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Record W4416319976 · doi:10.1590/ce.v30i0.99574es

Prevalencia y factores asociados a los síntomas de ansiedad y depresión en pacientes con insuficiencia cardíaca

2025· article· W4416319976 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
KeywordsDepression (economics)AnxietyDepressive symptomsQuality of life (healthcare)Psychological distress

Abstract

fetched live from OpenAlex

RESUMEN Objetivo: Identificar la prevalencia y los factores sociodemográficos y clínicos asociados a los síntomas de ansiedad y depresión en pacientes con insuficiencia cardíaca en una clínica ambulatoria de cardiología. Métodos: Se realizó un estudio transversal en una clínica ambulatoria de cardiología en João Pessoa, Paraíba, Brasil, involucrando a 88 pacientes. La ansiedad y los síntomas depresivos fueron evaluados utilizando la Hospital Anxiety and Depression Scale. Se utilizaron pruebas de asociación, correlación de Spearman y regresión de Poisson. Resultados: La prevalencia de síntomas de ansiedad fue del 67,1%, y la prevalencia de síntomas depresivos fue del 34,1%. El estado civil, el sexo y el nivel de educación estaban significativamente asociados con síntomas de ansiedad. Conclusiones: Se identificó una alta prevalencia de síntomas de ansiedad y depresión. Se necesitan intervenciones de salud para minimizar el impacto de los síntomas psicológicos, ya que tales medidas son esenciales para mejorar la adherencia a la terapia y la calidad de vida de los pacientes con insuficiencia 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)0.003
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 score0.132
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
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 head0.025
GPT teacher head0.376
Teacher spread0.351 · 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