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Record W4384209366 · doi:10.18616/inova.v15i1.4873

AVALIAÇÃO DOS EFEITOS DOS BENZODIAZEPÍNICOS SOBRE A COGNIÇÃO DE IDOSOS DE UMA ESTRATÉGIA DE SAÚDE DA FAMÍLIA DE SOMBRIO - SC

2023· article· pt· W4384209366 on OpenAlexaboutno aff
Janaina Sinara da Rosa, Samira da Silva Valvassori, Samira Menegas

Bibliographic record

VenueInova Saúde · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPsychologyGerontologyPhilosophyMedicine

Abstract

fetched live from OpenAlex

Introdução: Diante do acelerado envelhecimento da população, surge a necessidade de uma assistência de saúde preparada para lidar com as particularidades dessa fase da vida. Com o aumento da longevidade ocorrem transtornos e sinais que levam ao dano cognitivo, como a perda de memória. Por isso, muitos idosos utilizam benzodiazepínicos em função de transtornos do sono ou ansiedade. Alguns estudos sugerem que os benzodiazepínicos podem prejudicar a memória. Objetivo: Avaliar parâmetros de cognição em idosos que utilizam benzodiazepínicos de um município do Extremo Sul de Santa Catarina. Metodologia: Trata-se de um estudo piloto caso-controle, que avaliou a memória dos idosos que utilizam benzodiazepínicos que frequentam uma Estratégia de Saúde da Família, através da avaliação cognitiva de Montreal (MoCA). Resultados: Não houve alteração cognitiva nos idosos que utilizam benzodiazepínicos, quando comparados com o grupo controle. Conclusão: Segundo os dados apresentados no presente estudo os benzodiazepínicos não alteram a memória dos idosos. Entretanto, mais estudos com outros testes cognitivos são necessários para melhor descrever os efeitos dos benzodiazepínicos sobre a memória dos idosos.

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)0.003
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 score0.076
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.066
GPT teacher head0.351
Teacher spread0.286 · 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
Published2023
Admission routes1
Has abstractyes

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