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As experiências de cuidadores informais de pacientes em tratamento oncológico paliativo: uma revisão integrativa

2021· article· pt· W4205195122 on OpenAlexaff
Amina Silva, Stéfany Petry

Bibliographic record

VenueCiência Cuidado e Saúde · 2021
Typearticle
Languagept
FieldMedicine
TopicPalliative and Oncologic Care
Canadian institutionsQueen's University
Fundersnot available
KeywordsHumanitiesPalliative careMedicinePhilosophyNursing

Abstract

fetched live from OpenAlex

Objetivo: agrupar, sintetizar e integrar a literatura acerca das experiências de cuidadores informais que prestam cuidados a pacientes oncológicos em tratamento paliativo. Método: revisão integrativa de literatura usando a metodologia proposta por Ganong. As buscas foram realizadas nas bases de dados Medical Literature Analysis and Retrieval System Online (MEDLINE) e Cumulative Index to Nursing and Allied Health Literature (CINAHL). A estratégia de busca foi composta por termos do Medical Subject Headings (MeSH) e suas versões em inglês e português. Após formulada a estratégia de busca, a mesma foi revisada por uma especialista em revisões sistemáticas para garantir rigorosidade. Resultados: vinte e quatro artigos foram selecionados, e abordavam aspectos referentes a importância de cuidar do ente querido, desafios enfrentados, e recursos utilizados durante o processo morte e morrer. Conclusão: esta revisão traz evidência da falta de suporte e recursos enfrentados por cuidadores informais de pacientes oncológicos paliativos. Assim como, demonstra a necessidade de novas pesquisas sobre esse tópico já que todos os estudos mencionaram a falta de pesquisa nessa área.

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)0.021
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.021
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.053
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0110.011
Science and technology studies0.0020.004
Scholarly communication0.0130.013
Open science0.0020.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.035
GPT teacher head0.345
Teacher spread0.311 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2021
Admission routes1
Has abstractyes

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