Palliative sedation determinants: systematic review and meta-analysis in palliative medicine
Bibliographic record
Abstract
BACKGROUND: The utilisation of palliative sedation is often favoured by patients approaching end of life due to the presence of multiple difficult-to-manage symptoms during the terminal stage. This study aimed to identify the determinants of the use of palliative sedation. METHODS: To identify pertinent observational studies, a comprehensive search was performed in PubMed, Embase, Cochrane Library, and PsycINFO databases from their inception until March 2022. The methodological quality of the chosen prospective and retrospective cohort studies was assessed using the Newcastle Ottawa Scale, while the Agency for Healthcare Research and Quality was used to evaluate the methodological quality of the selected cross-sectional studies. For each potential determinant of interest, the collected data were synthesised and analysed, and in cases where data could not be combined, a narrative synthesis approach was adopted. RESULTS: A total of 21 studies were analysed in this research, consisting of 4 prospective cohort studies, 7 retrospective cohort studies, and 10 cross-sectional studies. The findings indicated that several determinants were significantly associated with palliative sedation. These determinants included younger age, male gender, presence of tumours, dyspnoea, pain, delirium, making advanced medical end-of-life decisions, and dying in a hospital setting. CONCLUSIONS: The findings of our review could help physicians identify patients who may need palliative sedation in advance and implement targeted interventions to reverse refractory symptoms, develop personalized palliative sedation programs, and ultimately improve the quality of palliative care services. TRIAL REGISTRATION: PROSPERO registration number CRD42022324720.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".