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Record W3035437836 · doi:10.1080/23279095.2020.1775599

The effect of diagnostic terminology on cognitive, emotional, and post-concussive sequelae following mild brain injury

2020· article· en· W3035437836 on OpenAlexaff
Angela Sekely, Sonya Dhillon, Konstantine K. Zakzanis

Bibliographic record

VenueApplied Neuropsychology Adult · 2020
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConcussionRivermead post-concussion symptoms questionnaireTraumatic brain injuryPsychologyBeck Depression InventoryCognitionAnxietyClinical psychologyNeuropsychological assessmentNeuropsychologyPoison controlPsychiatryInjury preventionMedicineMedical emergency

Abstract

fetched live from OpenAlex

OBJECTIVE: We sought to determine whether the diagnostic terms 'mild traumatic brain injury (mTBI)' and 'concussion' result in differences in perceived cognitive, emotional, and post-concussive sequelae. METHOD: = 40), and were instructed to simulate on a battery of cognitive (Neuropsychological Assessment Battery - Screening Module), emotional (Beck Anxiety Inventory, Beck Depression Inventory-II), and post-concussive (Rivermead Postconcussive Symptoms Questionnaire) measures. RESULTS: There were no significant group differences between expected cognitive, emotional, or post-concussive consequences. However, both groups received poorer scores than the normative data. CONCLUSIONS: These results suggest that diagnostic terminology does not appear to influence anticipated recovery following mild brain injury. However, the presentation of information about the injury itself may impact recovery outcomes. This study provides preliminary support for the potential negative effects that may arise as a result of providing participants with non-evidence based information about mild brain injuries.

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)0.000
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.029
GPT teacher head0.336
Teacher spread0.307 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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