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Record W4205513824 · doi:10.33448/rsd-v11i2.25535

Prevalência da fragilidade em idosos institucionalizados no município de Rio Verde - Goiás

2022· article· pt· W4205513824 on OpenAlexaboutno aff
Ana Paula Félix Arantes, Valquíria Miranda Silva, Vanessa da Silva Carvalho Vila, Priscila Valverde de Oliveira Vitorino

Bibliographic record

VenueResearch Society and Development · 2022
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGerontology

Abstract

fetched live from OpenAlex

Objetivo: determinar a prevalência de fragilidade em idosos residentes em uma instituição de longa permanência. Método: estudo transversal descritivo realizado com idosos residentes em uma instituição de longa permanência. Foram utilizados questionários para avaliação das características sociodemográficas e econômicas e Escala de Fragilidade de Edmonton. Resultados: Entre os 75 idosos institucionalizados, 81,33% foram considerados frágeis. Constatou-se que a faixa etária de 60 a 79 anos e aposentados apresentaram relação significativamente relevante com a fragilidade. Conclusão: a maioria dos idosos avaliados apresentou fragilidade, a qual é uma síndrome de caráter multidimensional, impacta na vida pessoal, familiar e social dos idosos, pode ser uma condição precursora do declínio funcional, mas por poder ser identificada precocemente, possui potencial para prevenção e tratamento dos sintomas.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.182
GPT teacher head0.473
Teacher spread0.291 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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