Evidence map›Paper›PMID 42126657›Full record

ArticleJournal of robotic surgery2026

Research hotspots and trends of robotic hernia repair: a bibliometric analysis (2005-2025).

Beibei Cui, Jun He, Hongliang Yao

Abstract read
PubMed Publisher
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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Beibei CuiDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Jun HeDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China. junjunhe@csu.edu.cn.
Hongliang YaoDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China. yaohl0326@csu.edu.cn.

Funding

the Natural Science Foundation of Hunan Province 2023JJ30796the Natural Science Foundation of Hunan Province 2025JJ60668
6 · The paper itself

Abstract

Robotic hernia repair (RHR) has evolved into a technological evolution, offering enhanced visualization and precision compared to traditional laparoscopy. This bibliometric analysis evaluated 588 articles (2005-2025) retrieved from the Web of Science Core Collection. Global trends, contributors, collaborations, and emerging hotspots were identified using the R package "bibliometrix". Research volume in RHR has increased significantly over the past two decades, primarily driven by publications in Surgical Endoscopy, Hernia, and the Journal of Robotic Surgery. The USA, Japan, and Germany were the most cited countries, while Tufts University, University of Southern Denmark, and Odense University Hospital were the most productive affiliations. Omar Yusef Kudsi, Fahri Gokcal, and Naseem Bou-Ayash were the most prolific authors. Furthermore, the RIVAL randomized controlled trial by Prabhu et al. (JAMA Surg, 155 (5) 380-387. https://doi.org/10.1001/jamasurg.2020.0034 ) was the most cited manuscript. Keyword analysis demonstrates a clinical evolution from initial procedural feasibility and learning curves toward complex abdominal wall reconstructions, notably including the enhanced-view totally extraperitoneal and the transversus abdominis release. To fully harness the benefits of RHR, future efforts must extend beyond technological innovation to prioritize widespread clinical adoption and establish strong inter-institutional networks.

Indexed as

BibliometricsHerniorrhaphyRobotic Surgical ProceduresHumansLaparoscopyBibliometric analysisHotspotsRobotic hernia repairTrends

Identifiers

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.