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Record W4308426199 · doi:10.21315/mjms2022.29.5.6

Cognitive Impairment and Neuropsychiatry Manifestation Following Mild and Moderate Traumatic Brain Injury at 3 Months and 6 Months

2022· article· en· W4308426199 on OpenAlexaboutno aff
Aizzat Othman, Zamzuri Idris, Azmin Kass Rosman, Jafri Malin Abdullah, Abdul Rahman Izaini Ghani, Ahmad Zabidin Zakaria

Bibliographic record

VenueMalaysian Journal of Medical Sciences · 2022
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsNeuropsychiatryTraumatic brain injuryMontreal Cognitive AssessmentMedicineCognitive impairmentRehabilitationCognitionPhysical therapyPediatricsPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Background: Cognitive impairment (CI) and neuropsychiatry manifestation (NM) are known complications among patients with traumatic brain injury (TBI). However, the clinical correlation between mild and moderate TBI with the above have not been extensively studied. Methods: The patients (n = 54) were divided into mild and moderate TBI. Both groups were assessed at 3 months and 6 months post-trauma for the same measures. Diagnosis of CI was done using the Montreal cognitive assessment (MoCA) questionnaire while NM screening was performed using the 12-items General Health Questionnaire (GHQ-12) followed by MINI International Neuropsychiatry Interview (MINI). Results: We found five patients (19.2%) with mild TBI had CI and five patients (19.2%) had NM at 3 months. Only one patient (3.8%) persistently has CI at 6 months while the rest recovered. As for moderate TBI, 11 patients (39.3%) had CI and seven patients (25%) had NM at 3 months but none had persistent CI or NM at 6 months. Age (P < 0.05) and blood pressure were significant risks (P < 0.05) for CI and NM at 3 months. Conclusion: This study highlighted the importance of screening following mild and moderate TBI at 3 months and 6 months. Early recognition facilitates effective rehabilitation programmes planning hence improve prognosis in the future.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.058
GPT teacher head0.362
Teacher spread0.304 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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