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Record W4245773620 · doi:10.1186/1546-0096-9-s1-p138

Treatment preferences in juvenile idiopathic arthritis – a comparative analysis in two health care systems

2011· article· en· W4245773620 on OpenAlexaffabout
Boris Hügle, Susanne M. Benseler

Bibliographic record

VenuePediatric Rheumatology · 2011
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineJuvenileRheumatologyArthritisInternal medicineHealth careFamily medicinePhysical therapy

Abstract

fetched live from OpenAlex

Pediatric Rheumatologists in Canada (n=58) and Germany/Austria (n=172) were surveyed by email, using case-based vignettes for oligoarthritis and seronegative polyarthritis. Data was analyzed using descriptive statistics; responses were compared using univariate analysis. Total response rate was 63%. Physicians were comparable by age, level of training and duration of practice, but more Canadians were based in academic centers. German physicians were more likely to institute DMARD treatment in oligoarthritis refractory to NSAID (p<0.001), and oral steroid treatment in uveitis (p=0.043). Canadian physicians were more likely to switch to a different DMARD rather than a biologic agent in polyarthritis refractory to DMARD. Both physician groups agreed on time to judge effectiveness of DMARDs (mean 4.2 months) and time to switch to biologic treatment (mean 5.4 months). 86% and 90% of German physicians preferred regular physiotherapy over home exercise compared to 14% and 15% in Canada for oligoarthritis and polyarthritis, respectively. Except for a Canadian preference for Naproxen in oligoarthritis, no significant differences were found for NSAID, intraarticular steroid preparations, initial DMARD and initial biologic treatment. Treatment of oligo- and polyarticular JIA with DMARD follows established guidelines, while usage of intraarticular steroids and biologic agents is variable within and between physician groups. Physiotherapy has a fundamentally different role in the two health care systems.

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 score0.070
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.046
GPT teacher head0.338
Teacher spread0.292 · 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

Citations2
Published2011
Admission routes2
Has abstractyes

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