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Record W2465451082 · doi:10.1097/spc.0000000000000224

A systematic literature review on the ethics of palliative sedation: an update (2016)

2016· review· en· W2465451082 on OpenAlexaff
Blair Henry

Bibliographic record

VenueCurrent Opinion in Supportive and Palliative Care · 2016
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicinePalliative sedationPalliative careMEDLINESedationEngineering ethicsIntensive care medicineNursingPharmacologyLawPolitical science

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Palliative sedation has been the subject of intensive debate since its first appearance in 1990. In a 2010 review of palliative sedation, the following areas were identified as lacking in consensus: inconsistent terminology, its use in nonphysical suffering, the ongoing experience of distress, and concern that the practice of palliative sedation may hasten death. This review looks at the literature over the past 6 years and provides an update on these outstanding concerns. RECENT FINDINGS: Good clinical guidelines and policies are still required to address issues of emotional distress and waylay concerns that palliative sedation hastens death. SUMMARY: The empirical evidence suggests some movement toward consensus on the practice of palliative sedation. However, a continued need exists for evidence-informed practice guidelines, education, and research to support the ethical practice of palliative sedation at the end of life. Until that time, clinicians are advised to adopt a framework or guideline that has been expert driven to ensure consistent and ethical use of palliative sedation at the end of life.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.389
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.337
GPT teacher head0.530
Teacher spread0.193 · 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 teacher head, not a consensus.

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

Citations26
Published2016
Admission routes1
Has abstractyes

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