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Record W3006381521 · doi:10.3899/jrheum.190011

Discontinuation of Canakinumab following Clinical Disease Remission Is Feasible in Patients with Systemic Juvenile Idiopathic Arthritis

2020· article· en· W3006381521 on OpenAlexaffvenue
Despoina Maritsi, Olga Vougiouka, Despina Eleftheriou

Bibliographic record

VenueThe Journal of Rheumatology · 2020
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsInstitute of Infection and Immunity
FundersNational and Kapodistrian University of AthensUniversity of Cyprus
KeywordsMedicineCanakinumabDiscontinuationInterquartile rangeRheumatologyArthritisInternal medicineMacrophage activation syndromePediatricsRetrospective cohort studyDiseaseAnakinra

Abstract

fetched live from OpenAlex

To the Editor: The optimal duration of treatment in patients with juvenile idiopathic arthritis, especially systemic JIA (sJIA), is a major concern for parents and physicians alike. Innovative medicines have managed to control this otherwise potentially life-threatening condition1. However, questions remain regarding the duration and the best timing for cessation of treatment. We report the results of a retrospective study describing the longterm outcome of children with sJIA treated with the antiinterleukin (IL)-1β monoclonal antibody canakinumab. In these children, treatment was discontinued following sustained clinical remission; we aim to identify potential relapse-associated risk factors. This was a single-center retrospective case study conducted from January 2008 to January 2017 and including patients with sJIA (based on International League of Associations for Rheumatology criteria)2 who had clinically inactive sJIA (clinical remission on medication/Wallace criteria)3 for at least 2 years with canakinumab. Patients were monitored for up to 4 years [median time 3.4 yrs, interquartile range (IQR) 2.4–3.7] following attempted canakinumab withdrawal (the study period began at the time of canakinumab withdrawal). Demographics, clinical, and laboratory variables were recorded at the study onset. We also collected data … Address correspondence to Dr. D. Maritsi, Infectious Diseases, Immunology and Rheumatology Unit, Second Department of Paediatrics, P. & A. Kyriakou Children’s Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece. E-mail: dmaritsi{at}gmail.com

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)0.001
metaresearch head score (Gemma)0.001
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 score0.020
Threshold uncertainty score0.231

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.022
GPT teacher head0.298
Teacher spread0.276 · 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

Citations6
Published2020
Admission routes2
Has abstractyes

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