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Record W4237211024 · doi:10.34024/rnc.2013.v21.8181

Terapia por Contensão Induzida e Treino Mental na Função de Membro Superior Pós-AVC

2013· article· pt· W4237211024 on OpenAlexaff
Aline Oliveira Siqueira, Richelma de Fátima de Miranda Barbosa

Bibliographic record

VenueRevista Neurociências · 2013
Typearticle
Languagept
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Introdução. Acidente Vascular Cerebral (AVC) é a segunda princi­pal causa de incapacidade e morte no mundo. O sinal clínico mais comum é a hemiparesia, que compromete a execução das atividades da vida diária (AVD’S). Objetivo. Verificar o uso da terapia de con­tensão induzida e do treino mental na funcionalidade de membro su­perior pós-AVC. Método. Vinte pacientes hemiparéticos, pós-AVC, 45-74 anos, randomizados aleatoriamente em três grupos: Grupo I(Treino mental) com 6 pacientes, Grupo II(Terapia por Contensão Induzida- TCI) com 6 pacientes e Grupo controle (Cinesioterapia) com 8 pacientes. Antes e após o tratamento dos grupos, foram fei­tas avaliações com a Escala de Fulg-Meyer, goniometria e Medida de Independência Funcional (MIF). Tratou-se por 4 meses, 2 vezes na semana, 30 minutos cada grupo. Resultado. Após as intervenções observou-se com o Fulg-Meyer, que mede o comprometimento mo­tor do membro superior (MMSS) melhora na mobilidade e função motora de MMSS (intragrupos) em todos os grupos, porém o grupo treino mental obteve melhor pontuação (intergrupo); na goniome­tria o grupo cinesioterapia obteve melhor resultado em punho/dedos (intragrupo). Na MIF, que avalia a funcionalidade nas AVD’S, o gru­po Treino Mental obteve melhor resultado (intragrupo/intergrupo). Conclusão. O grupo treino mental demonstrou maiores resultados na funcionalidade de membro superior após AVC.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.353
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.021
GPT teacher head0.271
Teacher spread0.249 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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