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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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 source (direct Gemma or distilled Codex), not a consensus.

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