Evidence map›Paper›PMID 35018364›Full record

ArticleNeurotrauma reports2021

A Routine Electroencephalography Monitoring System for Automated Sports-Related Concussion Detection.

Amirsalar Mansouri, Patrick Ledwidge, Khalid Sayood, Dennis L Molfese

RetractedAbstract readRetracted Publication
In one paragraph

Article in Neurotrauma reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

  • Retraction · 2022-04-28Breach of Policy by Author · Concerns/Issues about Data · Investigation by Company/Institution ·
  • Retracted
    2022
5 · Who and what money

Authors and funding

4 authors.

Amirsalar MansouriDepartment of Electrical and Computer Engineer, Baldwin Wallace University, Berea, Ohio, USA.
Patrick LedwidgeDepartment of Psychology, Baldwin Wallace University, Berea, Ohio, USA.
Khalid SayoodDepartment of Electrical and Computer Engineer, Baldwin Wallace University, Berea, Ohio, USA.
Dennis L MolfeseCenter for Brain, Biology, and Behavior, University of Nebraska-Lincoln, Lincoln, Nebraska, USA Baldwin Wallace University, Berea, Ohio, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cases of concussions in the United States keep increasing and are now up to 2 million to 3 million incidents per year. Although concussions are recoverable and usually not life-threatening, the degree and rate of recovery may vary depending on age, severity of the injury, and past concussion history. A subsequent concussion before full recovery may lead to more-severe brain damage and poorer outcomes. Electroencephalography (EEG) recordings can identify brain dysfunctionality and abnormalities, such as after a concussion. Routine EEG monitoring can be a convenient method for reducing unreported injuries and preventing long-term damage, especially among groups with a greater risk of experiencing a concussion, such as athletes participating in contact sports. Because of the relative availability of EEG compared to other brain-imaging techniques (e.g., functional magnetic resonance imaging), the use of EEG monitoring is growing for various neurological disorders. In this longitudinal study, EEG was analyzed from 4 football athletes before their athletic season and also within 7 days of concussion. Compared to a control group of 4 additional athletes, a concussion was detected with up to 99.5% accuracy using EEG recordings in the

Indexed as

EEGEEG monitoringelectrode networksnon-patient-specificsports-related concussionSVM

Identifiers

PMID35018364
PMCPMC8742301

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.