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Record W2016134467 · doi:10.3899/jrheum.110905

Quality of Life Issues in Pediatric Immune-Mediated Inflammatory Disease

2011· review· en· W2016134467 on OpenAlexafffundvenueabout
C.M. Duffy, George A. Wells, Anthony S. Russell, B. Haraoui

Bibliographic record

VenueJournal of Rheumatology Supplement · 2011
Typereview
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
FundersAbbott CanadaBristol-Myers SquibbAmgen
KeywordsMedicineQuality of life (healthcare)Inflammatory bowel diseaseDiseaseArthritisJuvenilePhysical therapyHealth related quality of lifeJuvenile rheumatoid arthritisPediatricsIntensive care medicineImmunologyInternal medicineNursing

Abstract

fetched live from OpenAlex

It has been well established that children with a chronic disease, including those with inflammatory bowel disease (IBD) and juvenile idiopathic arthritis (JIA), report lower health-related quality of life (HRQOL) as compared to their healthy peers. Over the past 20 years there has been a significant emphasis on the development of measures of function and HRQOL for application in JIA and pediatric IBD. Several of the instruments currently used to assess HRQOL in children with immune-mediated inflammatory diseases (IMID), including the Juvenile Arthritis Quality of Life Questionnaire (JAQQ) and IMPACT questionnaire for pediatric IBD, were developed and validated by Canadian-based research teams. This review describes several disease-specific and generic instruments used to assess QOL in children with IBD or JIA. It also provides an overview of findings from several outcomes studies that applied the described tools in assessing HRQOL in children and adolescents with these conditions.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.142
GPT teacher head0.480
Teacher spread0.338 · 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 designNot applicable
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

Citations5
Published2011
Admission routes4
Has abstractyes

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