SynthesisFrontiers in aging neuroscience2024
Efficacy and safety of robot-assisted deep brain stimulation for Parkinson's disease: a meta-analysis.
Synthesis in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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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.
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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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review and meta-analysis of robot-assisted deep brain stimulation: comparative insights with conventional techniques.Neurosurgical review · 2025Pooled it
- Perioperative adverse events and device malfunctions associated with ROSA cranial stereotactic robotic surgery a descriptive analysis of FDA MAUDE reports from 2016 to 2026.Journal of robotic surgery · 2026Article
- Robot-Assisted Deep Brain Stimulation for Parkinson's Disease : Accuracy, Workflow, Clinical Outcomes, and Safety.Journal of Korean Neurosurgical Society · 2026Article
- Accuracy and Outcomes of KYMERO Robot-Guided Deep Brain Stimulation for Dystonia : Retrospective Cohort Analysis.Journal of Korean Neurosurgical Society · 2026Article
- How I do it: Image-based robot-assisted deep brain stimulation under general anesthesia.Acta neurochirurgica · 2026Article
- Efficacy and safety of robot-assisted vs. stereotactic framework deep brain stimulation for Parkinson's disease: a retrospective study.Frontiers in aging neuroscience · 2026Article
- From lobotomy to connectomics: a critical review of contemporary psychosurgery.Frontiers in psychiatry · 2026Review
- The Next Frontier in Parkinson's Disease Treatment: A Narrative Review of Innovative Neurosurgical and Gene Therapy Approaches.Health science reports · 2025Article
- The impact of deep brain stimulation payment adjustments on healthcare utilization in Shanghai, China: a regression discontinuity analysis of health insurance claims.BMC health services research · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This meta-analysis aims to assess the effectiveness and safety of robot-assisted deep brain stimulation (DBS) surgery for Parkinson's disease(PD). Methods: Four databases (Medline, Embase, Web of Science and CENTRAL) were searched from establishment of database to 23 March 2024, for articles studying robot-assisted DBS in patients diagnosed with PD. Meta-analyses of vector error, complication rate, levodopa-equivalent daily dose (LEDD), Unified Parkinson's Disease Rating Scale (UPDRS), UPDRS II, UPDRS III, and UPDRS IV were performed. Results: A total of 15 studies were included in this meta-analysis, comprising 732 patients with PD who received robot-assisted DBS. The pooled results revealed that the vector error was measured at 1.09 mm (95% CI: 0.87 to 1.30) in patients with Parkinson's disease who received robot-assisted DBS. The complication rate was 0.12 (95% CI, 0.03 to 0.24). The reduction in LEDD was 422.31 mg (95% CI: 68.69 to 775.94). The improvement in UPDRS, UPDRS III, and UPDRS IV was 27.36 (95% CI: 8.57 to 46.15), 14.09 (95% CI: 4.67 to 23.52), and 3.54 (95% CI: -2.35 to 9.43), respectively. Conclusion: Robot-assisted DBS is a reliable and safe approach for treating PD. Robot-assisted DBS provides enhanced accuracy in contrast to conventional frame-based stereotactic techniques. Nevertheless, further investigation is necessary to validate the advantages of robot-assisted DBS in terms of enhancing motor function and decreasing the need for antiparkinsonian medications, in comparison to traditional frame-based stereotactic techniques.
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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.