Evidence map›Paper›PMID 42262714›Full record

ArticleUpdates in surgery2026

Global trends in robotic-assisted laparoscopic surgery (RALS): a bibliometric analysis (2000-2024).

Yuhan Chen, Shasha Chen, Ying Liu, Xingyu Chen, Ziyan Li, Shiliang Dong, Bian Wu, Zhiyong Dong, Peng Xiong

Abstract read
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In one paragraph

Article in Updates in 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

9 authors.

Yuhan ChenDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, 601 West Huangpu Road, Guangzhou, 510632, China.
Shasha ChenDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, 601 West Huangpu Road, Guangzhou, 510632, China.
Ying LiuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, 601 West Huangpu Road, Guangzhou, 510632, China.
Xingyu ChenDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, 601 West Huangpu Road, Guangzhou, 510632, China.
Ziyan LiDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, 601 West Huangpu Road, Guangzhou, 510632, China.
Shiliang DongDepartment of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou, China.
Bian WuDepartment of General Surgery II, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, No. 157, Jingbi Road, Kunming, 650032, Yunnan, China.
Zhiyong DongDepartment of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou, China. dongzy2008@163.com.
Peng XiongDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, 601 West Huangpu Road, Guangzhou, 510632, China. paulxiongwhu@gmail.com.ORCID http://orcid.org/0000-0002-4092-8028

Funding

Guangdong Basic and Applied Basic 515 Research Foundation 2022A1515110261Guangzhou Science and Technology Plan Project 2024A03J1037
6 · The paper itself

Abstract

The growing use of robotic systems in minimally invasive surgery has enhanced precision, reduced pain, and sped up recovery. This study aims to: (1) analyze publication trends in RALS; (2) identify leading countries, institutions, and authors; (3) highlight research hotspots and influential literature; (4) explain current trends; and (5) explore future directions to guide researchers. A bibliometric analysis was conducted using publication data from January 2000 to September 2024, analyzing metrics such as publications, citations, and collaborations. Key institutions, authors, and articles in RALS research were identified, along with trends in international collaborations. Data from the Web of Science was used, with modularity Q and silhouette S metrics to assess network structures. The analysis of global RALS research from 2000 to 2024 revealed substantial growth, with annual publications rising from fewer than 10 in the early 2000s to over 300 by 2022. The U.S. led in output and collaboration, with key institutions like Johns Hopkins and Mayo Clinic, and authors such as Scambia G and Yang GZ being highly cited. Keyword analysis identified themes like "robotic surgery" and "laparoscopy," with a growing focus on advanced robotic techniques. Despite overall growth, a slight decline in publications and citations in 2023 suggests a shift toward emerging technologies. The bibliometric analysis of RALS from 2000 to 2024 showed significant growth but highlighted challenges in global access. It emphasized the need for international collaboration and AI integration while calling for further research on cost-effectiveness, outcomes, and training for equitable global access.

Indexed as

Bibliometric analysisData visualizationDa Vinci surgical systemMinimally invasive surgery

Identifiers

What OpenQuestion holds

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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.