ReviewJournal of robotic surgery2026
Global research trends in robot-assisted vitreoretinal surgery: a visualized bibliometric analysis.
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.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Robot-assisted vitreoretinal surgery is a precision-oriented approach for technically demanding retinal procedures, but its structure and clinical maturity remain incompletely defined. We mapped the global development of this field using bibliometric and visualization methods. Records indexed in the Science Citation Index Expanded of the Web of Science Core Collection were retrieved on May 1, 2026. Bibliometrix in R, CiteSpace, and SCImago Graphica were used to analyze publication output, collaboration networks, citation patterns, journal distribution, and keyword evolution. The final dataset comprised 129 records published from 2008 to May 2026, including 110 original articles and 19 reviews. Full-text review identified 98 original articles with substantive empirical evaluations: 53 technical/simulation studies, 35 preclinical studies, and 10 human clinical studies. Publication output remained low before 2017 but increased thereafter. The United States and China contributed the largest numbers of publications, Johns Hopkins University was the most productive institution, and several authors showed similarly high outputs. Journal and reference analyses revealed an interdisciplinary clinical-engineering knowledge base spanning ophthalmology, medical robotics, imaging, motion control, and computer-assisted intervention. Keyword analyses showed increasing attention to subretinal injection, optical coherence tomography-guided intervention, artificial intelligence, and computer vision. The predominance of technical/simulation and preclinical evaluations suggests that publication growth has outpaced the accumulation of human clinical evidence. Robot-assisted vitreoretinal surgery is therefore better positioned as a selective precision platform for high-demand retinal interventions than as a universal replacement for manual surgery. Future research should prioritize multicenter validation, clinically relevant outcomes, workflow integration, training, and cost-effectiveness.
Indexed as
Identifiers
42557423What 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.