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Perception of pain following rectal administration of morphine in children: a comparison of a gel and a solution

2005· article· en· W2076250322 on OpenAlexaboutno aff
Stefan Lundeberg, Pirkko Hatava, Michael Lagerkranser, Gunnar Olsson

Bibliographic record

VenuePediatric Anesthesia · 2005
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMorphineRectal administrationAnesthesiaVisual analogue scaleSalinePremedicationPain scaleAnalgesic

Abstract

fetched live from OpenAlex

BACKGROUND: Rectal administration of morphine is one possible route of delivery in children. The aim of this study was to determine the pain experience during rectal administration of two different morphine preparations. METHODS: The acceptance of the pain of rectal administration of morphine for premedication was studied in 120 children. Children were randomized to receive either morphine solution in saline (0.2 mg.kg(-1), 1 mg.ml(-1)) or morphine gel (0.2 mg.kg(-1), 1 mg.ml(-1)) with an adjusted pH for rectal use in a double-blind fashion. Children were stratified into three groups according to age (1-2, 3-6, and 7-10 years). Pain was assessed with the Children's Hospital of Eastern Ontario Pain Scale, the McGrath Facial Affective Scale, or the visual analogue scale, depending on the age group. RESULTS: The overall pain scores in all age groups were low. Children aged 1-2 years (P < 0.01) and 3-6 years (P < 0.05) had significantly less pain when morphine was administered as a gel than a solution. The difference in pain experience between the two forms was not significant in the age group of 7-10 years. CONCLUSION: The results indicate that most of the children tolerated rectal administration of morphine well in terms of pain experience, in both gel and solution form. The morphine gel, intended for rectal use appears to be the preparation of choice in children aged 1-6 years.

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)0.000
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 score0.007
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.012
GPT teacher head0.280
Teacher spread0.268 · 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

Citations6
Published2005
Admission routes1
Has abstractyes

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