A influência da mobilização passiva continua na dor, amplitude de movimento do joelho e qualidade de vida, após artroplastia total do joelho: estudo randomizado controlado
Bibliographic record
Abstract
A utilização da Mobilização Passiva Continua (MPC) no pós-operatório da Artroplastia Total do Joelho (ATJ) proporciona melhoria na dor, amplitude articular e qualidade de vida. Analisar a influencia da MPC na dor, amplitude do movimento do joelho e qualidade de vida em pacientes pós ATJ, quando aplicada por períodos mais restritos de tempo. Foram aleatoriamente randomizados e analisados 37 indivíduos, divididos por 2 grupos, sendo que 18 efetuaram um protocolo de exercícios + MPC (Grupo Experimental – GE) e 19 realizaram só um protocolo de exercícios (Grupo de Controlo – GC). As variáveis primárias definidas foram a dor, amplitude ativa de flexão (AAF) e amplitude ativa de extensão (AAE) do joelho, e qualidade de vida (Escala Womac - Western Ontario and McMaster Universities Osteoarthritis Index). Os participantes foram avaliados antes da cirurgia (T0) e nas 24 (T1) e 72 (T2) horas pós-cirurgia. Quando se compararam os resultados entre o GE e GC não se observaram diferenças significativas (p>0,05), no momento da alta hospitalar (T2), para a AAF, AAE, dor em repouso e qualidade de vida (Womac total). A MPC não teve influência na dor, amplitude de movimento de flexão e extensão do joelho e qualidade de vida em pacientes, 72h após ATJ.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".