Evidence map›Paper›PMID 35046712›Full record

ArticleInternational journal of general medicine2022

Enlarged Lumen Volume of Proximal Aortic Segment and Acute Type B Aortic Dissection: A Computer Fluid Dynamics Study of Ideal Aortic Models.

Yuan Peng, Xuelan Zhang, Jiehua Li, Xiaolong Zhang, Hao He, Xin Li, Kun Fang, Liancun Zheng, Chang Shu

Abstract read
In one paragraph

Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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.

2 · The registry

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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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Development of idealized human aortic models forFrontiers in cardiovascular medicine · 2024
    Article
4 · The record

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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

9 authors.

Yuan PengDepartment of Vascular Surgery, Second Xiangya Hospital, Central South University, Changsha, 410011, People's Republic of China.
Xuelan ZhangSchool of Mathematics and Physics, University of Science and Technology Beijing, Beijing, 100083, People's Republic of China.
Jiehua LiDepartment of Vascular Surgery, Second Xiangya Hospital, Central South University, Changsha, 410011, People's Republic of China.
Xiaolong ZhangDepartment of Vascular Surgery, Second Xiangya Hospital, Central South University, Changsha, 410011, People's Republic of China.
Hao HeDepartment of Vascular Surgery, Second Xiangya Hospital, Central South University, Changsha, 410011, People's Republic of China.
Xin LiDepartment of Vascular Surgery, Second Xiangya Hospital, Central South University, Changsha, 410011, People's Republic of China.
Kun FangDepartment of Vascular Surgery, Fuwai Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100037, People's Republic of China.
Liancun ZhengSchool of Mathematics and Physics, University of Science and Technology Beijing, Beijing, 100083, People's Republic of China.
Chang ShuDepartment of Vascular Surgery, Second Xiangya Hospital, Central South University, Changsha, 410011, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent study has revealed that enlarged diameters of the ascending aorta and proximal aortic arch enhance the probability of ATBAD. However, little is understood about the relation to ATBAD.

objectiveThis study explored the differences in proximal aortic segment (PAS) morphology in patients with acute type B aortic dissection (ATBAD), and performed hemodynamic simulations to provide proof of principle. MATERIALS AND

methodsThe morphological characteristics of PAS in the ATBAD group (n = 163) and corresponding segment in the control group (n = 120) were retrospectively measured. The morphological parameters were analyzed using comprehensive statistical approaches. Ridge regression analysis was also performed to determine the association between independent variable and dependent variable. P < 0.01 was considered significant. Idealized aortic models were established based on variables of statistical significance, and hemodynamic simulations were performed to evaluate blood flow changes caused by morphology.

resultsDiameters at landmarks of PAS were significantly larger in the ATBAD group. The lumen volume (V

conclusionIn the ATBAD group, the enlarged V

Indexed as

aortic dissectionaortic morphologyhemodynamicskinetic energyridge regression

Identifiers

PMID35046712
PMCPMC8763263

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