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Record W2040327319 · doi:10.1097/spc.0b013e3283462fdc

Assessing the role of hydration in delirium at the end of life

2011· review· en· W2040327319 on OpenAlexaff
Chrissi Galanakis, Nancy E. Mayo, Bruno Gagnon

Bibliographic record

VenueCurrent Opinion in Supportive and Palliative Care · 2011
Typereview
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsMcGill University Health CentreRoyal Victoria HospitalMcGill University
Fundersnot available
KeywordsDeliriumMedicineIntensive care medicineMEDLINEBiology

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Delirium is the most frequent neuropsychiatric disorder that affects the advanced cancer population who are receiving palliative care. There is limited evidence and much debate about the role of hydration in delirium management at the end of life. The purpose of this article is to review the literature on delirium management with regards to pharmacological management and hydration. RECENT FINDINGS: Pharmacological management is the first line of treatment for delirium, whereby antipsychotics are the medication of choice. However, they have not been approved by the United States Food and Drug Administration for delirium management as there is insufficient evidence supporting their use. Hydration is a believed to be a key component of delirium reversibility; yet there are conflicting results on its efficacy as an intervention for delirium management. As there are few studies of good methodological quality on the topic and large variations in practice, the effectiveness of hydration as an alternative management option for delirium is unclear. SUMMARY: More work is required to assess the role of hydration in delirium at the end of life. Given the lack of evidence-based research on hydration, more randomized clinical trials are needed to elucidate the effects of hydration as a delirium intervention.

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)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.895
Threshold uncertainty score0.801

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.141
GPT teacher head0.432
Teacher spread0.291 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations12
Published2011
Admission routes1
Has abstractyes

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