ArticleJournal of robotic surgery2026
Global evolution of robot-assisted spine surgery: a bibliometric and knowledge-mapping study (1997-2026).
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. Cited by 1 paper.
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.
- Robot-assisted surgery for degenerative lumbar spine diseases: a disease-specific bibliometric and knowledge-mapping analysis.Journal of robotic surgery · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Robot-assisted spine surgery has emerged as a transformative approach to spinal instrumentation, yet the global knowledge structure, collaborative landscape, and thematic evolution of this field remain incompletely characterised. This study performed a comprehensive bibliometric and knowledge-mapping analysis of robot-assisted spine surgery research from 1997 to 2026. Publications were retrieved from the Web of Science Core Collection using a predefined search strategy, and bibliometric indicators, co-authorship networks, citation patterns, keyword co-occurrence, and thematic maps were analysed using VOSviewer and CiteSpace. A total of 589 publications were identified, spanning 175 source journals and comprising 13,950 cited references, with a compound annual growth rate of 18.79% over the complete publication years 1997–2025. Original research articles constituted the majority (n = 427, 72.5%), followed by reviews (n = 139, 23.6%), with a mean citation count of 21.73 per publication. Internationally co-authored papers accounted for 14.6% of the corpus, with the United States and China dominating both output volume and network centrality. Tian W was the most productive and influential contributor (21 publications; H-index 16; 1,004 citations). Core publication venues included Spine, Neurosurgery, and Journal of Neurosurgery: Spine. Keyword co-occurrence analysis identified accuracy, pedicle screw placement, navigation, and fluoroscopy as dominant themes, while citation burst detection revealed a temporal shift from technical validation toward implementation-oriented topics including risk management, feasibility, and clinical governance. These findings characterise robot-assisted spine surgery as a rapidly maturing discipline transitioning from procedural accuracy assurance to risk-stratified, implementation-focused inquiry. Future research should prioritise standardised outcome frameworks, multicentre comparative effectiveness studies, and risk-stratified implementation pathways to optimise patient benefit and guide durable clinical adoption.
Indexed as
Identifiers
41933104What 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.