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- Title
Efficacy and safety of robot-assisted deep brain stimulation for Parkinson's disease: a meta-analysis.
- Authors
Zhilong Huang; Lian Meng; Xiongjie Bi; Zhengde Xie; Weiming Liang; Jinyu Huang
- 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.
- Subjects
SURGICAL robots; MEDICAL information storage &; retrieval systems; PATIENT safety; PARKINSON'S disease; DEEP brain stimulation; TREATMENT effectiveness; META-analysis; DESCRIPTIVE statistics; SYSTEMATIC reviews; MEDLINE; MEDICAL databases; ONLINE information services; CONFIDENCE intervals; DATA analysis software; DOPA; SENSITIVITY &; specificity (Statistics)
- Publication
Frontiers in Aging Neuroscience, 2024, p1
- ISSN
1663-4365
- Publication type
Article
- DOI
10.3389/fnagi.2024.1419152