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Record W2389772294 · doi:10.1089/neu.2015.4301

Test or Rest? Computerized Cognitive Testing in the Emergency Department after Pediatric Mild Traumatic Brain Injury Does Not Delay Symptom Recovery

2016· article· en· W2389772294 on OpenAlexaff
Brian L. Brooks, Trevor A. Low, Hussain Daya, Samna Khan, Angelo Mikrogianakis, Karen Barlow

Bibliographic record

VenueJournal of Neurotrauma · 2016
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsMcMaster UniversityUniversity of LethbridgeUniversity of CalgaryAlberta Children's Hospital
FundersHealth Research Board
KeywordsTraumatic brain injuryCognitionMedicineCognitive testPhysical therapyEmergency departmentPoison controlConcussionEffects of sleep deprivation on cognitive performanceInjury preventionPhysical medicine and rehabilitationEmergency medicinePsychiatry

Abstract

fetched live from OpenAlex

Rest is commonly prescribed following a mild traumatic brain injury (mTBI). There is concern that cognitive exertion by an acutely or sub-acutely injured brain may negatively alter outcome. The objective of this study was to determine if computerized cognitive testing in the emergency department alters symptom outcome from mTBI. Participants included 77 youth with mTBI who underwent computerized cognitive testing (mean age, 13.6; 95% confidence interval [CI] = 13.0-14.2) and were matched to 77 youth with mTBI who did not participate in cognitive testing (mean age, 13.5; 95% CI = 12.9-14.0). Participants who underwent cognitive testing did not differ from those who did not undergo acute cognitive testing on mean symptom ratings or the proportion who were not recovered at 7-10 days, 1 month, 2 months, or 3 months. There also was no difference in symptom outcome for those who underwent a shortened (four subtests, mean time = 16 min) or full-length (seven subtests, mean time = 28 min) version of the computerized test. Brief cognitive exertion using a computerized cognitive assessment after mTBI in youth does not result in worse symptoms at these follow-up periods, does not prolong symptom recovery, should not be considered contraindicated to recovery, and could be considered as another tool to aid in the management of these injuries. Further research with different samples is warranted.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.165
GPT teacher head0.387
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2016
Admission routes1
Has abstractyes

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