Evidence map›Paper›PMID 42742632›Full record

ReviewJournal of robotic surgery2026

Global trends and hotspots in robot-assisted gastrointestinal endoscopy: a bibliometric and visualization analysis.

Xianglong Meng, Yifang Li, Xiaoping Han, Ge Liu, Ying Geng, Jian Jiao

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.

Xianglong MengDepartment of Gastroenterology and Hepatology, China-Japan Union Hospital of Jilin University, Changchun, 130000, China.
Yifang LiDepartment of Gastroenterology and Hepatology, China-Japan Union Hospital of Jilin University, Changchun, 130000, China.
Xiaoping HanDepartment of Gastroenterology and Hepatology, China-Japan Union Hospital of Jilin University, Changchun, 130000, China.
Ge LiuDepartment of Gastroenterology and Hepatology, China-Japan Union Hospital of Jilin University, Changchun, 130000, China.
Ying GengDepartment of Gastroenterology and Hepatology, Chifeng Municipal Hospital, Chifeng, 024000, China.
Jian JiaoDepartment of Gastroenterology and Hepatology, China-Japan Union Hospital of Jilin University, Changchun, 130000, China. jjian@jlu.edu.cn.

Funding

Jilin Provincial Department of Finance No. 2025SCZ55 and 2024SCZ43
6 · The paper itself

Abstract

Robot-assisted gastrointestinal endoscopy represents an emerging frontier that extends robotic assistance from the abdominal cavity to the organ lumen; however, this field lacks comprehensive bibliometric mapping at a global level. We analyzed 886 articles published between 1999 and 2026 (2026 data are partial) and indexed in the Web of Science Core Collection using established bibliometric and visualization tools, and assessed author impact using composite bibliometric indices. Research activity progressed through three distinct phases: germination (1999-2010), growth (2011-2018), and rapid development (2019-2025). China led global output, whereas Italy achieved the highest per-article citation impact. The therapeutic share increased to 40.6% in the latest phase, yielding a therapeutic-to-diagnostic ratio of 1.19 and indicating a shift in research activity toward therapeutic interventions. Co-citation analysis revealed a maturing intellectual structure shifting from diagnostic platforms to therapeutic endoscopy and the integration of artificial intelligence, with permanent-magnet-driven systems, robot-assisted endoscopic submucosal dissection, and emerging endoscopic retrograde cholangiopancreatography and endoscopic ultrasound platforms representing the current frontiers. A dual-hub pattern emerged, with Italian engineering centers producing high-impact foundational work and a broad group of Chinese institutions driving high-volume clinical validation. The 2024-2026 interval suggested accelerated clinical translation, including first-in-human robotic procedures and regulatory milestones. This study provides a comprehensive bibliometric overview of robot-assisted gastrointestinal endoscopy, highlighting the importance of multicenter randomized trials, prospective health economic evaluations, and strengthened cross-institutional engineering-clinical collaboration.

Indexed as

BibliometricsEndoscopy, GastrointestinalRobotic Surgical ProceduresHumansCapsule endoscopyEndoscopic submucosal dissectionGastrointestinal endoscopyMagnetic navigationRobotic endoscopySurgical robotics

Identifiers

PMID42742632

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.