ReviewJournal of robotic surgery2025
Global research trends in robot-assisted spinal surgery: a visualized bibliometric analysis.
Review in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- The global landscape of robot-assisted pedicle screws: a bibliometric and thematic evolution analysis.Journal of robotic surgery · 2026Review
- Top 100 most-cited systematic reviews on robotic-assisted orthopaedic surgery: trends, hotspots, and key contributors.Journal of robotic surgery · 2026Article
- A decade of progress in orthopaedic telesurgery from concept to clinical feasibility: an evidence based review of robotics, latency science, digital ecosystems, and future remote surgical practice.Journal of robotic surgery · 2026Review
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
objectivesThis study aims to systematically analyze the global research trends, knowledge structure, core hotspots, and evolutionary path in the field of robotic-assisted spinal surgery (RASS) using bibliometric methods. It aims to address the gap in existing literature, which lacks a systematic integration of global research dynamics and core themes, and provide data-driven decision support for clinical practice and research layout. MATERIALS AND
methodsA total of 399 valid articles published between 1997 and 2025 were retrieved and screened from the Web of Science Core Collection. Tools including CiteSpace, VOSviewer, and Excel were employed for quantitative and visual analysis of key indicators, including annual publication count, citation frequency, h-index, and betweenness centrality. Additionally, co-occurrence, clustering, timeline, and burst detection analyses were performed on countries, institutions, authors, journals, keywords, and co-cited articles.
resultsThe first article in the RASS field was published in 1997. Before 2017, the annual publication volume remained in single digits, indicating an embryonic stage. After 2017, the field entered a rapid development phase, with an average of 38.7 articles published annually and a peak of 53 articles in 2022. The United States (n = 163, centrality = 1.02) and China (n = 126) were the leading contributors, whereas Germany demonstrated the highest average citation rate per article. Beijing Jishuitan Hospital was the most productive institution (n = 20). Tian Wei was the most prolific author (n = 20), and Theodore N had the highest h-index. World Neurosurgery published the most relevant articles (n = 36), while Spine received the highest number of citations. Core keywords included "accuracy" (19%), "navigation" (11%), and "pedicle screw placement" (10%). Burst detection of keywords such as "robotic-assisted spinal surgery" and "feasibility" highlights current research frontiers. The most cited article was published by DeVito DP in Spine in 2010.
conclusionsThis analysis demonstrates that the RASS field is evolving rapidly, with research leadership concentrated in the United States and China and a primary focus on improving the precision of pedicle screw placement. The identified trends underscore the need for future work to prioritize the deep integration of artificial intelligence into surgical workflows, the development of radiation-free navigation, and comprehensive evaluations of clinical feasibility and cost-effectiveness. These findings provide data-driven guidance for shaping clinical practice and strategic research planning.
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What 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.