Correlação entre instrumentos de medida na Doença de Parkinson: um estudo transversal
Bibliographic record
Abstract
Introducao: A Doenca de Parkinson e descrita como um disturbio do movimento, mas pode incluir sintomas nao-motores, como comprometimento cognitivo e demencia. Objetivos: rastrear o declinio cognitivo e correlacionar instrumentos de medida em individuos com Doenca de Parkinson, comparando-os a individuos saudaveis. Metodos: Estudo transversal, realizado na Faculdade de Ciencias da Saude do Trairi/UFRN. A amostra de 20 individuos (DP=10 e idosos saudaveis n=10). Foram aplicados ficha socio-demografica, UPDRS (II e III), Escala Hoehn & Yahr, Mini Exame do Estado Mental, Prova Cognitiva de Leganes (PCL) e Avaliacao Cognitiva de Montreal (MoCA). Resultados: Observou-se declinio cognitivo em ambos os grupos, atraves do instrumento MoCA (90% dos individuos do grupo DP e 80% do grupo saudavel), sem diferenca estatisticamente significativa (p=0,10); foi verificada associacao entre a UPDRS II e PCL (r=-0,69, p=0,03) e entre UPDRS III e PCL (r=-0,66, p=0,04). Conclusoes: Foi verificado deficit cognitivo no grupo DP, sem diferenca significativa quando comparado aos individuos saudaveis. Houve associacao entre funcao motora e cognitiva em individuos com DP. O MoCA foi mais sensivel no rastreio do deficit cognitivo em individuos com DP.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".