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Record W4416319987 · doi:10.1590/ce.v30i0.99574pt

Prevalência e fatores associados aos sintomas de ansiedade e depressão em pacientes com insuficiência cardíaca

2025· article· W4416319987 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCogitare Enfermagem · 2025
Typearticle
Language
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAnxietyDepression (economics)Quality of life (healthcare)MoodDepressive symptoms

Abstract

fetched live from OpenAlex

RESUMO Objetivo: Identificar a prevalência e os fatores sociodemográficos e clínicos associados aos sintomas de ansiedade e depressão em pacientes com insuficiência cardíaca em uma clínica ambulatorial de cardiologia. Métodos: Estudo transversal realizado em uma clínica ambulatorial de cardiologia em João Pessoa, Paraíba, Brasil, envolvendo 88 pacientes. Os sintomas de ansiedade e depressão foram avaliados por meio da Hospital Anxiety and Depression Scale. Foram utilizados testes de associação, correlação de Spearman e regressão de Poisson. Resultados: A prevalência de sintomas de ansiedade foi de 67,1%, e de sintomas depressivos de 34,1%. O estado civil, o sexo e a escolaridade foram significativamente associados aos sintomas de ansiedade. Conclusões: Identificou-se uma alta prevalência de sintomas de ansiedade e depressão. Intervenções de saúde são necessárias para minimizar o impacto dos sintomas psicológicos, pois tais medidas são essenciais para melhorar a adesão à terapia e a qualidade de vida dos pacientes com insuficiência cardíaca.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.364
Teacher spread0.338 · 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