Evidence map›Paper›PMID 41623664›Full record

ReviewFrontiers in pediatrics2026

Research hotspots and trends in robot-assisted surgery in pediatric urology: a bibliometric review based on CiteSpace visual analysis.

Jingyi He, Diyi Luo

Abstract readReview
In one paragraph

Review in Frontiers in pediatrics, 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

2 authors.

Jingyi HeDepartment of Pediatric Urinary Disease Center Nursing, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Diyi LuoDepartment of Pediatric Urinary Disease Center Nursing, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to analyze the global research landscape of robot-assisted surgery in pediatric urology, identify developmental trends through visualization methods, and provide references and recommendations for future research directions. Methods: A retrospective bibliometric analysis was conducted using literature retrieved from PubMed and Web of Science Core Collection, covering the period from January 2005 to March 2025. CiteSpace 6.4.R1 software was used for data processing and visualization. Analyses included publication trends, keyword co-occurrence, keyword clustering, and burst detection to construct knowledge maps and explore research dynamics. Results: A total of 498 publications were included in the analysis. The number of publications showed a clear upward trend. The author collaboration network was relatively dense, with an identifiable core research team. The University of Chicago emerged as the leading institution in terms of publication volume in the field of robot-assisted surgery in pediatric urology. Gundeti MS was the most productive author, contributing 51 published papers to the field. Keyword clustering analysis revealed 10 clusters, and burst detection identified 20 keywords with significant citation bursts. Conclusions: Current international research primarily focuses on disease classification and surgical techniques in robot-assisted surgery in pediatric urology. Future studies should continue to explore the clinical potential of robot-assisted surgery, broaden its application scope, and promote the diversified development of pediatric urology.

Indexed as

bibliometricsCiteSpacepediatric urologyreviewrobot-assisted surgeryvisualization

Identifiers

PMID41623664
PMCPMC12855132

What OpenQuestion holds

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LicenceCC BY
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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.