A systemic review into carotid plaque features as predictors of restenosis after carotid endarterectomy-Reference-Cited by-同舟云学术

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A systemic review into carotid plaque features as predictors of restenosis after carotid endarterectomy

Published:2021-06 Issue:6 Volume:73 Page:2179-2188.e4
ISSN:0741-5214
Container-title:Journal of Vascular Surgery
language:en
Short-container-title:Journal of Vascular Surgery

Author:

Zhou Fubo,Hua Yang^ORCID,Ji Xunming,Jia Lingyun

Funder

Beijing Postdoctoral Science Foundation

Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Surgery

Reference63 articles.

1. Global, regional, and national burden of stroke, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016;Lancet Neurol,2019

2. Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications;Saba;Lancet Neurol,2019

3. Restenosis and risk of stroke after stenting or endarterectomy for symptomatic carotid stenosis in the International Carotid Stenting Study (ICSS): secondary analysis of a randomised trial;Bonati;Lancet Neurol,2018

4. Recurrent carotid stenosis;Stoney;Surgery,1976

5. Risk factors for restenosis after carotid revascularization: a meta-analysis of hazard ratios;Texakalidis;World Neurosurg,2019

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1. Plasma C-reactive protein is associated with a pro-inflammatory and adverse plaque phenotype;Atherosclerosis;2024-09

2. Vascular Calcification Heterogeneity from Bench to Bedside: Implications for Manifestations, Pathogenesis, and Treatment Considerations;Aging and disease;2024

3. Diabetes mellitus and adverse outcomes after carotid endarterectomy: A systematic review and meta-analysis;Chinese Medical Journal;2023-05-22

4. Carotid Plaque Features and Inflammatory Biomarkers as Predictors of Restenosis and Mortality Following Carotid Endarterectomy;International Journal of Environmental Research and Public Health;2022-10-26

5. Predictors of 30-day mortality using machine learning approach following carotid endarterectomy;Neurological Sciences;2022-09-15

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