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Record W2782211211 · doi:10.3899/jrheum.170703

Filling the Gap: Toward a Disease Activity Tool for Systemic Juvenile Idiopathic Arthritis

2018· letter· en· W2782211211 on OpenAlexvenueno aff
Francesca Minoia, Alessandro Consolaro, Angelo Ravelli

Bibliographic record

VenueThe Journal of Rheumatology · 2018
Typeletter
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsnot available
FundersUniversità degli Studi di Genova
KeywordsMedicineJuvenileArthritisSystemic diseaseDiseaseJuvenile rheumatoid arthritisInternal medicine

Abstract

fetched live from OpenAlex

Systemic juvenile idiopathic arthritis (sJIA) accounts for 5%–15% of all children with chronic arthritis seen in Europe and North America, but is much more common in Asia, with reported frequency in India and Japan as high as 25% and 50%, respectively1. It is rather distinct from the other forms of JIA, owing to the association of arthritis with peculiar extraarticular symptoms, which include high-spiking fever, erythematous macular rash, diffuse lymphadenopathy, hepatosplenomegaly, and serositis, especially pleuritis and pericarditis2,3. Arthritis may be absent at onset and develop during the disease course, weeks, months, or rarely, years after the occurrence of systemic manifestations. Characteristic laboratory features include anemia (usually hypochromic and microcytic), leukocytosis, thrombocytosis, elevated immunoglobulins, increased erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP), and hypoalbuminemia. Children with sJIA are uniquely susceptible to develop a potentially fatal hyperinflammatory complication known as macrophage activation syndrome4. Regular measurement of the level of disease activity in children with sJIA through the application of well-established tools is important in monitoring the disease course over time and in assessing the effectiveness of therapeutic interventions. However, clinical instruments specifically validated for use in sJIA are lacking. In recent randomized controlled trials of sJIA, the American College of Rheumatology Pediatric 30 criteria have been adapted for measuring therapeutic response by adding, besides the 6 core set variables, the demonstration of the resolution of fever (≥ 38°C) during the week preceding the evaluation5,6 or of the absence of fever (≥ 38.5°C) in the previous 2 weeks, and the reduction of systemic corticosteroid dosage by at least 10% from baseline in patients taking these medications7. Published criteria for clinically inactive disease8,9 and … Address correspondence to Prof. A. Ravelli, Pediatria II-Reumatologia, Istituto Giannina Gaslini, Via G. Gaslini 5, 16147 Genoa, Italy. E-mail: angeloravelli{at}gaslini.org

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)0.018
metaresearch head score (Gemma)0.032
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: Editorial · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.032
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0050.003
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.032
GPT teacher head0.291
Teacher spread0.258 · 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
GenreEditorial

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

Citations7
Published2018
Admission routes1
Has abstractyes

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