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Record W1965861957 · doi:10.1001/archpedi.162.6.538

Consultation With an Arthritis Specialist for Children With Suspected Juvenile Rheumatoid Arthritis

2008· article· en· W1965861957 on OpenAlexaffabout
Debbie Ehrmann Feldman, Sasha Bernatsky, Michał Abrahamowicz, Yves Roy, Yongling Xiao, Jeannie Haggerty, Karen Leffondré, Pierre Tousignant, Ciarán M. Duffy

Bibliographic record

VenueArchives of Pediatrics and Adolescent Medicine · 2008
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsJuvenile rheumatoid arthritisArthritisJuvenileMedicineRheumatoid arthritisPhysical therapyInternal medicineBiology

Abstract

fetched live from OpenAlex

OBJECTIVES: To describe consultation with an arthritis specialist because of suspected new-onset juvenile rheumatoid arthritis (JRA) and to determine factors associated with prompt consultation. DESIGN: Retrospective cohort study. SETTING: Physician reimbursement administrative data were obtained for all children aged 16 years or younger in the Province of Québec (Canada). PARTICIPANTS: Suspected new-onset cases of JRA in 2000 were defined by a physician visit because of JRA, providing there had been no such claims in the preceding 3 years. MAIN EXPOSURE: First JRA diagnosis made by a non-arthritis specialist. MAIN OUTCOME MEASURES: First consultation with an arthritis specialist subsequent to diagnosis by a non-arthritis specialist and time to first consultation with an arthritis specialist. RESULTS: Of 352 children and adolescents with suspected new-onset JRA identified by non-arthritis specialists, 159 (45.2%) were subsequently seen by an arthritis specialist. Mean (SD) time to consultation for those seen was 115.3 (213.8) days (median, 28 days). Younger children were more likely to obtain care from an arthritis specialist compared with those having JRA first diagnosed by a general practitioner. CONCLUSION: Most patients with suspected new-onset JRA do not obtain prompt care from an arthritis specialist. Further research and action should focus on this issue so that outcomes may be optimized.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.146
Threshold uncertainty score0.587

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.249
Teacher spread0.237 · 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.

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

Citations17
Published2008
Admission routes2
Has abstractyes

Explore more

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