Evidence map›Paper›PMID 41015968›Full record

ArticleJournal of robotic surgery2025

Global research landscape of robotic surgery in gynecologic oncology: a bibliometric analysis (2005-2025).

Xinshu Li, Min Li, Huijie Cui, Xinyue Du, Bowei Li, Chunfang Ha

Abstract read
In one paragraph

Article 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 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Review
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.

Xinshu LiNingxia Medical University, Yinchuan, 750004, Ningxia, China.
Min LiNingxia Medical University, Yinchuan, 750004, Ningxia, China.
Huijie CuiNingxia Medical University, Yinchuan, 750004, Ningxia, China.
Xinyue DuNingxia Medical University, Yinchuan, 750004, Ningxia, China.
Bowei LiNingxia Medical University, Yinchuan, 750004, Ningxia, China.
Chunfang HaDepartment of Gynecology, General Hospital of Ningxia Medical University, Yinchuan, 750004, Ningxia, China. hachunfang@163.com.

Funding

Provincial key research and development program 2023BEG01001
6 · The paper itself

Abstract

Robotic surgery has transformed gynecologic oncology by enhancing surgical precision and reducing complications, particularly for endometrial, cervical, and ovarian cancers. This study employs bibliometric analysis to systematically evaluate the scientific trajectory, research trends, and international collaboration in robotic surgery for gynecologic malignancies over nearly two decades (2005-2025). Using the Web of Science database, a total of 561 publications were identified and analyzed with Citespace, VOSviewer, and R-bibliometrix. The United States emerged as the most productive nation, with the Università Cattolica del Sacro Cuore (Italy) as the leading institution. The Journal of Gynecologic Oncology published the highest volume of research, and Giovanni Scambia was the most prolific author. Key research themes included endometrial cancer, robotic surgery, laparoscopy, lymphadenectomy, radical hysterectomy, cervical cancer, recurrence, and survival outcomes. Future progress depends on multicenter randomized-controlled trials (RCTs), global partnerships, and AI integration to advance therapeutic potential and promote equitable global access.

Indexed as

BibliometricsBiomedical ResearchGenital Neoplasms, FemaleGynecologic Surgical ProceduresRobotic Surgical ProceduresFemaleHumansLaparoscopyBibliometricsCitespaceGynecologic oncologyRobotic-assisted surgeryVOSviewer

Identifiers

PMID41015968
PMCPMC12477092

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.