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Record W2786541667 · doi:10.5737/236880762813037

PERSPECTIVES INTERNATIONALES : Les besoins en soins de soutien comme prédicteurs de la qualité de vie de patientes atteintes d’un cancer gynécologique

2018· article· fr· W2786541667 on OpenAlexaffvenue
Yati Afiyanti, Ariesta Milanti, Riska Hediya Putri

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsPrairie Women's Health Centre of Excellence
Fundersnot available
KeywordsPolitical scienceGynecologyMedicine

Abstract

fetched live from OpenAlex

<p class="p1">Il a été démontré que des besoins non<span class="s1"> </span>comblés en soins de soutien réduisent la qualité de vie des patients atteints de cancer, incluant ceux ayant un cancer gynécologique. Nous avons donc cherché à mieux comprendre la relation entre les besoins non<span class="s1"> </span>comblés en soins de soutien et la qualité de vie des patients traités pour un cancer gynécologique. Un total de 153 patientes provenant de deux grands hôpitaux de cancérologie de Jakarta en Indonésie ont été réunies pour former un échantillon de commodité et répondre aux questionnaires SCNS-SF34 et EORTC QLQ-30. L’analyse des résultats a permis de conclure que des besoins non<span class="s1"> </span>comblés en soins de soutien prédisent une moins bonne qualité de vie (c.-à-d.<span class="s1"> </span>une moins bonne santé, une capacité fonctionnelle affectée et plus de symptômes liés au cancer). Cette étude met l’accent sur la nécessité de prioriser les services de soins de soutien sur les plans psychologique, physique et sexuel afin d’améliorer la qualité de vie des patientes.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.006
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.385
Teacher spread0.338 · 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 designQualitative
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
Published2018
Admission routes2
Has abstractyes

Explore more

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