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Record W2915804346 · doi:10.7748/ncyp.26.8.29.e498

Fundamentals of chronic pain in children and young people. Part 1

2014· review· en· W2915804346 on OpenAlexaff
Paula Forgeron, Jennifer Stinson

Bibliographic record

VenueNursing Children and Young People · 2014
Typereview
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsSickKids FoundationUniversity of TorontoHospital for Sick ChildrenUniversity of Ottawa
Fundersnot available
KeywordsChronic painQuality of life (healthcare)Multidisciplinary approachMedicineMultidisciplinary teamPsychologyPhysical therapyNursing

Abstract

fetched live from OpenAlex

Persistent and recurrent pain is a common condition in childhood. Chronic pain can have a negative effect on all aspects of quality of life, including physical, emotional, social and role functioning. A small percentage of these children and young people (5-8%) will experience significant impairments due to their pain condition. Most chronic pain requires a holistic multidisciplinary approach to treatment--pharmacological, physical and psychological strategies. Nurses are key members of the health care team in terms of helping children, young people and their families to manage the negative consequences of chronic pain. This article will review the prevalence, pathophysiology, contributing factors, consequences. Part two, to be published next month, will cover multimodal treatment of chronic pain in children and young people.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
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 head0.013
GPT teacher head0.301
Teacher spread0.288 · 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.

Study designObservational
Domainnot available
GenreReview

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

Citations12
Published2014
Admission routes1
Has abstractyes

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