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Record W2094015050 · doi:10.3899/jrheum.140025

Serum Interleukin 18 as a Diagnostic Remission Criterion in Systemic Juvenile Idiopathic Arthritis

2014· letter· en· W2094015050 on OpenAlexvenueno aff
Masaki Shimizu, Yasuo Nakagishi, Akira Yoshida, Akihiro Yachie

Bibliographic record

VenueThe Journal of Rheumatology · 2014
Typeletter
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineArthritisDiseaseJuvenileInternal medicineGastroenterologyPediatricsImmunology

Abstract

fetched live from OpenAlex

To the Editor: With the development of new therapeutic agents and combination treatment strategies, more children with systemic juvenile idiopathic arthritis (sJIA) can experience protracted periods of low disease activity levels and, in some cases, complete disease quiescence. These advances create a need for the development of validated criteria that precisely describe the clinical state of disease quiescence. We previously reported that serum interleukin 18 (IL-18) levels in patients with sJIA were extremely high during the active phase and remained significantly elevated even when other markers of disease activity normalized1. We also reported that serum IL-18 levels at birth in a healthy infant born to a woman with active adult-onset Still’s disease were markedly increased, and this increase persisted for about 1 month2. These findings indicate that it takes several months for extremely elevated serum IL-18 levels to normalize under physiological conditions. In our study, we serially measured serum IL-18 levels in 11 patients with sJIA (age 10.2 ± 7.6 yrs, male:female = 3:8) until they had relapsed or achieved remission to investigate the kinetics of serum IL-18 levels from the active phase to remission. Further, we investigated the correlation between serum IL-18 and IL-6 levels in these patients. Among 11 patients, 4 patients were enrolled in our previous study1, while 7 patients … Address correspondence to Dr. M. Shimizu, Department of Pediatrics, School of Medicine, Institute of Medical, Pharmaceutical, and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8641, Japan. E-mail: shimizum{at}staff.kanazawa-u.ac.jp

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.287
Teacher spread0.269 · 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.

Study designNot applicable
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

Citations7
Published2014
Admission routes1
Has abstractyes

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