Evidence map›Paper›PMID 29488165›Full record

ArticleSports medicine (Auckland, N.Z.)2018

Quantifying the Value of Multidimensional Assessment Models for Acute Concussion: An Analysis of Data from the NCAA-DoD Care Consortium.

Gian-Gabriel P Garcia, Steven P Broglio, Mariel S Lavieri, Michael McCrea, Thomas McAllister, CARE Consortium Investigators

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In one paragraph

Article in Sports medicine (Auckland, N.Z.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Gian-Gabriel P GarciaDepartment of Industrial and Operations Engineering, University of Michigan, 1205 Beal Ave, Ann Arbor, MI, 48109, USA. garciagg@umich.edu.
Steven P BroglioSchool of Kinesiology, University of Michigan, Ann Arbor, MI, USA.
Mariel S LavieriDepartment of Industrial and Operations Engineering, University of Michigan, 1205 Beal Ave, Ann Arbor, MI, 48109, USA.
Michael McCreaDepartments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
Thomas McAllisterDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA.
CARE Consortium Investigators

Funding

NCAA and DoD W81XWH-14-2-0151
6 · The paper itself

Abstract

backgroundMany concussion assessment methods exist, but few studies quantify the performance of these methods to determine which can best assess acute concussion alone or in combination.

objectivesThe objectives of this study were to evaluate: (1) selected concussion assessments for acute concussion assessment; (2) the utility of change scores for acute concussion assessment; and (3) concussion assessment capabilities when constrained to limited clinical data or objective clinical measures.

methodsThe 'acute concussion' group contained assessments from < 6 h post-injury (n = 560) and 24-48 h post-injury (n = 733). The 'normal performance' group contained assessments from baseline testing (n = 842) and unrestricted return to play (n = 707) timepoints. Univariate and multivariate logistic regression models were created separately for < 6- and 24- to 48-h timepoints. Models were evaluated on sensitivity, specificity, and area under the receiver operating characteristic curve.

resultsWithin the univariate analysis, Sport Concussion Assessment Tool symptom assessments had the highest combination of sensitivity, specificity, and area under the receiver operating characteristic curve, with values up to 0.93, 0.97, and 0.98, respectively. Full models had a sensitivity, specificity, and area under the receiver operating characteristic curve up to 0.94, 0.97, and 0.99, respectively, and outperformed all univariate models, raw score models, and objective models. Objective models were outperformed by all multivariate models and the univariate models containing only Sport Concussion Assessment Tool symptom assessments.

conclusionResults support the use of multidimensional assessment batteries over single instruments and suggest the importance of self-reported symptoms in acute concussion assessment. Balance assessments, however, may not provide additional benefit when symptom and neurocognitive assessments are available. Additionally, change scores provide some clinical utility over raw scores, but the difference may not be clinically meaningful.

Indexed as

Brain ConcussionNeuropsychological TestsAthletesFemaleHumansMalePredictive Value of Tests

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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.