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Record W3044705367 · doi:10.1111/1742-6723.13542

Propofol for migraine in the emergency department: A pilot randomised controlled trial

2020· article· en· W3044705367 on OpenAlexaff
Biswadev Mitra, Cristina Roman, Éric Mercier, John Moloney, Gary Yip, Keshav Khullar, Kieran Walsh, De Villiers Smit, Peter Cameron

Bibliographic record

VenueEmergency Medicine Australasia · 2020
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicinePropofolEmergency departmentMigraineEmergency medicinePilot trialAnesthesiaMedical emergencyRandomized controlled trialInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To test the administration of intravenous (i.v.) propofol at a procedural sedation dose compared to standard therapy for initial management of migraine in the ED. METHODS: This was an open label, randomised controlled pilot trial. Eligible patients were adults with a diagnosis of migraine and planned for treatment with i.v. medications. Patients were randomised to propofol or standard therapy groups. The primary outcome variable was time to discharge (TTD) defined as time from intervention to discharge from the ED. Secondary outcomes were safety of propofol administration and change in pain scores. A reduction of pain by ≥50% or discharge from the ED was defined as favourable. All analyses were performed on an intention-to-treat basis. RESULTS: Data from 29 patients were analysed, with 15 patients in the propofol group and 14 patients in the standard therapy group. TTD was significantly lower in the propofol group with median of 290 (interquartile range 162-500) min compared to 554.5 (interquartile range 534-639) min in the standard therapy group (P = 0.021). The hazard ratio for the defined favourable outcome of reduction of pain scores or discharge from the ED was 1.54 (95% CI 0.69-3.41). CONCLUSIONS: Initial management of migraine with i.v. propofol at procedural sedation doses significantly reduced TTD compared to standard therapy. We did not detect any significant safety concerns although the study was not adequately powered to detect safety of the intervention and requires validation.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0050.000

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 head0.094
GPT teacher head0.366
Teacher spread0.272 · 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 designRandomized trial
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

Citations12
Published2020
Admission routes1
Has abstractyes

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