Evidence map›Paper›PMID 35884713›Full record

ArticleBrain sciences2022

Techniques of Frameless Robot-Assisted Deep Brain Stimulation and Accuracy Compared with the Frame-Based Technique.

Shanshan Mei, Kaijia Yu, Zhiwei Ren, Yongsheng Hu, Song Guo, Yongjie Li, Jianyu Li

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PubMed Full text at PMC Publisher
In one paragraph

Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 4 pooled it
–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

12 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Article
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  10. Long-term safety and efficacy of frameless subthalamic deep brain stimulation in Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
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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.

Shanshan MeiDepartment of Neurology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China.
Kaijia YuBeijing Institute of Functional Neurosurgery, Xuanwu Hospital of Capital Medical University, Beijing 100053, China.
Zhiwei RenBeijing Institute of Functional Neurosurgery, Xuanwu Hospital of Capital Medical University, Beijing 100053, China.
Yongsheng HuBeijing Institute of Functional Neurosurgery, Xuanwu Hospital of Capital Medical University, Beijing 100053, China.
Song GuoBeijing Institute of Functional Neurosurgery, Xuanwu Hospital of Capital Medical University, Beijing 100053, China.
Yongjie LiBeijing Institute of Functional Neurosurgery, Xuanwu Hospital of Capital Medical University, Beijing 100053, China.
Jianyu LiBeijing Institute of Functional Neurosurgery, Xuanwu Hospital of Capital Medical University, Beijing 100053, China.

Funding

The Beijing Municipal Science & Technology Commission No. Z181100001718056The National Key R&D Program of China No. 2020YFC2007304
6 · The paper itself

Abstract

backgroundFrameless robot-assisted deep brain stimulation (DBS) is an innovative technique for leads implantation. This study aimed to evaluate the accuracy and precision of this technique using the Sinovation SR1 robot.

methods35 patients with Parkinson's disease who accepted conventional frame-based DBS surgery (

resultsThe vector error was 1.52 ± 0.53 mm (range: 0.20-2.39 mm) in the robot-assisted group and was 1.77 ± 0.67 mm (0.59-2.98 mm) in the frame-based group with no significant difference between two groups (

conclusionsAwake frameless robot-assisted DBS surgery was comparable to the conventional frame-based technique in the accuracy and precision for leads implantation.

Indexed as

accuracydeep brain stimulationframeframeless robot-assisted surgeryParkinson’s disease

Identifiers

PMID35884713
PMCPMC9313029

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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.