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Record W2554811589 · doi:10.1590/1982-0194201600055

Indução da dor pelo quimioterápico docetaxel em mulheres com câncer de mama

2016· article· pt· W2554811589 on OpenAlexfundaboutno aff
Rhyquelle Rhibna Neris, Patrícia Magnabosco, Pedro Augusto do Amaral, Maria Ângela Gonçalves de Oliveira Ribeiro, Anna Cláudia Yokoyama dos Anjos

Bibliographic record

VenueActa Paulista de Enfermagem · 2016
Typearticle
Languagept
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsnot available
FundersFundação de Amparo à Pesquisa do Estado de Minas GeraisMcGill University
KeywordsMedicineDocetaxelBrief Pain InventoryGynecologyInternal medicineOncologyCancerPhysical therapyChronic pain

Abstract

fetched live from OpenAlex

Resumo Objetivo Descrever a frequência, características, localização, intensidade da dor em pacientes com câncer de mama em uso do quimioterápico Docetaxel. Métodos Estudo longitudinal realizado com 17 mulheres com câncer de mama em tratamento com Docetaxel. As pacientes foram avaliadas durante três ciclos da quimioterapia quanto à dor, utilizando-se os instrumentos Questionário McGill de Dor (Br-MPQ) e Brief Pain Inventory (BPI). Utilizou-se a correlação de Spearman e o teste de Mann-Whitney. Resultados Houve aumento na média da dor em todas as variáveis do BPI. Quando comparados os valores do Pain Rating Index (PRI) total foram verificados respectivamente 0,20; 0,33 e 0,24 na primeira, segunda e terceira avaliações, sendo encontrada correlação entre a intensidade da dor e a interferência em todas as atividades do cotidiano no BPI na segunda avaliação. Conclusão Houve aumento na ocorrência da dor, comprometendo as atividades diárias de vida das mulheres participantes.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.055
GPT teacher head0.360
Teacher spread0.305 · 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

Citations5
Published2016
Admission routes2
Has abstractyes

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