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Record W2071312014 · doi:10.3109/02699052.2010.531691

Cognitive correlates with functional outcomes after anoxic brain injury: A case-controlled comparison with traumatic brain injury

2010· article· en· W2071312014 on OpenAlexaff
Nora Cullen, Karen Weisz

Bibliographic record

VenueBrain Injury · 2010
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsWestern UniversityToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsNeurorehabilitationFunctional Independence MeasureTraumatic brain injuryRehabilitationPhysical therapyMedicineCognitionPhysical medicine and rehabilitationAcquired brain injuryMinimally conscious stateGlasgow Outcome ScalePsychologyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVES: To assess the effectiveness of inpatient rehabilitation in adults who have sustained an anoxic brain injury (AnBI). Secondly, to identify areas of cognition that predict functional outcomes at discharge. DESIGN: Retrospective, matched case-controlled study. METHODS: Ten patients with moderate-to-severe AnBI and 10 patients with traumatic brain injury (TBI), treated in an inpatient neurorehabilitation programme, were matched on age, acute care length of stay and admission Functional Independence Measure (FIM). Functional outcome was assessed using the FIM and Disability Rating Scale (DRS). RESULTS: Patients with AnBI performed worse on all measures of functional outcome relative to patients with TBI. Patients with AnBI achieved significantly lower FIM motor and cognitive gain compared with patients with TBI (11.5, SD 13.6 vs. 31.0, SD 19.7 and 2.4, SD 3.9 vs. 7.5, SD 4.2, respectively (p < 0.02)). DRS data showed similar trends of functional improvement between the groups. Several neuropsychometric tests correlated with functional outcome (p < 0.01). CONCLUSIONS: Patients with AnBI had worse functional outcomes following rehabilitation than patients with TBI, confirming the results of previous reports. Poor cognitive function predicted poor functional outcomes on the FIM and somewhat on the DRS. Research is needed to assess why these differences occur and to improve or develop new effective rehabilitation treatments for AnBI.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.042
GPT teacher head0.341
Teacher spread0.299 · 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

Citations41
Published2010
Admission routes1
Has abstractyes

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