Evidence map›Paper›PMID 42067694›Full record

ReviewJournal of robotic surgery2026

Global research trends in robot-assisted urethral reconstruction for urethral stricture disease: a visualized bibliometric analysis.

Longtu Ma, Xiaoyu Huang, Long Cheng, Xi Xiao, Hua Ma, Zhilong Dong

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.

Longtu MaDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730000, Gansu, China.
Xiaoyu HuangThe Affiliated Taian City Central Hospital of Qingdao University, Taian, China.
Long ChengDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730000, Gansu, China.
Xi XiaoDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730000, Gansu, China.
Hua MaCollege of Medical Information and Artificial Intelligence, Shandong First Medical University, Jinan, Shandong, China. hma@sdfmu.edu.cn.
Zhilong DongDepartment of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730000, Gansu, China. dzl19780829@163.com.

Funding

Cuiying Science and Technology Innovation Program CY2024-LC-A01Fundamental Research Funds for Central Universities lzujbky-2023-ct06Gansu Province Joint Research Fund 23JRRA1509Gansu Province Key Talent Program 2023RCXM42Gansu Province Major Science and Technology Special Project 24ZDFA007National Natural Science Foundation of China 82160148
6 · The paper itself

Abstract

Robot-assisted urethral reconstruction has emerged as an important minimally invasive option for urethral stricture disease, particularly in complex, recurrent, or anatomically challenging cases. In reconstructive practice, the operative field is often deep and restricted, making exposure and precise suturing technically demanding. By providing stable three-dimensional visualization, enhanced dexterity, and improved intracorporeal suturing capability, robotic systems have expanded the feasibility of complex urethral reconstruction. However, despite growing clinical interest, the knowledge structure, research hotspots, and developmental trajectory of this field have not been systematically characterized. We therefore performed a bibliometric and visualized analysis of research on robot-assisted urethral reconstruction for urethral stricture disease. Publications indexed in the Web of Science Core Collection were retrieved from the Science Citation Index Expanded for the period from January 1, 2008 to December 31, 2025. Bibliometrix, VOSviewer, CiteSpace, and Scimago Graphica were used to evaluate publication trends, contributions by countries and institutions, author productivity and collaboration, journal distribution, highly cited references, and keyword dynamics. A total of 143 publications were included, comprising 109 original articles and 34 reviews. Overall publication output increased steadily, with a more pronounced rise in recent years. The United States remained the leading contributor in both productivity and citation impact, while China and several other countries showed growing participation, suggesting gradual international expansion beyond a limited number of early high-volume centers. Research activity was concentrated in a small group of influential institutions, particularly New York University and NYU Langone Medical Center. The most productive journals were Urology, Translational Andrology and Urology, and Journal of Endourology, whereas The Journal of Urology, Urology, and European Urology showed strong citation influence, indicating that the field is expanding within specialized reconstructive practice while still drawing heavily on established urologic knowledge platforms. Keyword co-occurrence, clustering, burst detection, and timeline analyses revealed a distinctly reconstruction-oriented research profile. Major hotspots included urethral stricture, urethroplasty, reconstruction, and management, with sustained attention to buccal mucosa grafting, vesicourethral anastomosis, complications, and postoperative recovery. Temporal evolution suggested a clear shift from early emphasis on technical feasibility and initial experience toward refined reconstructive strategies, graft-based approaches, and outcome-oriented evaluation. This transition indicates that the field is moving from proof-of-concept adoption toward procedural optimization and more standardized assessment of clinical benefit. In summary, research on robot-assisted urethral reconstruction for urethral stricture disease is expanding globally and progressing toward a more reconstruction-centered and outcomes-focused stage. By clarifying who is driving knowledge production, which themes dominate current research, and where major evidence gaps remain, the present study provides a practical reference for future research prioritization, multicenter collaboration, and the generation of more standardized clinical evidence in robot-assisted urethral reconstruction.

Indexed as

BibliometricsPlastic Surgery ProceduresRobotic Surgical ProceduresUrethraUrethral StrictureHumansMaleBibliometric analysisBuccal mucosa graftRobot-assisted urethral reconstructionUrethral stricture diseaseUrethroplasty

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.