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<b>Correlação entre preocupações adicionais e desempenho pessoal com a qualidade de vida na hospitalização para o transplante de células-tronco hematopoiéticas/ Correlation between additional concerns and personal performance with the quality of life in hospitalization for hematopoietic stem cell transplantation<b>

2018· article· pt· W2906362362 on OpenAlexaff
Celina Angélica Mattos Machado, Angela da Costa Barcellos Marques, Bruna Eloise Lenhani, Dabna Hellen Tomim, Paulo Ricardo Bittencourt Guimarães, Luciana Puchalski Kalinke

Bibliographic record

VenueCiência Cuidado e Saúde · 2018
Typearticle
Languagept
FieldMedicine
TopicPalliative and Oncologic Care
Canadian institutionsQuest University Canada
Fundersnot available
KeywordsMedicineQuality of life (healthcare)Internal medicineNursing

Abstract

fetched live from OpenAlex

Objetivou-se correlacionar as preocupações adicionais e o desempenho pessoal com a qualidade de vida geral/global dos pacientes adultos com câncer hematológico, hospitalizados para o transplante de células-tronco hematopoiéticas autólogo e alogênico.Estudo longitudinal, observacional e analítico, realizado em hospital público do sul do Brasil com 55 pacientes. A coleta de dados foi realizada entre setembro de 2013 e novembro de 2015. Foram utilizados os questionários sociodemográfico e clínico, Quality of Life Questionnarie Core-30 e o Functional Assessment of Câncer Therapy – Bone Marrow Transplant. Os dados foram avaliados com o auxílio do software Statística 7.0. A média de idade para o transplante autólogo foi de 45 anos, com predomínio do diagnóstico de mieloma múltiplo; para o alogênico foi de 31 anos com predomínio da leucemia. A qualidade de vida geral/global, o desempenho pessoal e as preocupações adicionais caracterizadas pela imagem corporal, fadiga, sexualidade e apetite apresentaram médias significativamente menores no período de pancitopenia em relação ao basal, com gradativa melhora no período pré-alta hospitalar. Conclui-se que o transplante é uma terapêutica com potencial papel de cura, no entanto, acarreta em impactos negativos nos domínios da qualidade de vida, desempenho pessoal, preocupações adicionais e na experiência de vida dos receptores.

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)0.006
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.034
GPT teacher head0.300
Teacher spread0.266 · 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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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