MétaCan
Menu
Back to cohort
Record W1493229801 · doi:10.1002/pon.1995

Preparation for the end of life in patients with advanced cancer and association with communication with professional caregivers

2011· article· en· W1493229801 on OpenAlex
Kirsten Wentlandt, Debika Burman, Nadia Swami, Sarah Hales, Anne Rydall, Gary Rodin, Christopher Lo, Camilla Zimmermann

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePsycho-Oncology · 2011
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of TorontoOntario Institute for Cancer ResearchPrincess Margaret Cancer CentreUniversity Health Network
FundersOntario Ministry of Health and Long-Term Care
KeywordsLogistic regressionMedicinePalliative careQuality of life (healthcare)Association (psychology)Multivariate analysisCancerIntervention (counseling)Performance statusFamily medicineClinical psychologyPsychologyInternal medicinePsychiatryNursingPsychotherapist

Abstract

fetched live from OpenAlex

OBJECTIVE: Previous studies regarding patients' end of life (EOL) preparation have focused mainly on practical tasks, such as advance directives. In this study, we investigate the relational and personal aspects of EOL preparation, using a patient-completed questionnaire, and examine associations with clinician-patient communication (CPC) and other variables. METHODS: Patients with advanced cancer but with good performance status were recruited from 24 medical oncology clinics, to participate in a cluster-randomised controlled trial of early palliative care intervention. Measures included the Quality of Life at the End of Life preparation for EOL subscale, and measures of CPC, functional status, comorbidity, spiritual well-being and symptom severity. Using chi-squared tests, t-tests and multivariate regression analyses, we examined the variables associated with preparation for EOL. We also examined the frequency distributions of individual EOL preparation items and used logistic regression to examine their associations with adequacy of CPC. RESULTS: In the 469 patients, characteristics associated with better EOL preparation were better CPC, older age, living alone, less symptom burden and better spiritual well-being. Thirty-one per cent agreed that they worried 'quite a bit' or 'completely' about their family's preparation to cope with the future, and 27% agreed that they would be a burden to their family. All preparation items except regrets about life were associated with adequacy of communication. CONCLUSIONS: A substantial minority of patients with advanced cancer but with good performance status are concerned about EOL preparation, particularly in relation to their families. Better CPC may help patients prepare not only practically but also personally and socially in relation to the dying process and the welfare of their families.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.018
Threshold uncertainty score0.153

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.079
GPT teacher head0.432
Teacher spread0.354 · 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