MétaCan
Menu
Back to cohort

Treatment of Post-Concussion Syndrome Following Mild Head Injury.

2001· article· en· W6903186100 on OpenAlexaboutno aff

Bibliographic record

VenueNSUWorks (Nova Southeastern University) · 2001
Typearticle
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsnot available
Fundersnot available
KeywordsHead traumaMedical treatmentPsychogenic diseaseHead (geology)Symptomatic treatmentNonsteroidalMedical literatureMEDLINEHead injury

Abstract

fetched live from OpenAlex

Approximately 38% of patients who sustain head trauma characterized by a brief disturbance of consciousness and clinically unremarkable neuroradiologic findings meet International Classification of Diseases 10th edition (ICD-10) diagnostic criteria for postconcussion syndrome (PCS). Physicians treat a majority of cases with nonsteroidal analgesics or antidepressants, and refer about 40% for psychological consultation. Psychological treatment typically involves education, reassurance, and reattribution of symptoms to benign causes. A review of controlled treatment outcome studies conducted over the past 2 decades in Scandinavia, Great Britain, Canada, and the United States suggests that early single session treatment can prevent the syndrome as effectively as traditional outpatient therapy. Several standardized, empirically supported treatment manuals are available.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.033
GPT teacher head0.289
Teacher spread0.256 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueNSUWorks (Nova Southeastern University)Same topicOral microbiology and periodontitis researchFrench-language works237,207