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Current patterns of propofol use in PICU in the United Kingdom and North America

2004· article· en· W2076275234 on OpenAlexaboutno aff
Stephen Playfor, Karthik Venkatesh

Bibliographic record

VenuePediatric Anesthesia · 2004
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsnot available
Fundersnot available
KeywordsPropofolMedicineSedationIntensive careEmergency medicineMedical emergencyIntensive care medicineAnesthesia

Abstract

fetched live from OpenAlex

BACKGROUND: Our aim was to investigate the current patterns of propofol use in pediatric intensive care units (PICUs) in the UK and North America. METHODS: An electronic questionnaire was sent to all PICUs in the UK and those units offering PICU training fellowships in the USA and Canada. RESULTS: We received responses from 15 UK units (75%) and 33 units in North America (52%). Of units who responded, 47% of UK units used propofol for ongoing sedation, compared with 61% of North American units. Units tended to use propofol in defined clinical circumstances, in limited doses, in older children and for relatively short periods. Propofol was used for sedation during procedures in 100% of units although 35% of UK units said that they would use it less frequently in this setting than in the past. Only 18% of North American Units reported that they would be less likely to use propofol for procedures than in the past. CONCLUSIONS: Despite clear guidance from the UK Committee on Safety of Medicines, propofol was still used for ongoing sedation in 47% of UK PICUs responding to our questionnaire. Reasons for this include the utility of the agent and its licensing for use in maintaining anesthesia in children over 3 years, but not for sedation in PICU in similar doses, for similar periods, in the same group of children.

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)0.000
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 score0.002
Threshold uncertainty score0.403

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.049
GPT teacher head0.283
Teacher spread0.233 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations32
Published2004
Admission routes1
Has abstractyes

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