Evidence map›Paper›PMID 41068514›Full record

ReviewJournal of robotic surgery2025

Global research trends of robotic-assisted surgery in Urogynecology and Reconstructive Pelvic Surgery: a bibliometric and visualization analysis based on web of science.

Jian Wang, Mingyuan Fan, Ziyang Qiang, Hailin Ren, Huiling Chen, Yupei Dai

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

6 authors.

Jian WangDepartment of Clinical Medicine, Qinghai University, Xining, 810000, Qinghai, China.
Mingyuan FanDepartment of Clinical Medicine, Qinghai University, Xining, 810000, Qinghai, China.
Ziyang QiangDepartment of Urology, Affiliated Hospital of Qinghai University, Xining, 810000, Qinghai, China.
Hailin RenDepartment of Urology, Affiliated Hospital of Qinghai University, Xining, 810000, Qinghai, China.
Huiling ChenNorth Sichuan Medical College, No. 234 Fu Jiang Road, Shunqing, Nanchong, 637000, Sichuan, People's Republic of China.
Yupei DaiDepartment of Clinical Medicine, Qinghai University, Xining, 810000, Qinghai, China. 1428421664@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic-assisted surgery in Urogynecology and Reconstructive Pelvic Surgery (URPS) has gained significant attention, yet there is a lack of comprehensive bibliometric and visual analysis in this area. This study aims to systematically map and visualize the global research landscape of robotic-assisted surgery in URPS. A literature search was conducted using the Web of Science Core Collection database, and selected publications were analyzed bibliometrically. The results were visualized using VOSviewer, CiteSpace, and the Bibliometrix package in R software. A total of 355 articles and reviews met the inclusion criteria. Research activity in this field is concentrated mainly in Europe, North America, and Asia, with the United States being the leading contributor, accounting for approximately 60% of publications. The Mayo Clinic is the top institution, and Professor Brian J. Linder is the most productive scholar. International Urogynecology Journal and Urogynecology are the most influential journals in this field. High-frequency keywords include "robotic surgery," "sacrocolpopexy," and "pelvic organ prolapse." The current research focus is on robotic-assisted sacrocolpopexy, with functional outcomes such as quality of life and sexual function likely to be core areas of future research. As an emerging subdiscipline, the academic recognition and research impact of URPS still need further enhancement. This study is the first systematic bibliometric analysis of robotic-assisted surgery in the URPS field, and the findings will help scholars comprehensively understand the development landscape and research hotspots, providing valuable insights for future clinical practice optimization and research direction choices.

Indexed as

BibliometricsBiomedical ResearchGynecologic Surgical ProceduresPelvic Organ ProlapsePlastic Surgery ProceduresRobotic Surgical ProceduresFemaleHumansBibliometric analysisBibliometricsRobotic-assisted surgeryUrogynecology and Reconstructive Pelvic Surgery

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.