Evidence map›Paper›PMID 37923845›Full record

ArticleScientific reports2023

Impacts of morphology parameters on the risk of rupture in intracranial aneurysms: statistical and computational analyses.

Yujing Wang, Jing Jin, Jie Chen, Peng Chen, Seyyed Amirreza Abdollahi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 2 countries.

Yujing WangCollege of Health Informatics, Chongqing Medical University, No.1 Medial Road, 400010, Chongqing, China.
Jing JinCollege of Health Informatics, Chongqing Medical University, No.1 Medial Road, 400010, Chongqing, China. jinjing2003@163.com.
Jie ChenDepartment of Neurosurgery, Chongqing University Cancer Hospital, 400000, Chongqing, China.
Peng ChenCollege of Health Informatics, Chongqing Medical University, No.1 Medial Road, 400010, Chongqing, China.
Seyyed Amirreza AbdollahiFaculty of Mechanical Engineering, University of Tabriz, Tabriz, Iran. s.a_abdollahi@yahoo.com.
Chongqing Medical University · CNChongqing Cancer Hospital · CNUniversity of Tabriz · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hemodynamic analysis of the blood stream inside the cerebral aneurysms reveals the risk of the aneurysm rupture. In addition, the high risk region prone to rupture would be determined by the hemodynamic analysis of the blood. In present article, computational fluid dynamic is used for the investigation of the hemodynamic effects on the aneurysm wall and risk of rupture. This study tries to find the connection between the risk of rupture with three geometrical features of aneurysm i.e., Ellipsoid Max semi-axis, Size ratio and Tortuosity. Statistical analysis is done over 30 different ruptured /unruptured ICA aneurysms to find meaningful relation between selected geometrical factors and rupture risk. The hemodynamic analysis is done over four distinct aneurysm models to attain more details on effects of chosen geometrical factors. The results of simulations indicate that the Ellipsoid Max semi-axis have meaningful impacts on the risk of rupture.

Indexed as

Aneurysm, RupturedIntracranial AneurysmHemodynamicsHumansHydrodynamicsRisk FactorsStress, Mechanical

Identifiers

PMID37923845
PMCPMC10624915
OpenAlexW4388284168

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.