Evidence map›Paper›PMID 42436561›Full record

ArticleSystematic reviews2026

Do robot-assisted percutaneous vascular interventions improve effectiveness and safety compared with manual procedures: protocol for a systematic review and meta-analysis.

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

Abstract read
In one paragraph

Article in Systematic reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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, Capital Medical University, National Center for Neurological Disorders, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China.
Shuaiwei Guo *Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, National Center for Neurological Disorders, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China.
Xiao Zhang *Department of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, National Center for Neurological Disorders, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China.
Zixuan XingDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, National Center for Neurological Disorders, 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.
Shengyan CuiDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, National Center for Neurological Disorders, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China.
Xiangyu LiDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, National Center for Neurological Disorders, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China.
Yixin SunFirst Hospital, Peking University, Beijing, China.
Jichang LuoDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, National Center for Neurological Disorders, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China.
Xinjie LinDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, National Center for Neurological Disorders, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China.
Liqun JiaoDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute, Capital Medical University, National Center for Neurological Disorders, 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, Capital Medical University, National Center for Neurological Disorders, No. 45 Changchun Ave, Xicheng District, Beijing, 100053, China. wangtao_dr@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobot-assisted percutaneous vascular interventions have emerged as a promising technology across cardiovascular, neurovascular, and peripheral vascular procedures. Although robotic systems may offer advantages such as enhanced precision and reduced radiation exposure, their clinical effectiveness and safety compared with conventional manual techniques remain uncertain, and the current level of procedural autonomy has not been systematically evaluated. This study seeks to provide direct and practical clinical evidence for clinicians. METHODS AND ANALYSIS: In this protocol, Preferred Reporting Items for systematic review and meta-analysis Protocols were followed. A comprehensive search will be conducted in PubMed, EMBASE, Web of Science, and Cochrane Central Register of Controlled Trials from inception to January 31, 2026. Inclusion criteria encompass randomized controlled trials and observational studies (both comparative and single-arm) evaluating robot-assisted interventions across cardiovascular, neurovascular, and peripheral vascular territories in adult populations. The primary outcomes are clinical success rates and major adverse cardiovascular/cerebrovascular events (MACE) rates. Secondary outcomes include technical success rates, procedural efficiency metrics, and radiation exposures. Comparative studies will be used for the primary effectiveness analyses, whereas single-arm studies will be analyzed separately as descriptive and supportive evidence. We will assess the quality of evidence, heterogeneity, and reporting bias following the recommendations of the Cochrane Handbook for systematic reviews of interventions. DISCUSSION: This systematic review will synthesize high-quality evidence on the comparative efficacy and safety of robot-assisted versus manual vascular interventions, with territory-specific analyses as the primary analytical framework. Any pan-vascular pooled estimate will be considered secondary or exploratory and interpreted in the context of cardiovascular, neurovascular, and peripheral vascular-specific findings. By clarifying the true clinical value of endovascular robotics across multiple territories, our findings will directly inform clinical decision-making, optimize procedural strategies, and guide future technological innovation. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD420251231572.

Indexed as

Endovascular ProceduresRobotic Surgical ProceduresVascular Surgical ProceduresHumansMeta-Analysis as TopicSystematic Reviews as TopicPercutaneous vascular interventionProtocolRoboticsSystematic review and meta-analysis

Identifiers

PMID42436561
PMCPMC13663121

What OpenQuestion holds

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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 OpenQuestion graph.