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Record W2748477189 · doi:10.1080/02699052.2017.1346289

Highlighting the differences in post-traumatic symptoms between patients with complicated and uncomplicated mild traumatic brain injury and injured controls

2017· article· en· W2748477189 on OpenAlexafffund
J Julien, Simon Tinawi, K. Anderson, Lucie C. Frenette, Hélène Audrit, M.-C. Ferland, Mitra Feyz, Élaine de Guise

Bibliographic record

VenueBrain Injury · 2017
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsMcGill University Health CentreUniversité de MontréalCentre for Interdisciplinary Research in Rehabilitation
FundersMcGill University Health CentreCentre for Interdisciplinary Research in Rehabilitation
KeywordsTraumatic brain injuryHeadachesMoodDepression (economics)AnxietyMedicineConcussionPhysical therapyPost-concussion syndromePoison controlPsychologyInjury preventionPsychiatryEmergency medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The goal of the current study is to explore the difference in acute post-concussive symptoms (PCS), headaches, sleep and mood complaints between groups of patients with complicated and uncomplicated mild traumatic brain injuries (mTBIs) and a comparable group of injured controls. Interactions among the following four factors were studied: presence of (1) PCS; (2) headaches; (3) sleep disorders; and (4) psychological status. METHODS: A total of 198 patients, followed at the outpatient mTBI clinic of the MUHC-MGH, completed questionnaires and a brief neurological assessment two weeks post-trauma. RESULTS: Whether they had a TBI or not, all patients presented PCS, headaches, sleep and mood complaints. No significant differences between groups in terms of reported symptoms were found. Variables such as depression and anxiety symptoms, as well as sleep difficulties and headaches were found to correlate with PCS. The high rate of PCS in trauma patients was observed independently of traumatic brain injury status. This study has also shown that patients with complicated mTBI were more likely to have vestibular impairment after their injury. CONCLUSION: The vestibular function should be assessed systematically after a complicated mTBI. Furthermore, the mTBI diagnosis should be based on operational criteria, and not on reported symptoms.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.069
GPT teacher head0.337
Teacher spread0.268 · 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.

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

Citations12
Published2017
Admission routes2
Has abstractyes

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