Evidence map›Paper›PMID 40041526›Full record

ArticleInternational journal of sports physical therapy2025

Post-Acute Concussion-Related Differences in Neuromotor Control Measured Using a Low-Cost Movement Assessment System: A Feasibility Study.

Jacob Thomas, Rebecca Bliss, Caitlin Fields, Tristan Farnen, Trent Guess

Abstract read
In one paragraph

Article in International journal of sports physical therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Jacob ThomasCollege of Health Sciences University of Missouri.
Rebecca BlissDepartment of Physical Therapy University of Missouri.
Caitlin FieldsDepartment of Physical Therapy University of Missouri.
Tristan FarnenDepartment of Physical Therapy University of Missouri.
Trent GuessDepartment of Physical Therapy University of Missouri.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Athletes prematurely cleared to play following concussion increase their risk for subsequent concussion and musculoskeletal injury, leading practitioners to call for low-cost and objective tools to identify lingering neuromotor control deficits following concussion. # PurposeThe purpose of this feasibility study was to determine the usefulness of Mizzou Point-of-care Assessment System (MPASS) measures for creating a discriminant model classifying individuals as being either healthy or in the post-acute phase of concussion (having suffered a concussion within the prior three months). Study Design: Cross-sectional. Methods: Ten participants with concussion injury (Mean = 3.9 ± 1.66 wks. post-concussion) and twelve with no concussion within the prior year participated in this study. All participants completed walking (normal, serial subtraction by seven, and head shaking), Romberg balance (eyes open and eyes closed on firm surface), and reaction time tasks while MPASS recorded kinematics, kinetics, and reaction time. Principal component analysis (PCA) was used to reduce the dimensionality of MPASS data. Results: Using four retained principal components (PCs), the LDA model achieved a statistically significant (p = 0.007) accuracy of 82% with 80% sensitivity and 83% specificity for classifying participants into groups. Conclusion: This work presents a framework for assessing the discriminative power of multidimensional and clinically feasible tools for assessing human movement. Level of Evidence: 3.

Indexed as

Dual TaskmTBIPostural ControlReturn-to-Play

Identifiers

PMID40041526
PMCPMC11872567

What OpenQuestion holds

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LicenceCC BY-NC
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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.