ReviewJournal of robotic surgery2025
Bibliometric analysis of global research dynamics in robot-assisted hysterectomy over the past 20 years.
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 1 paper, 1 of them a synthesis that pooled 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.
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.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Suggestions and insights from 28 bibliometric studies in the Journal of Robotic Surgery.Journal of robotic surgery · 2025Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Compared to open or conventional laparoscopic operations, surgical robots can improve surgical control and precision, which might improve patient outcomes. Nevertheless, a thorough quantitative investigation of their precise influence on hysterectomy has not yet been carried out. The objective of this research is to assess the body of literature on robot-assisted hysterectomy from 2005 to 2025, identifying key trends and research hotspots to guide future research directions. Using information from the Web of Science database, the research performed a bibliometric analysis of publications pertaining to robot-assisted hysterectomy that were published between 2005 and 2025. Keyword clustering and study subjects were analyzed using R software and VOS viewer, exposing patterns and new areas in the area. Two hundred and seventy-five researches on robotic-assisted hysterectomy were encompassed in the investigation. Research in the area has demonstrated a global growing trend in recent years. The number of articles rose rapidly between 2009 and 2015 after being very low between 2005 and 2008. The quantity of publications has varied somewhat between 2016 and 2024, although it has mostly stayed at a high level. The US is the leading country in publications, followed by China, Japan, South Korea, as well as Italy. The United States has a larger network of foreign partners and leads in publishing. The two most published and referenced journals are Gynecologic Oncology and the Journal of Robotic Surgery. The clinical use of robotically assisted hysterectomy is the primary focus of current research hotspots. The economic analysis of robotic surgery is also an important research direction, and the transformation of robotic-assisted hysterectomy into a day surgery model is gradually becoming a significant research area. Surgical robots are a valuable tool for hysterectomy because of their benefits in minimizing blood loss, lowering hospital stays, and speeding up recovery. The study offers useful references for upcoming clinical practice and research by methodically examining the state of robot-assisted hysterectomy as well as research hotspots.
Indexed as
Identifiers
40963004What OpenQuestion holds
Registered trials
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.