MétaCan
Menu
Back to cohort

Piora da fragilidade em pessoas idosas comunitárias com hipertensão e fatores associados

2022· article· pt· W4362713428 on OpenAlexaboutno aff
Marianne Silva Soares, Gabriela Alves de Brito, Isamara Corrêa Guimarães Horta, Isabella Ribeiro Gomes, Jair Almeida Carneiro, Fernanda Marques da Costa

Bibliographic record

VenueRevista Brasileira de Geriatria e Gerontologia · 2022
Typearticle
Languagept
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGerontology

Abstract

fetched live from OpenAlex

Resumo Objetivo Estimar a prevalência e fatores associados à piora da fragilidade em idosos com hipertensão arterial. Métodos Estudo quantitativo, longitudinal prospectivo e analítico. Realizado em idosos hipertensos comunitários mineiros. A amostragem foi probabilística, por conglomerados em duas etapas. A coleta de dados ocorreu no domicílio dos idosos em dois momentos. Foram analisadas variáveis demográficas, socioeconômicas e clínico-assistenciais. A fragilidade foi mensurada pela Escala de Fragilidade de Edmonton. Utilizou-se a regressão de Poisson com variância robusta para obter as razões de prevalência brutas e ajustadas Resultados Participaram do estudo 281 idosos, 23,1% apresentaram piora do seu estado de fragilidade. A prevalência de fragilidade passou de 38,0%, no ano base, para 31,2% na primeira onda. A piora da fragilidade foi associada a autopercepção negativa da saúde, à polifarmácia e à internação nos últimos 12 mese Conclusão Houve transição entre os estados de fragilidade. Um contingente importante dos idosos apresentou piora da fragilidade.

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)0.005
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 score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.043
GPT teacher head0.306
Teacher spread0.263 · 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

Citations4
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueRevista Brasileira de Geriatria e GerontologiaSame topicFrailty in Older AdultsFrench-language works237,207