Evidence map›Paper›PMID 30075540›Full record

ArticleMedicine2018

A retrospective study of transcutaneous vagus nerve stimulation for poststroke epilepsy.

Guang-Fu Song, Hao-Yan Wang, Cheng-Ji Wu, Xin Li, Fu-Yi Yang

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
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

5 authors at 1 institution in 1 country.

Guang-Fu SongDepartment of Neurosurgery, First Affiliated Hospital of Jiamusi University, Jiamusi, China.
Hao-Yan Wang
Cheng-Ji Wu
Xin Li
Fu-Yi Yang
Jiamusi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study assessed the effect transcutaneous vagus nerve stimulation (TVNS) for poststroke epilepsy (PSE).

methodsFifty-two patients with PSE were included in this study. Twenty-seven patients received TVNS, 30 minutes each session, once daily, twice weekly for a total of 4 weeks; and were assigned to the treatment group. Twenty-five patients were at waiting list and were assigned to the control group. The primary outcome included weekly seizure frequency. The secondary outcomes consisted of each seizure episode, and quality of life, measured by the Quality of Life in Epilepsy Inventory-31 (QOLIE-31), as well as the adverse events. All outcomes were measured before and after 4-week treatment.

resultsAfter treatment, TVNS failed to show better outcomes in weekly seizure frequency (treatment group, P = .12; control group, P = .56), seizure episode (treatment group, P = .65; control group, P = .92), and QOLIE-31 (treatment group, P = .73; control group, P = .84) compared with these before the treatment. Furthermore, TVNS also did not elaborate the promising effect in seizure frequency (P = .81), seizure episode (P = .75), and QOLIE-31 (P = .33), compared with these in the control group. In addition, minor and acceptable adverse events were recorded in this study.

conclusionThe results of this study showed that TVNS may be not effective for Chinese patients PSE after 4-week treatment.

Indexed as

AdultAgedEpilepsyFemaleHumansMaleMiddle AgedQuality of LifeRetrospective StudiesStrokeTranscutaneous Electric Nerve StimulationTreatment OutcomeVagus Nerve StimulationYoung Adult

Identifiers

PMID30075540
PMCPMC6081051
OpenAlexW2885647848

What OpenQuestion holds

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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.