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Record W4399400374 · doi:10.59370/rsf.v10i1.154

Análise da evolução do equilíbrio em paciente com Doença de Parkinson: relato de caso

2024· article· pt· W4399400374 on OpenAlexaff
Cryslanne Souza, Juliana Lucena, Katiane Duarte, Thaís Gontijo, Gardênia Feliciano

Bibliographic record

VenueREVISTA DE SAÚDE - RSF · 2024
Typearticle
Languagept
FieldPsychology
TopicPsychology and Mental Health
Canadian institutionsCentre de Santé et de Services Sociaux Cavendish
Fundersnot available
KeywordsMedicinePhilosophyPhysics

Abstract

fetched live from OpenAlex

Introdução: A doença de Parkinson (DP) é uma doença neurológica, progressiva e degenerativa. Apresenta alterações motoras decorrentes da apoptose de neurônios dopaminérgicos da substância negra que apresentam depósitos de proteínas conhecidas como corpúsculos de Lewy. Apresenta sintomas motores e não motores, e conforme a progressão   da doença há comprometimento das AVDs, causando dependência e isolamento social. Objetivo: Discorrer sobre o caso de um paciente com Parkinson, descrevendo a sua funcionalidade e evolução de seu equilíbrio. Metodologia: Foram avaliados 6 prontuários de atendimento realizados por examinadores distintos, a fim de observar como se apresenta o equilíbrio do paciente em questão, acompanhado na clínica escola no período de um ano e seis meses, através dos testes de TAF e TUG. Resultados: No TAF foi evidenciado risco de queda, comprometimento do equilíbrio, instabilidade postural e redução de mobilidade. E no TUG o paciente mostra independência funcional preservada. Conclusão: Apesar dos testes TAF e TUG mostrarem a necessidade de uma execução padronizada, observou-se comprometimento do equilíbrio estático e o menor alteração no equilíbrio dinâmico, portanto houve uma melhora da evolução do equilíbrio dinâmico do paciente.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.006

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 head0.040
GPT teacher head0.384
Teacher spread0.344 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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