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Record W2070947666 · doi:10.4103/0970-9185.98322

Injection pain of propofol in children: A comparison of two formulations without added lidocaine

2012· article· en· W2070947666 on OpenAlexaboutno aff
Serbülent Gökhan Beyaz, Ali Eman

Bibliographic record

VenueJournal of Anaesthesiology Clinical Pharmacology · 2012
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPropofolMedicineAnesthesiaLidocainePain scaleIncidence (geometry)PopulationSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Propofol emulsion in medium and long-chain triglycerides (MCT/LCT) has been reported to cause less injection pain than other propofol solutions in adult studies. The aim of this study was to compare the injection pain of two different propofol emulsions using two different pain scales on the pediatric population. MATERIALS AND METHODS: 100 children scheduled for general anesthesia were divided into two groups. Patients were randomly assigned to receive propofol LCT or propofol MCT/LCT. Assessment and evaluation of the Ontario Children's Hospital Pain Scale (mCHEOPS) and the Wong-Baker Faces Scale (WBFS) were performed at the start of the injection until the patients lose consciousness. RESULTS: There were no significant differences between groups in terms of demographic data. According to the mCHEOPS scale, the pain incidence of propofol LCT was 5%, whereas for propofol MCT/LCT it was 15% (P < 0.05). According to the WBFS Pain Scale, the pain incidence of propofol LCT was 17%, whereas for propofol MCT/LCT it was 21% (P > 0.05). CONCLUSIONS: Propofol MCT/LCT does not decrease injection pain; contrary to the general assumption, it causes more pain than propofol LCT in 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)0.007
metaresearch head score (Gemma)0.001
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 score0.015
Threshold uncertainty score0.475

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.058
GPT teacher head0.459
Teacher spread0.401 · 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

Citations10
Published2012
Admission routes1
Has abstractyes

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