Evidence map›Paper›PMID 29180620›Full record

ArticleScientific reports2017

Quantitative measurement of post-concussion syndrome Using Electrovestibulography.

Abdelbaset Suleiman, Brian Lithgow, Zeinab Dastgheib, Behzad Mansouri, Zahra Moussavi

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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  5. Review
  6. Article
  7. Article
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  9. Article
  10. Bipolar disorder in the balance.European archives of psychiatry and clinical neuroscience · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Abdelbaset SuleimanBiomedical Engineering Program, University of Manitoba, Winnipeg, MB, Canada.
Brian LithgowBiomedical Engineering Program, University of Manitoba, Winnipeg, MB, Canada.
Zeinab DastgheibBiomedical Engineering Program, University of Manitoba, Winnipeg, MB, Canada.
Behzad MansouriBiomedical Engineering Program, University of Manitoba, Winnipeg, MB, Canada.
Zahra MoussaviBiomedical Engineering Program, University of Manitoba, Winnipeg, MB, Canada. Zahra.Moussavi@umanitoba.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a noninvasive quantitative measure was used to identify short and long term post-concussion syndrome (PCS) both from each other and from healthy control populations. We used Electrovestibulography (EVestG) for detecting neurophysiological PCS consequent to a mild traumatic brain injury (mTBI) in both short-term (N = 8) and long-term (N = 30) (beyond the normal recovery period) symptomatic individuals. Peripheral, spontaneously evoked vestibuloacoustic signals incorporating - and modulated by - brainstem responses were recorded using EVestG, while individuals were stationary (no movement stimulus). Tested were 38 individuals with PCS in comparison to those of 33 age-and-gender-matched healthy controls. The extracted features were based on the shape of the averaged extracted field potentials (FPs) and their detected firing pattern. Linear discriminant analysis classification, incorporating a leave-one-out routine, resulted in (A) an unbiased 84% classification accuracy for separating healthy controls from a mix of long and short-term symptomatology PCS sufferers and (B) a 79% classification accuracy for separating between long and short-term symptomatology PCS sufferers. Comparatively, short-term symptomatology PCS was generally detected as more distal from controls. Based on the results, the EVestG recording shows promise as an assistive objective tool for detecting and monitoring individuals with PCS after normal recovery periods.

Indexed as

Action PotentialsAdultAlgorithmsArea Under CurveDiscriminant AnalysisEvoked Potentials, AuditoryFemaleHealthy VolunteersHumansMaleMiddle AgedPost-Concussion SyndromeSensitivity and SpecificityVestibule, Labyrinth

Identifiers

PMID29180620
PMCPMC5703984

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.