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Record W7010688285

Instrumentos de avaliação da astenia/fadiga em cuidados paliativos: revisão sistemática da literatura

2017· article· pt· W7010688285 on OpenAlexaboutno aff

Bibliographic record

VenueRepositório Institucional da Universidade Católica Portuguesa (Universidade Católica Portuguesa) · 2017
Typearticle
Languagept
FieldMedicine
TopicPalliative and Oncologic Care
Canadian institutionsnot available
Fundersnot available
KeywordsPalliative careQuality of life (healthcare)Scale (ratio)Subject (documents)MEDLINE
DOInot available

Abstract

fetched live from OpenAlex

É consensual que a uniformização de instrumentos de avaliação de sintomas em cuidados paliativos facilita a comunicação e promove a melhoria dos cuidados.Contribuindo para essa uniformização em Portugal, num trabalho conjunto com outros co-legas que têm os mesmos objetivos mas relacionados com outros sintomas e necessidades, pretendeu-se conhecer quais os instrumentos mais frequentemente utilizados em investi-gação em cuidados paliativos no período de Fevereiro de 2000 a Fevereiro de 2014 para avaliação da astenia/fadiga e se estes estavam validados para a população portuguesa. Método: Revisão sistemática da literatura realizada em 2014 utilizando as bases de dados eletrónicas, Pubmed e EBSCO. Resultados: Selecionadas 49 publicações. Identificados 19 instrumentos diferentes (5 unidi-mensionais,10 multidimensionais e 4 de qualidade de vida).Conclusão: A maioria dos estudos utilizou instrumentos de avaliação unidimensionais des-tacando-se a Edmonton Symptom Assessment Scale (ESAS) e a Visual Analogue Scale(VAS) respetivamente. Quanto à validação para Portugal dos instrumentos identificados, existia espaço para melhoria.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient 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 score0.424
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0020.002
Science and technology studies0.0050.003
Scholarly communication0.0030.004
Open science0.0060.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.001

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 head0.049
GPT teacher head0.308
Teacher spread0.259 · 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
Published2017
Admission routes1
Has abstractyes

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