Desempenho muscular, composição corporal, dor e funcionalidade em idosos com gonartrose
Bibliographic record
Abstract
A osteoartrose (OA) do joelho esta associada a dor, rigidez articular e diversas limitacoes nas atividades funcionais. O objetivo desse estudo foi correlacionar desempenho muscular, composicao corporal, dor e funcionalidade em idosos com gonartrose. Metodos: 21 idosos foram submetidos a bioimpedância eletrica, dinamometria associada a eletromiografia (EMG) na extensao isometrica do joelho, e responderam a Escala Numerica de Dor e ao questionario de OA Western Ontario and McMaster Universities (WOMAC). As correlacoes foram verificadas atraves do coeficiente de correlacao de Pearson. A amostra apresentou 67,36 ± 4,21 anos, percentual de gordura de 40,57 ± 6,15 %, o escore geral de WOMAC de 43,27 ± 16,32 %, e a forca isometrica maxima para extensao de joelho de 19,95 ± 6,99 kgF. Dor ao movimento mostrou associacao significante com o dominio de atividade fisica (r=0,47) e geral (r=0,51) do WOMAC; dor noturna mostrou correlacao positiva significante com o dominio de rigidez do WOMAC (r=0,55), alem de correlacao negativa com os valores de slope da Frequencia Mediana da EMG (r = -0,57). Conclusao: a intensidade da dor esta correlacionada a incapacidade funcional dos individuos idosos com OA de joelho e a um acontecimento mais expressivo dos sinais de fadiga evidenciados pela EMG (Nivel de evidencia III).
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".