Evidence map›Paper›PMID 28686616›Full record

ArticlePloS one2017

Diagnostic accuracy of tablet-based software for the detection of concussion.

Suosuo Yang, Benjamin Flores, Rotem Magal, Kyrsti Harris, Jonathan Gross, Amy Ewbank, Sasha Davenport, Pablo Ormachea, Waleed Nasser, Weidong Le and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Validation of a Web-Based Digit Symbol Substitution Task for Detection of Mild Cognitive Impairment in Older Adults.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2026
    Article
  4. Article
  5. Cognitive Trajectories After Hospitalization for COVID-19: A 36-Month Longitudinal Study.The Journal of neuropsychiatry and clinical neurosciences · 2026
    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

13 authors at 3 institutions in 2 countries.

Suosuo YangDalian Medical University, Dalian, Liaoning Province, China.
Benjamin FloresBrainCheck, Inc, Houston, Texas, United States of America.
Rotem MagalBrainCheck, Inc, Houston, Texas, United States of America.
Kyrsti HarrisBrainCheck, Inc, Houston, Texas, United States of America.
Jonathan GrossBrainCheck, Inc, Houston, Texas, United States of America.
Amy EwbankBrainCheck, Inc, Houston, Texas, United States of America.
Sasha DavenportBrainCheck, Inc, Houston, Texas, United States of America.
Pablo OrmacheaBrainCheck, Inc, Houston, Texas, United States of America.
Waleed NasserBrainCheck, Inc, Houston, Texas, United States of America.
Weidong LeDalian Medical University, Dalian, Liaoning Province, China.
W Frank PeacockDepartment of Emergency Medicine, Baylor College of Medicine, Houston, Texas, United States of America.
Yael KatzBrainCheck, Inc, Houston, Texas, United States of America.
David M EaglemanBrainCheck, Inc, Houston, Texas, United States of America.ORCID http://orcid.org/0000-0002-3120-7974
Baylor College of Medicine · USDalian Medical University · CNStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the high prevalence of traumatic brain injuries (TBI), there are few rapid and straightforward tests to improve its assessment. To this end, we developed a tablet-based software battery ("BrainCheck") for concussion detection that is well suited to sports, emergency department, and clinical settings. This article is a study of the diagnostic accuracy of BrainCheck. We administered BrainCheck to 30 TBI patients and 30 pain-matched controls at a hospital Emergency Department (ED), and 538 healthy individuals at 10 control test sites. We compared the results of the tablet-based assessment against physician diagnoses derived from brain scans, clinical examination, and the SCAT3 test, a traditional measure of TBI. We found consistent distributions of normative data and high test-retest reliability. Based on these assessments, we defined a composite score that distinguishes TBI from non-TBI individuals with high sensitivity (83%) and specificity (87%). We conclude that our testing application provides a rapid, portable testing method for TBI.

Indexed as

SoftwareAdolescentAdultAgedAthletic InjuriesBrain ConcussionBrain Injuries, TraumaticEmergency Service, HospitalFemaleHumansMaleMiddle AgedNeuroimaging

Identifiers

PMID28686616
PMCPMC5501428
OpenAlexW2733673218

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.