O USO DO ULTRASSOM E LIBERAÇÃO MIOFASCIAL EM LOMBALGIAS NÃO ESPECÍFICAS
Bibliographic record
Abstract
Lombalgia se refere a dor na coluna lombar que pode acometer individuos de ambos os sexos em qualquer faixa etaria e e considerada a disfuncao da coluna lombar que acomete mais de 70% da populacao e tem na diminuicao da amplitude articular e encurtamento muscular o principal fator etiologico, contudo disfuncoes neurologicas, inflamatorias e infecciosas tambem podem gerar essas dores. Baseado nessas evidencias objetivou-se estudar um protocolo de tratamento para a diminuicao dessas algias, empregando o uso do ultrassom e da liberacao miofascial com a fnalidade de comprovar seus beneficios. Para atingir esses objetivos avaliaram-se os voluntarios antes do periodo de intervencao, realizaram-se dez sessoes de fisioterapia utilizando essa tecnica e reavaliou os voluntarios apos o periodo experimental. As avaliacoes consistiram em teste de EVA (escala visual analogica) de dor, questionario Mcgill, teste de lasegue e teste de schober. Esse trabalho encontrou como resultados melhora signifcativa da dor lombar dos voluntarios envolvidos e melhora signifcativa na amplitude de movimento da coluna lombar dos envolvidos. Com esse estudo conclui-se que as tecnicas empregadas sao efcazes para melhora das dores lombares.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".