Evidence map›Paper›PMID 31429206›Full record

ReviewCNS neuroscience & therapeutics2019

Research progress of vagus nerve stimulation in the treatment of epilepsy.

Jing-Jing Fan, Wei Shan, Jian-Ping Wu, Qun Wang

Abstract readReview
In one paragraph

Review in CNS neuroscience & therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Trial
  2. Article
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  4. Review
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  11. [Neuromodulation: Past, Present, and Future].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2022
    Review
  12. Clinical perspectives on vagus nerve stimulation: present and future.Clinical science (London, England : 1979) · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

4 authors.

Jing-Jing FanDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Wei ShanDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jian-Ping WuDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Qun WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-5946-2918

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The International League Against Epilepsy (ILAE) defined drug-resistant epilepsy (DRE) that epilepsy seizure symptoms cannot be controlled with two well-tolerated and appropriately chosen antiepileptic drugs, whether they are given as monotherapy or in combination. According to the WHO reports, there is about 30%-40% of epilepsy patients belong to DRE. These patients need some treatments other than drugs, such as epilepsy surgery, and neuromodulation treatment. Traditional surgical approaches may be limited by the patient's clinical status, pathological tissue location, or overall prognosis. Thus, neuromodulation is an alternative choice to control their symptoms. Vagus nerve stimulation (VNS) is one of the neuromodulation methods clinically, which have been approved by the Food and Drug Administration (FDA). In this review, we systematically describe the clinical application, clinical effects, possible antiepileptic mechanisms, and future research directions of VNS for epilepsy.

Indexed as

Biomedical ResearchDrug Resistant EpilepsyHumansRandomized Controlled Trials as TopicTreatment OutcomeVagus Nerve Stimulationdrug-resistant epilepsyepilepsyneuromodulationvagus nerve stimulation

Identifiers

PMID31429206
PMCPMC6834923

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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.