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Updated: Jan 27, 2026
07:50
Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
Published on: April 18, 2025
897
Trends and Scientific Evolution in Endovascular Aneurysm Repair (EVAR) Research: A Comprehensive Bibliometric Study
Sinem Nur Sever1, Hale Oktem1, Yusuf Jamil2
1Department of Anatomy, Faculty of Medicine, Atilim University, Ankara, Turkey.
Summary
Endovascular aneurysm repair (EVAR) research has grown significantly, shifting focus to patient outcomes and complex cases. Future research should address global disparities and integrate AI for personalized treatments.
Area of Science:
- Vascular Surgery
- Medical Technology
- Bibliometrics
Background:
- Endovascular aneurysm repair (EVAR) is a standard treatment for abdominal aortic aneurysms.
- The global research landscape and evolution of EVAR require comprehensive analysis.
- Understanding publication trends and key contributors is crucial for advancing the field.
Purpose of the Study:
- To map publication trends in EVAR research over the past three decades.
- To identify key global contributors and institutions in EVAR research.
- To analyze thematic shifts and emerging focus areas in EVAR literature.
Main Methods:
- Bibliometric analysis of 4264 original research articles from Web of Science Core Collection (SCIE).
- Utilized VOSviewer for co-authorship, co-citation, and keyword co-occurrence mapping.
- Assessed citation trends, geographical distribution, and institutional contributions.
Main Results:
- Steady growth in EVAR research, peaking in 2024 with 295 publications.
- The United States leads publications (33.02%); Harvard University is a leading institution.
- Keyword analysis shows a shift from technical terms to clinical outcomes, with AI integration emerging.
Conclusions:
- EVAR research shows significant growth and a shift towards patient-centered outcomes.
- Research from low-resource settings is lacking, highlighting a global disparity.
- Future research should focus on radiation safety, emergency EVAR, AI-driven decision-making, and complex cases.
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