Evidence map›Paper›PMID 42616212›Full record

ReviewJournal of robotic surgery2026

Global trends and emerging frontiers in robot-assisted vascular intervention: a comprehensive bibliometric analysis.

Xiaotian Wu, Jing He, Shuaiwei Guo, Xiao Zhang, Zixuan Xing, Shengyan Cui, Linsen Zhang, Xiangyu Li, Yixin Sun, Jichang Luo and 3 more

Abstract readReview
In one paragraph

Review in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Xiaotian Wu *Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, National Center for Neurological Disorders, Capital Medical University, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China.
Jing He *Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Shuaiwei Guo *Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, National Center for Neurological Disorders, Capital Medical University, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China.
Xiao Zhang *Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, National Center for Neurological Disorders, Capital Medical University, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China.
Zixuan XingDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, National Center for Neurological Disorders, Capital Medical University, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China.
Shengyan CuiDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, National Center for Neurological Disorders, Capital Medical University, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China.
Linsen ZhangInstitute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Haidian District, Beijing, 100190, China.
Xiangyu LiDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, National Center for Neurological Disorders, Capital Medical University, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China.
Yixin SunDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, National Center for Neurological Disorders, Capital Medical University, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China.
Jichang LuoDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, National Center for Neurological Disorders, Capital Medical University, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China.
Liqun JiaoDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, National Center for Neurological Disorders, Capital Medical University, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China. liqunjiao@sina.cn.ORCID https://orcid.org/0000-0003-4982-6295
Shiqi LiuInstitute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Haidian District, Beijing, 100190, China. shiqi.liu@ia.ac.cn.
Tao WangDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, National Center for Neurological Disorders, Capital Medical University, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China. wangtao_dr@sina.com.

Funding

Beijing Natural Science Foundation L251071, L246047, L232137, Z241100009024031Beijing Nova Program 20230484336National Natural Science Foundation of China 62303463National Natural Science Foundation of China U25A20142Natural Science Foundation of Beijing Municipality 2023HQ50Noncommunicable Chronic Diseases-National Science and Technology Major Project 2024ZD0539500
6 · The paper itself

Abstract

Robot-assisted vascular intervention may reduce occupational radiation exposure, improve procedural stability, and expand access to specialized endovascular care, but its global research landscape and developmental trajectory remain unclear. Publications related to robot-assisted vascular intervention were retrieved from the Web of Science Core Collection from January 1, 2006, to February 28, 2026. After screening according to predefined inclusion and exclusion criteria, 161 eligible articles were included. Bibliometric and visual analyses were performed using VOSviewer and CiteSpace to evaluate publication trends, countries, institutions, journals, authors, citation patterns, keyword co-occurrence, thematic clusters, and emerging hotspots. Annual publications increased markedly after 2020 and peaked in 2024. Reviews (29.8%) and observational clinical studies (26.7%) predominated, whereas randomized controlled trials remained scarce (1.9%). CorPath GRX was the most frequently reported robot-assisted vascular intervention platform, while the emergence of ETcath200 and others newer systems reflected increasing global platform diversification. The United States was the leading contributor, followed by China and the United Kingdom. The University of California System, Houston Methodist, and the University of Toronto were the most productive institutions. Highly cited studies were dominated by the studies of robotic-assisted percutaneous coronary intervention, although peripheral and neurointerventional applications have become increasingly prominent. Keyword analyses suggested an evolution from early feasibility, safety, and radiation-protection concerns toward broader clinical translation, remote intervention, artificial intelligence, and autonomous navigation. Robot-assisted vascular intervention is a rapidly expanding, multidisciplinary field, but its evidence base remains relatively immature. Future research should emphasize multicenter validation, cross-specialty collaboration, procedural standardization, and intelligent robotic assistance to support safer and more reproducible endovascular care.

Indexed as

BibliometricsEndovascular ProceduresRobotic Surgical ProceduresVascular Surgical ProceduresHumansBibliometric analysisEndovascular robotRobot-assisted vascular intervention

Identifiers

PMID42616212
PMCPMC13490205

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.