ReviewJournal of robotic surgery2026
Global research trends in robotic applications in plastic surgery: a 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
Robotic-assisted surgery has risen exponentially across surgical sub-specialties, with increasing adoption within plastic surgery. Robotics can offer enhanced accuracy and dexterity for technically demanding procedures such as microsurgery. This study aims to characterize global research trends in robotic applications within plastic surgery through a bibliometric analysis. Robotic surgery studies in the plastic surgery literature were identified using PubMed and Web of Science using MeSH terms and keywords. Extracted variables included study type, sub-specialty, number of authors, country, journal and journal impact factor, institution type, and type of robot. Analysis was performed using Bibliometrix. A total of 492 studies met criteria for final analysis. The majority of studies (63%) focused on microsurgery. The number of publications has increased annually since 1997 (n = 1/yr) to 2025 (n = 94/yr) with an average annual growth over the past 5 years of 29% year over year. The most common articles types were technical articles (23%), literature reviews (20%), and cohort studies (16%). The Da Vinci
Indexed as
Identifiers
42581219What 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.