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Record W2786043115 · doi:10.1155/2012/237258

Assessment and Management of Pain in Juvenile Idiopathic Arthritis

2012· review· en· W2786043115 on OpenAlex
Jennifer Stinson, Nadia Luca, Lindsay Jibb

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePain Research and Management · 2012
Typereview
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsInstitute for Clinical Evaluative SciencesSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsJuvenileArthritisMedicinePain managementPhysical therapyPhysical medicine and rehabilitationInternal medicineBiologyEcology

Abstract

fetched live from OpenAlex

Juvenile idiopathic arthritis (JIA) is a common chronic childhood illness. Pain is the most common and distressing symptom of JIA. Pain has been found to negatively impact all aspects of functioning, including physical, social, emotional and role functions. Children with arthritis continue to experience clinically significant pain despite adequate doses of disease-modifying antirheumatic drugs and anti-inflammatory agents. The present article reviews the prevalence and nature of pain in JIA, the biopsychosocial factors that contribute to the pain experience, current approaches to assessing pain in this population, and ways of managing both acute and persistent pain using pharmacological, physical and psychological therapies. Finally, new approaches to delivering disease self-management treatment for youth with JIA using the Internet will be outlined.

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)0.028
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 score0.950
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.098
GPT teacher head0.416
Teacher spread0.319 · 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