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Record W2027372560 · doi:10.5020/2904

Diferentes modalidades terapêuticas no tratamento da tendinopatia do supraespinhoso

2014· article· pt· W2027372560 on OpenAlexaboutno aff
Gustavo Antonio Meliscki, Paula de Jesus Munhoz, Estela Cristina Carneseca, Milton Faria, Carlos Alberto Gíglio

Bibliographic record

VenueRevista Brasileira em Promoção da saúde · 2014
Typearticle
Languagept
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePhysical therapyDashRange of motionRehabilitation

Abstract

fetched live from OpenAlex

Objetivo: Verificar a eficácia de diferentes modalidades terapêuticas no tratamento da tendinopatia do supraespinhoso. Métodos: Ensaio clínico, de abordagem quantitativa e longitudinal, realizado de janeiro de 2010 a outubro de 2011 na Clínica de Fisioterapia da Universidade de Ribeirão Preto (UNAERP). Foram selecionados 24 pacientes adultos entre 40 e 50 anos, de ambos os gêneros, com diagnóstico de tendinopatia do supraespinhoso. Eles foram divididos em três grupos: Grupo 1 - ultrassom e cinesioterapia convencional; Grupo 2 - laser e cinesioterapia convencional; e Grupo 3 - cinesioterapia aprimorada. Como critérios de avaliação, foram utilizados os questionários de DASH e McGill e a avaliação da amplitude de movimento (ADM) de flexão, extensão, abdução, adução, rotação interna (RI) e rotação externa (RE). Na análise estatística, foi aplicado o Modelo de Regressão com Efeitos Mistos e o teste Kruskal-Wallis, através do software SAS® 9.0. Resultados: Após os tratamentos aplicados, os 3 grupos apresentaram melhora significativa da ADM (p

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.042
GPT teacher head0.332
Teacher spread0.290 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2014
Admission routes1
Has abstractyes

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