Evidence map›Paper›PMID 41468913›Full record

ArticleJournal of Korean medical science2025

Clinical Outcomes of Robot-Assisted "Asleep" Deep Brain Stimulation With Microelectrode Recording in Parkinson's Disease.

Kyung Won Chang, Jinyoung Youn, Ji Seon Jeong, Inje Jo, Yeajung Choi, Jin Whan Cho, Jung-Il Lee

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kyung Won ChangDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8697-1195
Jinyoung YounDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-3350-5032
Ji Seon JeongDepartment of Anesthesiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5396-1030
Inje JoDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0008-4801-2859
Yeajung ChoiDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0004-6304-9749
Jin Whan ChoDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9145-6729
Jung-Il LeeDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. jilee@skku.edu.ORCID https://orcid.org/0000-0001-8143-5513

Funding

Koh Young Technology S-2023-2026-000-01
6 · The paper itself

Abstract

backgroundDeep brain stimulation (DBS) is a well-established treatment for movement disorders, particularly Parkinson's disease (PD), where precise electrode placement is critical for optimal outcomes. With advances in robotic systems and imaging technologies, robot-assisted asleep DBS combined with microelectrode recording (MER) has emerged as a promising technique. This study aimed to evaluate the surgical accuracy and clinical outcomes of robot-assisted asleep DBS with MER in PD patients.

methodsWe conducted a retrospective review of PD patients who underwent either robot-assisted asleep DBS or conventional manual frame-based DBS at a single center between August 2021 and August 2024. Targeting accuracy was assessed using radial error measured on intraoperative computed tomography. Clinical outcomes were evaluated using the Unified Parkinson's Disease Rating Scale (UPDRS), levodopa equivalent daily dose (LEDD), and the Parkinson's Disease Questionnaire-39 (PDQ-39) at baseline, 6 months, and 1 year postoperatively.

resultsA total of 51 patients underwent robot-assisted asleep DBS. This group demonstrated significantly higher targeting accuracy than the manual frame-based group (

conclusionRobot-assisted asleep DBS significantly improves targeting accuracy while maintaining comparable clinical outcomes to manual frame-based DBS. Asleep DBS with MER is a safe and effective approach, enhancing patient comfort without compromising efficacy. These findings support the broader adoption of robotic techniques in DBS for PD.

Indexed as

Deep Brain StimulationParkinson DiseaseRobotic Surgical ProceduresAgedFemaleHumansLevodopaMaleMicroelectrodesMiddle AgedRetrospective StudiesTreatment OutcomeLevodopaAsleep Deep Brain StimulationManual Frame-based Deep Brain StimulationParkinson's DiseaseRobot-Assisted Deep Brain Stimulation

Identifiers

PMID41468913
PMCPMC12748056

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Registered trials

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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.