Evidence map›Paper›PMID 39729231›Full record

ReviewJournal of robotic surgery2024

Global trends and hotspots in robotic surgery over the past decade: a bibliometric and visualized analysis.

Mingyuan Song, Qi Liu, Haoxin Guo, Zhongqing Wang, Hao Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of robotic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

5 authors.

Mingyuan SongDepartment of Thyroid Surgery, The First Hospital of China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, P. R. China.
Qi LiuDepartment of Thyroid Surgery, The First Hospital of China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, P. R. China.
Haoxin GuoDepartment of Information Center, The First Hospital of China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, P. R. China.
Zhongqing WangDepartment of Information Center, The First Hospital of China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, P. R. China. wangzhongqing@cmu.edu.cn.
Hao ZhangDepartment of Thyroid Surgery, The First Hospital of China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, P. R. China. haozhang@cmu.edu.cn.

Funding

Applied Basic Research Program of Liaoning Province 2022020225-JH2/1013Basic Research Project Plan for Universities of Liaoning Provincial Department of Education LJ242410159046
6 · The paper itself

Abstract

Since its introduction, robotic surgery has experienced rapid development and has been extensively implemented across various medical disciplines. It is crucial to comprehend the advancements in research and the evolutionary trajectory of its thematic priorities. This research conducted a bibliometric analysis on the literature pertaining to robotic surgery, spanning the period from 2014 to 2023, sourced from the Web of Science database. The objective was to delineate the publication trends and trace the development of research topics within the domain of robotic surgery. From 2014 to 2023, there has been a consistent upward trend in the annual volume of publications concerning robotic surgery. The United States emerges as the leading country in terms of both the number of publications (n=3402) and citations (n=57731). The Journal of Robotic Surgery has the highest number of publications (n=506), while IEEE Transactions on Robotics has the highest number of citations (n=53). Yonsei University is the institution with the greatest number of publications (n=196), and the University of Washington has the highest average citation count (n=30). Alexandre Mottrie is the author with the most publications and citations (n=70 publications, n=1816 citations). Keyword analysis revealed seven distinct clusters: (1) applications and techniques of robotic surgery; (2) urological surgery and associated complications; (3) gastrointestinal diseases and surgical interventions; (4) robotic thyroid surgery and related complications; (5) gynecological diseases and corresponding surgical procedures; (6) Da Vinci robot and its training; (7) pulmonary diseases and associated surgeries. Artificial intelligence (AI) has been identified as a newly emerging keyword in the field. The corpus of literature on robotic surgery has seen a steady rise over the past decade, marked by extensive collaboration among various countries, institutions, and researchers. This study has delineated the global trends, identified research hotspots, highlighted emerging topics, and outlined the foundational knowledge within the field of robotic surgery. Looking forward, the integration of AI with robotic surgery is poised to offer substantial benefits and is anticipated to become a pivotal trend and area of focus in the field's future advancement.

Indexed as

BibliometricsRobotic Surgical ProceduresHumansBibliometricsRobotRobotic surgeryVisual analysis

Identifiers

PMID39729231

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.