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Record W4413213781 · doi:10.12957/reuerj.2025.87939

Avaliação da intensidade dos sintomas em pacientes com câncer em estadiamento III e IV

2025· article· pt· W4413213781 on OpenAlexaboutno aff
EDENILTON DA SILVA MUNIZ, Nen Nalú Alves das Mercês, Shirley Boller, Anderson Ferrari da Silva

Bibliographic record

VenueRevista Enfermagem UERJ · 2025
Typearticle
Languagept
FieldMedicine
TopicWomen's cancer prevention and management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Objetivo: avaliar a intensidade dos sintomas em pacientes com neoplasias avançadas. Método: estudo quantitativo, descritivo, longitudinal, desenvolvido em um hospital universitário no sul do Brasil, incluindo pacientes com neoplasias avançadas. Inicialmente, identificou-se os perfis sociodemográfico e clínico. No seguimento, foram avaliados os sintomas por meio do Edmonton Symptom Assessment System, uma vez por semana. Resultados: os 23 participantes tinham idade média de 53,3 anos, 78,3% se autodeclararam do sexo feminino e seis encontravam-se no estadiamento III, enquanto 17 no IV. Os diagnósticos mais frequentes foram daqueles com neoplasias de mama (30,8%) e de cólon e reto (17,4%). O sintoma com maior média de intensidade foi fadiga (5,35), seguido de ansiedade (5,14) e dispneia (4,54). Conclusão: os sintomas em pacientes com neoplasia avançada podem se manifestar de forma simultânea e, em alguns casos, em picos repentinos de alta intensidade. A avaliação é fundamental para manejo eficaz e melhora da qualidade de vida e sobrevida desses pacientes.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.032
GPT teacher head0.333
Teacher spread0.301 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2025
Admission routes1
Has abstractyes

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