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Record W2289771113 · doi:10.1590/0034-7167.2016690105i

Influência das características sociodemográficas e clínicas no impacto da doença em valvopatas

2016· article· pt· W2289771113 on OpenAlexaff
Daniela Brianne Martins dos Anjos, Roberta Cunha Matheus Rodrigues, Kátia Melissa Padilha, Rafaela Batista dos Santos Pedrosa, Maria Cecília Bueno Jayme Gallani

Bibliographic record

VenueRevista Brasileira de Enfermagem · 2016
Typearticle
Languagept
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsUniversité LavalInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

RESUMO Objetivo: analisar as características sociodemográficas e clínicas dos pacientes com valvopatia e verificar a influência dessas variáveis no impacto da valvopatia no cotidiano. Método: participaram do estudo 86 pacientes em seguimento ambulatorial. A coleta de dados foi realizada em duas etapas - entrevista presencial para caracterização sociodemográfica e clínica e por meio de contato telefônico para aplicação do Instrumento para Mensuração do Impacto da Doença no Cotidiano do Valvopata (IDCV). Os dados foram analisados através de estatística descritiva e análise de regressão múltipla. Resultados: constatou-se que o escore total do IDCV e seus domínios foram influenciados pela idade, escolaridade, presença ou não de sintomatologia, uso ou não de diurético. Conclusão: o impacto da doença foi influenciado por variáveis sociodemográficas e clínicas. Os resultados fornecem subsídios para o delineamento de intervenções de enfermagem com vistas à redução do impacto da doença no cotidiano do paciente com valvopatia.

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 score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.086
GPT teacher head0.350
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

Citations6
Published2016
Admission routes1
Has abstractyes

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