Evidence map›Paper›PMID 42118468›Full record

ReviewJournal of robotic surgery2026

Research landscape, knowledge structure, and emerging frontiers of robot-assisted surgery for urolithiasis: a bibliometric and visualization analysis.

Hanlin Liu, Yuqiang Fu, Li Wang, Siyu Chen, Wei Shi, Xiaoran Li

Abstract readReview
PubMed Publisher
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

6 authors.

Hanlin LiuDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, 730000, China.
Yuqiang FuDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, 730000, China.
Li WangDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, 730000, China.
Siyu ChenDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, 730000, China.
Wei ShiDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, 730000, China.
Xiaoran LiDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, 730000, China. lixiaoran05@163.com.

Funding

National Natural Science Foundation of China 82160146Natural Science Foundation of Gansu Province 25JRRA584the Major Scientific Research Project for Scientific and Technological Innovation of the Gansu Province Health Commission GSWSQNPY2025-15
6 · The paper itself

Abstract

Robot-assisted techniques have been increasingly explored in urolithiasis, particularly in selected complex settings such as concomitant reconstruction, abnormal anatomy, and technically demanding stone burdens. However, the global research landscape, collaborative structure, knowledge base, and evolving hotspots of this field remain unclear. Publications on robot-assisted surgery for urolithiasis were retrieved from the Web of Science Core Collection (Science Citation Index Expanded) on 31 January 2026 and limited to English-language articles and reviews. Bibliometric and knowledge-mapping analyses were performed using bibliometrix/Biblioshiny, VOSviewer, and CiteSpace. A total of 213 publications were included. Annual output showed an overall upward trend, with more marked growth after 2019. Research activity was concentrated mainly in the USA, Western Europe, and East Asia. The USA led in publication output, citation impact, and network centrality, whereas European countries showed stronger regional collaboration. Asian countries represented an important source of recent growth, although the indexed literature from these countries suggested comparatively lower institutional consolidation and international integration. The field developed mainly along two recurring pathways: reconstruction-associated stone surgery and dedicated robotic endourology. Current hotspots are concentrated in technically demanding and clinically complex scenarios, with increasing attention to perioperative outcomes, robotic endourological platforms, artificial intelligence, and thulium fiber laser. Overall, robot-assisted urolithiasis remains a small but increasingly structured research domain with selective clinical applicability and still-limited evidence maturity. Future progress will depend on continued technical refinement, stronger comparative clinical evidence, clearer definition of appropriate indications, and more rigorous demonstration of where robotics provides meaningful added value in modern stone care.

Indexed as

BibliometricsRobotic Surgical ProceduresUrolithiasisHumansBibliometric analysisKnowledge mappingRobotic surgeryUrolithiasis

Identifiers

What OpenQuestion holds

Textmetadata
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.