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Cognitive profile of patients with facioscapulohumeral muscular dystrophy

2021· article· en· W4200551834 on OpenAlexaboutno aff
Vanessa Brzoskowski dos Santos, Jonas Alex Morales Saute, Laís Alves Jacinto-Scudeiro, A. Jean Ayres, Rafaela Soares Rech, Alcyr Alves de Oliveira, Maira Rozenfeld Olchik

Bibliographic record

VenueDementia & Neuropsychologia · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsnot available
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsFacioscapulohumeral muscular dystrophyMontreal Cognitive AssessmentAudiologyCognitionVerbal fluency testQuality of life (healthcare)MedicineTrail Making TestFluencyPsychologyPhysical medicine and rehabilitationPhysical therapyCognitive impairmentMuscular dystrophyInternal medicineNeuropsychologyPsychiatry

Abstract

fetched live from OpenAlex

Although it is predominantly a muscular disease, impairments in the central nervous system in patients with facioscapulohumeral muscular dystrophy (FSHD) have been described in the literature. Objective: To describe the cognitive profile of patients with FSHD and to correlate the impairments found with clinical variables and quality of life. Methods: Cross-sectional and case-control study that evaluated FSHD patients using a series of cognitive assessments (Mini-Mental State Examination - MMSE, Montreal Cognitive Assessment - MoCA, verbal fluency with phonological restriction - FAS, categorical verbal fluency - FAS-cat, trail-making test - TMT, and Rey's Verbal Auditory Learning Test); a neurological severity scale (Gardner-Medwin-Walton - GMWS); and a quality of life measurement tool (Medical Outcomes Study 36-Item Short-Form Health Survey). Results: Individuals with FSHD (13) and healthy controls (26) were paired by gender and age. Significant differences between case and control groups were found in MMSE, TMT A, and A7 (p≤0.05) and MOCA (p≤0.001) performances. A positive correlation was verified in long-term memory impairments and the age in which symptoms appear (r=-0.593, p=0.033). Regarding quality of life assessment, the emotional domain correlated to MEEM (r=0.657, p=0.015), TMT A (r=-0.601, p=0.030), and A7 (r=0.617, p=0.025) performances. Conclusions: Individuals with FSHD presented mild impairments in the performance of tasks that involve attention, planning, and long-term memory functions. Those impairments were associated neither with the disease duration nor with its neurological severity.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score0.533

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.230
Teacher spread0.225 · 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".

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Citations4
Published2021
Admission routes1
Has abstractyes

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