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Record W2324552632 · doi:10.3899/jrheum.160173

Unraveling the Phenotypic Variability of Juvenile Idiopathic Arthritis across Races or Geographic Areas — Key to Understanding Etiology and Genetic Factors?

2016· letter· en· W2324552632 on OpenAlexvenueno aff
Alessandro Consolaro, Angelo Ravelli

Bibliographic record

VenueThe Journal of Rheumatology · 2016
Typeletter
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEtiologyDiseaseOligoarthritisArthritisGenetic predispositionImmunologyHuman leukocyte antigenConcordancePathologyInternal medicineAntigenPolyarthritis

Abstract

fetched live from OpenAlex

Juvenile idiopathic arthritis (JIA) comprises a heterogeneous group of illnesses, all displaying joint inflammation, but with distinct clinical phenotypes, disease courses, outcomes, and presumably, genetic background and pathophysiology1. It is the most common rheumatologic condition in children and a major cause of short- and longterm disability. The current International League of Associations for Rheumatology (ILAR) classification recognizes 7 disease categories, defined on the basis of the clinical and laboratory features present in the first 6 months of illness2. Although the etiology and pathogenesis of JIA are still poorly understood, it is hypothesized that a genetically susceptible individual could develop an uncontrolled and harmful immune response toward a self-antigen upon exposure to an environmental trigger3. However, although several inciting factors have been suspected, including infectious agents, vaccinations, traumatisms, and maternal smoking, proof is still elusive. Instead, there is strong evidence for a genetic predisposition to JIA4. The importance of genetic determinants has been demonstrated by instances of familial aggregation of JIA and by the monozygotic twin concordance rate of 25%–40%. In addition, numerous associations between human leukocyte antigen (HLA) polymorphisms and JIA subtypes have been reported. Recent genome-wide studies in individuals of European ancestry have identified a number of new susceptibility loci also in non-HLA regions4. Over the past 3 decades, several epidemiologic surveys have documented a remarkable, yet unexplained, disparity in the prevalence of JIA subtypes among different geographic areas or racial/ethnic groups5,6,7,8,9,10,11,12,13. In Western countries, the most common category is oligoarthritis, but this form is rare in India, New Zealand, The Middle East, and South Africa, where polyarthritis predominates. Systemic arthritis accounts for an increased proportion of childhood arthritis in Asia, … Address correspondence to Prof. A. Ravelli, Pediatria II, Istituto G. 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 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)0.004
metaresearch head score (Gemma)0.002
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 score0.530
Threshold uncertainty score0.937

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.036
GPT teacher head0.295
Teacher spread0.259 · 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

Citations21
Published2016
Admission routes1
Has abstractyes

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