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Record W4307055880 · doi:10.1093/pch/pxac100.012

13 Quantifying the Intensity of Adverse Events in Children Receiving Ibuprofen and Oxycodone Following Acute Fracture

2022· article· en· W4307055880 on OpenAlexaff
Katie Gourlay, Samina Ali

Bibliographic record

VenuePaediatrics & Child Health · 2022
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOxycodoneMedicineIbuprofenNauseaAnesthesiaVomitingAdverse effectConstipationEmergency departmentPhysical therapyOpioidInternal medicinePharmacologyPsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Treatment of pain is an essential component of optimizing an injured child’s quality of life and experience. Ibuprofen and oxycodone are widely used for treating childhood fracture pain. While oxycodone is generally associated with increased frequency of adverse events (AEs), little is known on the comparative intensity of AEs associated with these medications. Objectives Our primary objective was to quantify the frequency and intensity of AE's associated with ibuprofen and oxycodone in children following acute fracture. Our secondary objective was to assess functional outcome impairment in children taking ibuprofen and oxycodone, specifically their ability to eat, sleep, play, and attend school. Design/Methods Patients aged 4-16 years diagnosed with a fracture in the Stollery emergency department who were prescribed either ibuprofen or oxycodone were recruited from 2010-2014. Patient characteristics were collected using a structured chart review. Families were called for the first three days after discharge and asked to report the frequency and intensity of AEs, as well as whether their child’s ability to eat, sleep, play or attend school was impaired. Results A total of 240 children were recruited (ibuprofen n=176, oxycodone n=59). Children using oxycodone were more likely to report any AE (p<0.001), nausea (p<0.001), vomiting (p<0.001), drowsiness (p<0.001), constipation (p=0.003), and dizziness (p<0.001), compared to ibuprofen. Using an 11-point rating scale, children receiving oxycodone reported more severe abdominal pain (oxycodone: mean 5.4 SD 3.1; ibuprofen mean 2.5 SD 1.4) on Day 1 (p=0.02) and worse constipation (oxycodone: mean 4.9 SD 2.1; ibuprofen mean 3.2 SD 2.2) over all three days (p=0.04). Children with upper limb fractures experienced more impairment in playing (oxycodone 93.8%, ibuprofen 65.7%, p<0.001) and attending school (oxycodone 80.9%, ibuprofen 57.6%, p=0.004) when prescribed oxycodone, while children with lower limb fractures experienced similar impairments regardless of medication used. Conclusion Oxycodone is associated with more frequent overall, gastrointestinal, and neurologic AEs and higher intensity gastrointestinal AEs compared to ibuprofen. Function with upper limb fractures is worse in children prescribed oxycodone, over ibuprofen. Clinicians should be aware of differences in AE profiles when caring for children in pain.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.376
Teacher spread0.344 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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