Evidence map›Paper›PMID 34223554›Full record

ArticleNeurotrauma reports2021

A Novel Neuropsychological Tool for Immersive Assessment of Concussion and Correlation with Subclinical Head Impacts.

Tamara R Espinoza, Kristopher A Hendershot, Brian Liu, Andrea Knezevic, Breanne B Jacobs, Russell K Gore, Kevin M Guskiewicz, Jeffery J Bazarian, Shean E Phelps, David W Wright and 1 more

Open access · goldAbstract read
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. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. 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

11 authors at 3 institutions in 1 country.

Tamara R EspinozaDepartment of Emergency Medicine, Division of Emergency Neurosciences, Emory University School of Medicine, Atlanta, Georgia, USA.
Kristopher A HendershotDepartment of Emergency Medicine, Division of Emergency Neurosciences, Emory University School of Medicine, Atlanta, Georgia, USA.
Brian LiuGeorgia Tech Research Institute (GTRI), Advanced Human Integration Branch, Atlanta, Georgia, USA.
Andrea KnezevicDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Breanne B JacobsDepartment of Emergency Medicine, Division of Emergency Neurosciences, Emory University School of Medicine, Atlanta, Georgia, USA.
Russell K GoreComplex Concussion Clinic, Shepherd Center, Atlanta, Georgia, USA.
Kevin M GuskiewiczDepartment of Exercise and Sport Science, University of North Carolina, North Carolina, USA.
Jeffery J BazarianDepartment of Emergency Medicine, University of Rochester, Rochester, New York, USA.
Shean E PhelpsGeorgia Tech Research Institute (GTRI), Advanced Human Integration Branch, Atlanta, Georgia, USA.
David W WrightDepartment of Emergency Medicine, Division of Emergency Neurosciences, Emory University School of Medicine, Atlanta, Georgia, USA.
Michelle C LaPlacaDepartment of Biomedical Engineering, Georgia Institute of Technology/Emory University, Atlanta, Georgia, USA.
Emory University · USShepherd Center · USUniversity of Rochester · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mild traumatic brain injury (mTBI) remains a diagnostic challenge and therefore strategies for objective assessment of neurological function are key to limiting long-term sequelae. Current assessment methods are not optimal in austere environments such as athletic fields; therefore, we developed an immersive tool, the Display Enhanced Testing for Cognitive Impairment and mTBI (DETECT) platform, for rapid objective neuropsychological (NP) testing. The objectives of this study were to assess the ability of DETECT to accurately identify neurocognitive deficits associated with concussion and evaluate the relationship between neurocognitive measures and subconcussive head impacts. DETECT was used over a single season of two high school and two college football teams. Study participants were instrumented with Riddell Head Impact Telemetry (HIT) sensors and a subset tested with DETECT immediately after confirmed impacts for different combinations of linear and rotational acceleration. A total of 123 athletes were enrolled and completed baseline testing. Twenty-one players were pulled from play for suspected concussion and tested with DETECT. DETECT was 86.7% sensitive (95% confidence interval [CI]: 59.5%, 98.3%) and 66.7% specific (95% CI: 22.3%, 95.7%) in correctly identifying athletes with concussions (15 of 21). Weak but significant correlations were found between complex choice response time (processing speed and divided attention) and both linear (Spearman rank correlation coefficient 0.262,

Indexed as

concussionhelmet impact sensormild traumatic brain injuryneuropsychological testsubconcussive impact

Identifiers

PMID34223554
PMCPMC8240822
OpenAlexW3170234116

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.