbin Ouyang and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

11 authors.

Yang YangSchool of Basic Medical Science, Southern Medical University, Guangzhou, Guangdong, China.
Xin LiuShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
Yufa XiaShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
Xin LiuSchool of Basic Medical Science, Southern Medical University, Guangzhou, Guangdong, China.
Wanqing WuShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
Huahua XiongDepartment of Ultrasound, The Second People's Hospital of Shenzhen, Shenzhen University 1st Affiliated Hospital, Shenzhen, 518029, China.
Heye ZhangShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
Lin XuDepartment of CardiologyGuangzhou, General Hospital of Guangzhou Military Region, PLA, Guangzhou, China.
Kelvin K L WongSchool of Medicine, Western Sydney University, Sydney, Australia.
Hanbin OuyangSchool of Basic Medical Science, Southern Medical University, Guangzhou, Guangdong, China. robin85@163.com.
Wenhua HuangSchool of Basic Medical Science, Southern Medical University, Guangzhou, Guangdong, China. 13822232749@139.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease has been the major cause of death worldwide. Although the initiation and progression mechanism of the atherosclerosis are similar, the stenotic characteristics and the corresponding medical decisions are different between individuals. In the present study, we performed anatomic and hemodynamic analysis on 8 left coronary arterial trees with 10 identified stenoses. A novel boundary condition method had been implemented for fast computational fluid dynamics simulations and patient-specific three-dimensional printed models had been built for visualizations. Our results suggested that the multiple spatial characteristics (curvature of the culprit vessel multiplied by an angle of the culprit's vessel to the upstream parent branch) could be an index of hemodynamics significance (r = -0.673, P-value = 0.033). and reduction of the maximum velocity from stenosis to downstream was found correlated to the FFRCT (r = 0.480, p = 0.160). In addition, 3D printed models could provide accurate replicas of the patient-specific left coronary arterial trees compare to virtual 3D models (r = 0.987, P-value < 0.001). Therefore, the visualization of the 3D printed models could help understand the spatial distribution of the stenoses and the hand-held experience could potentially benefit the educating and preparing of medical strategies.

Indexed as

Models, CardiovascularPrinting, Three-DimensionalAgedComputed Tomography AngiographyCoronary AngiographyCoronary StenosisCoronary VesselsHemorheologyHumansMiddle AgedModels, AnatomicPatient Care PlanningRetrospective Studies

Identifiers

PMID29133915
PMCPMC5684364

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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.