Evidence map›Paper›PMID 37296479›Full record

ArticleTrials2023

Protocol of a prospective multicenter randomized controlled trial of robot-assisted stereotactic lesioning in the treatment of focal drug-resistant epilepsy.

Mingkun Gong, Ke Xu, Yongzhi Shan, Yihe Wang, Chao Zhang, Xiongfei Wang, Jian Zhou, Yuguang Guan, Tianfu Li, Guoming Luan

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 46% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 1 country.

Mingkun GongDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Haidian District, No. 50, Yikesong Road, Beijing, 100093, China.
Ke XuDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Haidian District, No. 50, Yikesong Road, Beijing, 100093, China.
Yongzhi ShanDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China.
Yihe WangDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China.
Chao ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring West Road, Fengtai District, Beijing, 10007, China.
Xiongfei WangDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Haidian District, No. 50, Yikesong Road, Beijing, 100093, China.
Jian ZhouDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Haidian District, No. 50, Yikesong Road, Beijing, 100093, China.
Yuguang GuanDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Haidian District, No. 50, Yikesong Road, Beijing, 100093, China.
Tianfu LiDepartment of Neurology, Sanbo Brain Hospital, Capital Medical University, Haidian District, No. 50, Yikesong Road, Beijing, 100093, China.
Guoming LuanDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Haidian District, No. 50, Yikesong Road, Beijing, 100093, China. luangm@ccmu.edu.cn.
Beijing Sanbo Brain Hospital · CNCapital Medical University · CN

Funding

Capital Foundation of Medical Development 2022-1-8011
6 · The paper itself

Abstract

backgroundThis protocol describes the design of a multicenter randomized controlled trial of robot-assisted stereotactic lesioning versus epileptogenic foci resection. Typical causes of focal epilepsy include hippocampal sclerosis and focal cortical dysplasia. These patients usually present with drug resistance and require surgical treatment. Although epileptogenic foci resection is still the most commonly used treatment for such focal epilepsy, there is increasing evidence that epileptogenic focus resection may lead to neurological impairment. The treatment of epilepsy with a robot-assisted stereotactic lesioning mainly includes two new minimally invasive surgical methods: radiofrequency thermocoagulation (RF-TC) and laser interstitial thermal therapy (LITT). Seizure-free is less likely to be achieved by these two procedures, but neurologic preservation is better. In this study, we aimed to compare the safety and efficacy of RF-TC, LITT, and epileptogenic foci resection for focal drug-resistant epilepsy.

methodsThis is a multicenter, three-arm, randomized controlled clinical trial. The study will include patients older than 3 years of age with epilepsy who have had medically refractory seizures for at least 2 years and are eligible for surgical treatment with an epileptogenic focus as determined by multidisciplinary evaluation prior to randomization. The primary outcome measure is seizure outcome (quantified by seizure remission rate) at 3-month, 6-month, and 1-year follow-up after treatment. Postoperative neurologic impairment, spectrum distribution change of video electroencephalogram, quality of life, and medical costs will also be assessed as secondary outcomes.

trial registrationChinese Clinical Trials Registry ChiCTR2200060974. Registered on June 14, 2022. The status of the trial is recruiting, and the estimated study completion date is December 31, 2024.

Indexed as

Drug Resistant EpilepsyEpilepsies, PartialEpilepsyRoboticsChild, PreschoolHumansMulticenter Studies as TopicProspective StudiesQuality of LifeRandomized Controlled Trials as TopicTreatment OutcomeDrug-resistant epilepsyRandomized controlled trialRobot-assisted stereotactic lesioning

Identifiers

PMID37296479
PMCPMC10251578
OpenAlexW4380027816

What OpenQuestion holds

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LicenceCC BY
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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.