Evidence map›Paper›PMID 42474849›Full record

ArticleJournal of robotic surgery2026

Global research trends and clinical theme evolution in robot-assisted nephrectomy with venous tumor thrombectomy for renal cell carcinoma: a bibliometric and visualization analysis.

Le Kang, Jiahui Shao, Feng Wang, Meiwei Gong, Zhongwei Ma, Tianpeng Zhan, Yanghuang Zheng, Cheng Wang, Shujun Yang, Panfeng Shang

Abstract read
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In one paragraph

Article 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

10 authors.

Le KangDepartment of Urology, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, China.
Jiahui Shao *Department of Neurology, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, China.
Feng Wang *Department of Andrology, Lanzhou University First Hospital, Lanzhou, 730030, Gansu, China.
Meiwei GongDepartment of Urology, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, China.
Zhongwei MaDepartment of Urology, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, China.
Tianpeng ZhanDepartment of Urology, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, China.
Yanghuang ZhengDepartment of Urology, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, China.
Cheng WangDepartment of Urology, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, China.
Shujun YangDepartment of Urology, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, China.
Panfeng ShangDepartment of Urology, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, China. shangpf@lzu.edu.cn.

Funding

A Prospective Real-world Study of Adjuvant Treatment of High-risk Kidney Cancer After Voronib 2025-B-14-0929the Cuiying Science and Technology Innovation Project CY2021-QN-A13,CY2024-MS-B10the Cuiying Scientific and Technological Innovation Program of the Second Hospital & Clinical Medical School, Lanzhou University CY2024-MS-B03the General Project of the Joint Research Fund of Gansu Province, China: Diagnosis, Treatment and Prognosis of Kidney Cancer Based on Perirenal Fat Volume and Integrity 24JRRA926the Natural Science Foundation of Gansu Province 23JRRA0962the Provincial Youth Science and Technology Fund Program 22JR5RA1016the Research Project on Education and Teaching Reform of Lanzhou University DELC-202333
6 · The paper itself

Abstract

Robot-assisted nephrectomy with renal vein or inferior vena cava (IVC) tumor thrombectomy is a technically demanding procedure used in selected patients with renal cell carcinoma (RCC) and venous tumor thrombus. The research map of this field has not been clearly described, and recent technical, comparative, and systemic-therapy developments make an updated focused analysis timely. We searched the Science Citation Index Expanded of the Web of Science Core Collection from database inception to 4 May 2026. English articles and reviews about robot-assisted nephrectomy or radical nephrectomy with renal vein or IVC tumor thrombectomy for RCC were included. Titles, abstracts, keywords, authors, affiliations, journals, citations, and cited references were extracted. Python 3.11 was used for descriptive analysis, keyword analysis, co-citation analysis, visualization, and clinical theme coding. We included 51 SCIE publications from 2011 to 2026, including 40 articles and 11 reviews. The papers received 1229 citations, with a mean of 24.10 citations per paper and a median of 12. Annual publications peaked in 2020 with 7 papers. The United States published 24 papers, China published 21, and Italy published 8 when all author affiliations were counted. The Chinese People's Liberation Army General Hospital published 14 papers, and the University of Southern California published 7. Ma X, Zhang X, and Wang BJ were the most productive authors. European Urology, Journal of Urology, and Journal of Endourology were the leading journals. After term cleaning, the most frequent keywords were renal cell carcinoma, tumor thrombus, robotic surgery, experience, inferior vena cava, and thrombectomy. This field has moved from early technical exploration to early evidence building. Future work should use multicenter prospective designs and should study high-level IVC thrombus, long-term oncologic outcomes, perioperative safety after neoadjuvant therapy, robotic training, and multidisciplinary care pathways.

Indexed as

BibliometricsCarcinoma, Renal CellKidney NeoplasmsNephrectomyRobotic Surgical ProceduresThrombectomyHumansRenal VeinsVena Cava, InferiorBibliometricsInferior vena cava thrombectomyRadical nephrectomyRenal cell carcinomaRobot-assisted nephrectomyVenous tumor thrombusVisualization analysis

Identifiers

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Registered trials

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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.