ArticleJournal of robotic surgery2026
Robot-assisted surgery for degenerative lumbar spine diseases: a disease-specific bibliometric and knowledge-mapping 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
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Robot-assisted spine surgery has expanded from navigation-guided pedicle screw placement to broader minimally invasive and intelligent surgical workflows, but its evolution in degenerative lumbar spine diseases remains incompletely characterized. We aimed to characterize the global research landscape, intellectual structure, thematic evolution, and emerging trends in robot-assisted surgery for degenerative lumbar spine diseases. Records published from 1996 through August 6, 2026, were retrieved from the Web of Science Core Collection. After eligibility screening, 222 English-language articles and reviews were included. Bibliometric analyses using Microsoft Excel, Origin, Tableau, and CiteSpace assessed publication trends, collaboration networks, co-citation patterns, keyword clusters, temporal evolution, and citation bursts. Publication output increased substantially after 2020. China produced the largest number of publications, whereas the United States had the most prominent bridging role in the international collaboration network. Four interrelated thematic domains were identified: target pathologies, reconstructive procedures, minimally invasive surgical strategies, and robotic or intelligent enabling technologies. Research emphasis shifted from navigation and pedicle screw accuracy toward minimally invasive fusion, radiation exposure, learning curves, safety, and clinical outcomes, with more recent attention to endoscopic spine surgery, artificial intelligence, and augmented reality. Overall, research on robot-assisted surgery for degenerative lumbar spine diseases has shifted from a predominant focus on navigation and pedicle screw accuracy toward broader investigation of minimally invasive surgical workflows and emerging intelligent technologies. These bibliometric trends reflect changes in research emphasis rather than evidence of clinical superiority, and further studies are needed to determine whether these technological developments translate into durable, patient-centered, and cost-effective clinical benefits.
Indexed as
Identifiers
42690540What 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.