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Record W2067209053 · doi:10.1136/bmj.d1102

Prevention of pain from propofol injection

2011· letter· en· W2067209053 on OpenAlexaff
Duminda N. Wijeysundera, Brian P. Kavanagh

Bibliographic record

VenueBMJ · 2011
Typeletter
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsHospital for Sick ChildrenUniversity of TorontoToronto General HospitalSt. Michael's Hospital
Fundersnot available
KeywordsPropofolAnesthesiaMedicinePain management

Abstract

fetched live from OpenAlex

Adequately studied, but inadequately managed P Marazzi/SPL Propofol is a sedative-hypnotic drug used to provide sedation or anaesthesia in operating rooms, critical care units, and emergency departments. Its popularity is not surprising. It has a rapid onset, is easily titrated, allows a smooth emergence from anaesthesia,1 and has other benefits such as preventing nausea or vomiting⇑.2 Propofol has serious side effects including hypotension and respiratory depression.1 However, these risks are well understood and readily mitigated when it is administered by experienced clinicians in appropriate environments. Pain after intravenous injection is one of the most common adverse effects but is much less well understood and poorly managed. In the linked systematic review and meta-analysis (doi:10.1136/bmj.d1110), Jalota and colleagues compared the effects of different interventions for the prevention of pain after propofol injection.3 Pain occurs in 70% of untreated patients,4 and it has been ranked by expert anaesthesiologists as the third most common avoidable adverse event related to anaesthesia.5 A previous systematic review found that a modified Bier’s block was the most effective intervention for preventing …

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.117
Threshold uncertainty score0.922

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.305
Teacher spread0.253 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations10
Published2011
Admission routes1
Has abstractyes

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