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Record W2032388025 · doi:10.1089/109662103322144655

Development of a Clinical Practice Guideline for Palliative Sedation

2003· article· en· W2032388025 on OpenAlex

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.

Bibliographic record

VenueJournal of Palliative Medicine · 2003
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsAlberta Cancer FoundationUniversity of Calgary
Fundersnot available
KeywordsGuidelineMedicineSedationPalliative carePalliative sedationMandateIntensive care medicineNursingFamily medicineSurgery

Abstract

fetched live from OpenAlex

Palliative sedation is an effective symptom control strategy for patients who suffer from intractable symptoms at the end of life. Evidence suggests that the use of this practice varies considerably. In order to minimize variation in the practice of palliative sedation within our health region, we developed a clinical practice guideline (CPG) for the use of palliative sedation. Using available evidence from the literature, a five step process was employed to develop the CPG: (1) a working group was charged with the mandate to develop a draft guideline; (2) a working definition for palliative sedation was developed; (3) criteria for use of sedation were determined; (4) critical steps to be taken prior to initiation of sedation were defined; and (5) the CPG was reviewed by local stakeholders. Feedback from the wider group of stakeholders was used to arrive at the final CPG, which subsequently received approval from the local Medical Advisory Board. The process used to develop the CPG served to develop consensus within the local community of palliative care clinicians regarding the practice of palliative sedation. Subsequently, the CPG was used as a tool for educating other health care providers.

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)0.006
metaresearch head score (Gemma)0.040
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.764
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.040
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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 head0.358
GPT teacher head0.572
Teacher spread0.214 · 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