Evidence map›Paper›PMID 40702755›Full record

ArticleCNS neuroscience & therapeutics2025

Age-Related Anatomical Changes in Carotid Artery Stenosis and Its Impact on Postoperative Complications in Stenting and Endarterectomy.

Xiao Zhang, Jia Zhou, Renjie Yang, Jiaqi Jin, Yong Zeng, Shuaiwei Guo, Jiayao Li, Yixin Sun, Zixuan Xing, Shengyan Cui and 6 more

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2025. 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
–field-weighted citation impact
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.

  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

16 authors.

Xiao ZhangDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jia ZhouState Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, China.ORCID 0000-0002-5567-9968
Renjie YangDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jiaqi JinDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yong ZengDepartment of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.ORCID 0000-0001-6962-0046
Shuaiwei GuoDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jiayao LiDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yixin SunFirst Hospital, Peking University, Beijing, China.
Zixuan XingHealth Science Center, Xi'an Jiaotong University, Xi'an, Shanxi, China.
Shengyan CuiDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xinyu YangDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xiangyu LiDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Wenjing LiLaboratory of Computational Biology and Machine Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0003-1154-2895
Xiaoli MinDepartment of Cerebrovascular Diseases, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.ORCID 0009-0009-1025-8041
Liqun JiaoDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-4982-6295
Tao WangDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.

Funding

Beijing Hospitals Authority's Ascent Plan DFL20220702Incubating Program of Capital Medical University PYZ22041National Natural Science Foundation of China 82301468Social Development Specialized Project of Yunnan Provincial Key Technology Research and Development Program 202203AC100007
6 · The paper itself

Abstract

aimsCarotid artery stenosis increases the risk of ischemic stroke, with carotid endarterectomy (CEA) and carotid artery stenting (CAS) as primary interventions. Age-related vascular changes may contribute to complications. This study aimed to evaluate the impact of age-related vascular changes on postoperative complications and procedural outcomes.

methodsA retrospective cohort of 470 patients who underwent CAS or CEA from January 2020 to November 2021 was analyzed. Demographics, anatomical characteristics, and postoperative complications were assessed. Correlation, regression analyses, and machine learning models were applied to identify predictors of adverse outcomes.

resultsPostoperative complications occurred in 64.9% of CAS and 75.2% of CEA patients. Older age correlated with larger CCA diameter, shorter clavicle-to-bifurcation distance, and increased tortuosity of both CCA and ICA. Several age-related anatomical changes were significantly linked to higher complication rates in both procedures. In CAS, key predictors included symptomatic stenosis, aortic arch variation, CCA ostial lesions, and CCA diameter (p < 0.05). A logistic regression model predicted CAS complications effectively (AUC = 0.82).

conclusionThis study highlights significant age-related changes in carotid artery anatomy and their impact on postoperative complications. These findings underscore the importance of considering age-related vascular remodeling to enhance patient selection and optimize surgical outcomes.

Indexed as

Carotid StenosisEndarterectomy, CarotidPostoperative ComplicationsStentsAgedAged, 80 and overAge FactorsCohort StudiesFemaleHumansMaleMiddle AgedRetrospective Studiesageanatomic profilescarotid artery stenosisendarterectomypostoperative complicationsstent

Identifiers

PMID40702755
PMCPMC12287541

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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.