Evidence map›Paper›PMID 37627830›Full record

ArticleBioengineering (Basel, Switzerland)2023

Research on the Internal Flow Field of Left Atrial Appendage and Stroke Risk Assessment with Different Blood Models.

Jun Yang, Zitao Bai, Chentao Song, Huirong Ding, Mu Chen, Jian Sun, Xiaohua Liu

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

Article in Bioengineering (Basel, Switzerland), 2023. 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
1.5field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Beyond CHAAnnals of biomedical engineering · 2026
    Article
  2. Article
  3. Article
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 2 institutions in 1 country.

Jun YangSchool of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.ORCID 0000-0003-0350-8750
Zitao BaiSchool of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Chentao SongSchool of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Huirong DingXinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Mu ChenXinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-7291-0041
Jian SunXinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Xiaohua LiuSchool of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0001-8033-1683
Shanghai Jiao Tong University · CNUniversity of Shanghai for Science and Technology · CN

Funding

Clinical Research Plan of Shanghai Municipal Health Commission No. 20224Y0078Shanghai Natural Science Fund No.23ZR1444800
6 · The paper itself

Abstract

Extant clinical research has underscored that patients suffering from atrial fibrillation (AF) bear an elevated risk for stroke, predominantly driven by the formation of thrombus in the left atrial appendage (LAA). As such, accurately identifying those at an increased risk of thrombosis becomes paramount to facilitate timely and effective treatment. This study was designed to shed light on the mechanisms underlying thrombus formation in the LAA by employing three-dimensional (3D) left atrium (LA) models of AF patients, which were constructed based on Computed Tomography (CT) imaging. The distinct benefits of Computational Fluid Dynamics (CFD) were leveraged to simulate the blood flow field within the LA, using three distinct blood flow models, both under AF and sinus rhythm (SR) conditions. The potential risk of thrombus formation was evaluated by analyzing the Relative Residence Time (

Indexed as

atrial fibrillationcomputational fluid dynamicsleft atrial appendageleft atriumthrombus

Identifiers

PMID37627830
PMCPMC10451249
OpenAlexW4385654542

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.