SynthesisJournal of robotic surgery2026
Global landscape of robot-assisted complex ureteral reconstruction: a bibliometric and knowledge-mapping analysis.
Synthesis 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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Complex ureteral reconstruction is technically demanding. Traditional open and laparoscopic approaches entail significant trauma, limited visibility, and poor dexterity. Robot-assisted systems, with three-dimensional high-definition (3D HD) vision, multi-degree-of-freedom(DOF)instruments, and precise suturing capabilities, can reduce the technical difficulty and improve outcomes to some extent. Although research output has grown rapidly, a comprehensive bibliometric analysis of the overall landscape, collaboration networks, and trends is lacking. This study visualizes the global knowledge base and research frontiers of robot-assisted complex ureteral reconstruction (RACUR). We searched the Web of Science Core Collection (WoSCC) from inception through July 1, 2026, for English-language articles and reviews addressing RACUR. The revised search and final data export were completed on July 18, 2026. After Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-based screening, 312 publications (272 articles and 40 reviews) were included. VOSviewer, CiteSpace, Scimago Graphica, Microsoft Excel, and R were used to analyze publication and citation trends, collaboration networks, journals, co-cited references, keywords, source concentration, author productivity and reconstructive techniques. The corpus had received 4,441 citations (mean, 14.23 per publication; h-index, 35). Annual output reached 48 publications in 2025; 29 additional publications were identified through July 1, 2026. Under full counting, the USA contributed the most publications (n = 153), whereas Italy had the highest country-level total link strength (43). The evidence portfolio was dominated by retrospective case series (151, 48.4%) and retrospective comparative cohorts (60, 19.2%). Among original articles, the leading primary techniques were direct ureteral reimplantation (74), ureteroureterostomy (41), oral mucosa graft ureteroplasty (32), Boari flap/psoas hitch reimplantation (23), and ileal ureter replacement (22). Of the 272 articles, 165 (60.7%) were published during 2021-2026. Keyword and burst patterns suggested an interpretive transition from feasibility and reimplantation-oriented work toward image guidance, graft or substitution techniques, and complex stricture reconstruction. RACUR research has expanded substantially but remains geographically concentrated and methodologically limited by predominantly retrospective evidence. Future multicenter prospective studies, standardized outcome definitions, health-economic evaluations, and independent assessment of emerging robotic platforms are needed to clarify the appropriate role of RACUR across clinical indications.
Indexed as
Identifiers
42579027What OpenQuestion holds
Registered trials
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.