Evidence map›Paper›PMID 41679896›Full record

ArticleJournal of Korean Neurosurgical Society2026

The Feasibility, Accuracy and Safety of Robot-Assisted Ventriculoperitoneal Shunt.

Zhao Gao, Yuanyuan Dang, Jiayu Liu, Yuxin Wang, Xudong Shi, Xiangyang Bao, Lijuan Wang, Jianning Zhang, Hulin Zhao

Abstract read
In one paragraph

Article in Journal of Korean Neurosurgical Society, 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

9 authors.

Zhao GaoSenior Department of Neurosurgery, Chinese PLA General Hospital, Beijing, China.
Yuanyuan DangSenior Department of Neurosurgery, Chinese PLA General Hospital, Beijing, China.
Jiayu LiuSenior Department of Neurosurgery, Chinese PLA General Hospital, Beijing, China.
Yuxin WangMedical School of Chinese PLA, Beijing, China.
Xudong ShiMedical School of Chinese PLA, Beijing, China.
Xiangyang BaoSenior Department of Neurosurgery, Chinese PLA General Hospital, Beijing, China.
Lijuan WangSenior Department of Neurosurgery, Chinese PLA General Hospital, Beijing, China.
Jianning ZhangSenior Department of Neurosurgery, Chinese PLA General Hospital, Beijing, China.
Hulin ZhaoSenior Department of Neurosurgery, Chinese PLA General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveVentriculoperitoneal shunt (VPS) treats hydrocephalus effectively, but manual ventricular catheter placement has a high misplacement rate. This study assesses the feasibility, accuracy, and safety of robot-assisted VPS.

methodsA retrospective analysis was performed on the clinical data of 87 patients from 2022 to 2024, with 42 receiving robot-assisted VPS and 45 receiving conventional manual VPS. Logistic regression analysis was performed to identify risk factors affecting placement accuracy.

resultsThe robot-assisted cohort showed smaller bilateral frontal horn diameters and a lower Evans index (p<0.05). It achieved higher placement accuracy, required fewer puncture attempts, and had a lower postoperative complication rate (p<0.05). No significant difference was found in operation time (p>0.05). Logistic regression analysis confirmed robot-assistance as a key factor for accurate catheter placement (odds ratio, 6.52; p<0.001).

conclusionRobot-assisted VPS achieves precise placement, reduces puncture attempts and complications, and does not increase time costs, confirming its clinical feasibility, accuracy, and safety.

Indexed as

HydrocephalusNeurosurgeryRobotic surgical proceduresStereotaxic techniquesVentriculoperitoneal shunt

Identifiers

PMID41679896
PMCPMC13172779

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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.