Evidence map›Paper›PMID 42239690›Full record

ArticleFrontiers in neurology

A case-control study on blood vessel morphology, hemodynamic parameters, and rupture status of posterior communicating artery aneurysms.

Yanqing Yin, Jianghua Zhang, Zixiong Huang, Zhuangbin Liao, Heng Lin, Jie Li, Xiaoao Long, Jincheng Huang

Abstract read
In one paragraph

Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yanqing Yin *Department of Neurosurgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Jianghua Zhang *Department of Neurosurgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Zixiong Huang *Department of Neurosurgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Zhuangbin LiaoDepartment of Neurosurgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Heng LinDepartment of Neurosurgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Jie LiDepartment of Neurosurgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Xiaoao LongDepartment of Neurosurgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Jincheng HuangDepartment of Neurosurgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Individual assessment of intracranial aneurysm (IA) rupture risk is difficult; a deeper understanding of the factors that precipitate rupture is crucial to advance clinical decision-making. This study aims to analyze risk factors for rupture in posterior communicating artery (PComA) aneurysms, focusing on the influence of vascular morphology and hemodynamic parameters. Specifically, it examined demographic and clinical characteristics, vessel morphology, and hemodynamic factors, aiming to identify predictors of aneurysm rupture and inform preventive strategies. Methods: A retrospective analysis was conducted using clinical data of 362 patients with ruptured and unruptured PComA aneurysms from January 2020 to December 2024. Statistical analyses assessed differences between groups, associations between demographic and clinical characteristics, vessel morphology, and hemodynamic parameters and rupture status, and predictive factors for aneurysm rupture. Results: Two hundred and twenty-four patients with ruptured PComA aneurysms (50 male, 174 female) in the ruptured PComA aneurysm group were compared with 138 patients with unruptured PComA aneurysms (30 male, 108 female) in the unruptured PComA aneurysm group. Findings revealed significant differences in smoking status, educational experience, blood pressure, aneurysm size, shape feature, aneurysm inclination angle, size ratio (SR),wall shear stress (WSS), and flow velocity (FV) ( Conclusion: In hypertensive smokers with lower educational experience, several factors may be associated with a higher risk of PComA aneurysm rupture: larger aneurysm size, irregular shape, higher inclination angle and SR, as well as lower WSS and FV. However, the relative contributions of morphological and hemodynamic factors, their possible correlations, and the ability of these markers to predict rupture risk require external validation. Therefore, larger prospective studies, multi-center investigations, and follow-up of ethnically diverse cohorts of patients with unruptured PComA aneurysms are warranted.

Indexed as

hemodynamicsindicatorsmorphologyposterior communicating artery aneurysmrisk factorrupture

Identifiers

PMID42239690
PMCPMC13225998

What Socratic holds

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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 Socratic graph.