ArticleJournal of robotic surgery2026
Global research trends and hotspots in robot-assisted spinal surgery for spinal deformity: a bibliometric analysis.
Article 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
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Authors and funding
8 authors.
Funding
Abstract
This bibliometric study maps the global landscape and evolutionary trajectories of robot-assisted spinal surgery in spinal deformity by analyzing 121 works (75.2% original research) retrieved from the Web of Science Core Collection (2004-2025). Utilizing Bibliometrix, CiteSpace, VOSviewer, SCImago Graphica, and Gephi, the analysis identifies the United States (58 articles, 1,513 citations) and China (36 articles, 651 citations) as the dominant contributors, with high-output institutions such as the University of California San Diego, Harvard Medical School, and Columbia University leading the global landscape. Leading authors Lieberman IH and Pham MH (7 papers each) and key journals like European Spine Journal and Spine constitute the core academic network. Thematic evolution reveals that while early research focused on pedicle screw accuracy and the validation of pelvic fixation and minimally invasive approaches, the "accuracy-correction paradox" is now driving the field toward AI-integrated intelligent decision-making. Currently, economic feasibility and clinical management have emerged as pivotal dimensions for the real-world implementation of robot-assisted spinal surgery, emphasizing the transition from technical validation to value-based medical resource allocation.
Indexed as
Identifiers
42606750What 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.