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Record W2024468481 · doi:10.1097/pec.0b013e3181e5c02b

Pain Management of Musculoskeletal Injuries in Children

2010· review· en· W2024468481 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePediatric Emergency Care · 2010
Typereview
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsQueen's UniversityUniversity of Alberta
Fundersnot available
KeywordsMedicineHydrocodoneAcetaminophenIbuprofenOxycodoneEmergency departmentAnalgesicAdverse effectCodeinePhysical therapyIntensive care medicineOpioidAnesthesiaMorphine

Abstract

fetched live from OpenAlex

BACKGROUND: Pain is the most common reason for seeking health care in the Western world and is a contributing factor in up to 80% of all emergency department (ED) visits. In the pediatric emergency setting, musculoskeletal injuries are one of the most common painful presentations. Inadequate pain management during medical care, especially among very young children, can have numerous detrimental effects. No standard of care exists for the management of acute musculoskeletal injury-related pain in children. Within the ED setting, pain from such injuries has been repeatedly shown to be undertreated. OBJECTIVES: Upon completion of this CME article, the reader should be better able to (1) distinguish multiple nonpharmacological techniques for minimizing and treating pain and anxiety in children with musculoskeletal injuries, (2) apply recent medical literature in deciding pharmacological strategies for the treatment of children with musculoskeletal injuries, and (3) interpret the basic principles of pharmacogenomics and how they relate to analgesic efficacy. RESULTS: Pediatric musculoskeletal injuries are both common and painful. There is growing evidence that, in addition to pharmacological therapy, nonpharmacological methods can be introduced to improve analgesia in the ED and after discharge. Traditionally, acetaminophen with codeine has been used to treat moderate orthopedic injury-related pain in children. Other oral opioids (hydrocodone, oxycodone) are gaining popularity, as well. Current data suggest that ibuprofen is at least as effective as acetaminophen-codeine and codeine alone. Medication compliance might be improved if adverse effects were minimized, and ibuprofen has been shown to have a similar or better adverse effect profile than the oral opioids to which it has been compared. Pharmacogenomic data show that nearly 50% of individuals have at least 1 reduced functioning allele resulting in suboptimal conversion of codeine to active analgesic, so it is not surprising that codeine analgesic efficacy is not optimal. At the same time, nonpharmacological therapies are emerging as commonly used treatment options by parents and adjuncts to analgesic medication. The efficacy and role of techniques (massage, music therapy, transcutaneous electrical nerve stimulation), although promising, require further clarification in the treatment of orthopedic injury pain. CONCLUSIONS: There is a need to optimize the measurement, documentation, and treatment of pain in children. There is growing evidence that nonpharmacological methods can be introduced to improve analgesia in the ED, and efforts to help parents implement these methods at home might be advantageous to optimize outpatient treatment plans. In pharmacotherapy, ibuprofen has emerged as an appropriate first-line choice for mild-moderate orthopedic pain. Other oral opioids (hydrocodone, oxycodone) are gaining popularity over codeine, because of the current understanding of the pharmacogenomics of such medications.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.933
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.012
GPT teacher head0.326
Teacher spread0.314 · 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