MétaCan
Menu
Back to cohort
Record W7028826631

Impacto de um programa de três meses de exercícios resistidos para idosos com osteoartrite de joelhos, da comunidade de Santa Cruz, Rio Grande do Norte, Brasil

2016· other· pt· W7028826631 on OpenAlexaboutno aff

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2016
Typeother
Languagept
FieldArts and Humanities
TopicLibraries and Information Services
Canadian institutionsnot available
Fundersnot available
KeywordsTest (biology)Quality of life (healthcare)Elderly peopleOlder peopleContext (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

"Objetivo: avaliar o impacto de um programa de três meses de exercícios resistidos na dor e funcionalidade de idosos com osteoartrite de joelhos, da cidade de Santa Cruz, RN. Método: estudo quase experimental, com 13 idosos com diagnóstico médico de osteoartrite de joelhos, que realizaram um programa de exercícios resistidos duas vezes por semana, durante 12 semanas. A dor, força muscular, funcionalidade, qualidade de vida e satisfação do paciente foram avaliadas através dos instrumentos: Escala visual analógica de dor, Teste de uma repetição máxima (1RM), questionário The Western Ontario and McMaster Universities Osteoarthritis Index, Teste Timed Up and Go, Teste de caminhada de seis minutos, questionário Short Form (36) Health Survey e escala Likert. Teste t pareado e ANOVA de medidas repetidas foram utilizados para análise estatística. Resultados: a média de idade dos pacientes foi de 62,0 (±10,0) anos.Ao final do estudo, os idosos melhoraram a dor, aumentaram a força muscular, ficaram mais funcionais e melhoraram alguns domínios da qualidade de vida. Conclusão: os exercícios resistidos foram efetivos e seguros na melhora da dor, força muscular, funcionalidade e qualidade de vida, no grupo estudado. Idosos da comunidade devem ser encorajados a realizar musculação terapêutica supervisionada."

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.024
GPT teacher head0.252
Teacher spread0.228 · 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 designNon-randomized trial
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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueRedalyc (Universidad Autónoma del Estado de México)Same topicLibraries and Information ServicesFrench-language works237,207