Evidence map›Paper›PMID 34515575›Full record

ArticleThe Journal of international medical research2021

Asymmetric distribution of pathogenic low wall shear stress of the bilateral subclavian arteries: two case reports.

Huai Wu Yuan, Jin Xun Yao, Si Yu Huang, Min Yong Cui, Ren Jie Ji, Jia Rui Li, Li Hua Chen

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 80% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 1 institution in 1 country.

Huai Wu YuanDepartment of Neurology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China.ORCID https://orcid.org/0000-0002-8066-4477
Jin Xun YaoCollege of Aeronautics and Astronautics, 12377Zhejiang University, Zhejiang University, Hangzhou, Zhejiang Province, China.
Si Yu HuangDepartment of Neurology, Shengzhou People's Hospital, Shengzhou, Zhejiang Province, China.
Min Yong CuiDepartment of Ultrasonography, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China.
Ren Jie JiDepartment of Neurology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China.
Jia Rui LiDepartment of Neurology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China.
Li Hua ChenCollege of Aeronautics and Astronautics, 12377Zhejiang University, Zhejiang University, Hangzhou, Zhejiang Province, China.
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effects of increasing blood flow on the pathogenic wall shear stress (pWSS) of subclavian arteries (SAs) are currently unclear. Patient-specific models of the SA were constructed based on computed tomographic images from two patients. Using the Ansys Fluent 19.0 transient laminar flow solver, the finite volume method was chosen to solve the Navier-Stokes equation governing fluid behavior. The time-averaged wall shear stress, ratio of risk area, cumulative ratio of risk area (

Indexed as

Models, CardiovascularSubclavian ArteryBlood Flow VelocityComputer SimulationHemodynamicsHumansStress, Mechanicalatherosclerosiscase reportratio of risk arearatio of risk timestenosisSubclavian arterywall shear stress

Identifiers

PMID34515575
PMCPMC8442501
OpenAlexW3200996503

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.