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Nodulosis in Systemic Onset Juvenile Idiopathic Arthritis: An Uncommon Event with Spontaneous Resolution

2009· article· en· W1969128307 on OpenAlexaff
Reem Abdwani, Rosie Scuccumarri, Karen Watanabe Duffy, Ciarán M. Duffy

Bibliographic record

VenuePediatric Dermatology · 2009
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsMcGill UniversityMontreal Children's Hospital
Fundersnot available
KeywordsMethotrexateMedicinePolyarthritisRheumatoid arthritisArthritisJuvenile rheumatoid arthritisSystemic diseaseDermatologyJuvenileSurgeryDiseasePathologyImmunology

Abstract

fetched live from OpenAlex

Accelerated nodulosis is a rare complication of methotrexate therapy in juvenile idiopathic arthritis. When nodulosis does occur in patients with juvenile idiopathic arthritis on methotrexate, it is almost always seen in patients with polyarthritis with rheumatoid factor seropositivity, but only occasionally in polyarthritis patients who are rheumatoid factor negative. It has been described previously in only one patient with systemic arthritis. In this study, we describe three patients with systemic arthritis, all of whom developed nodulosis while receiving methotrexate. Interestingly, it was not necessary to discontinue methotrexate in any of these patients. In fact, methotrexate dose was escalated without consequences and with complete resolution of nodules. This observation suggests that nodulosis occurring in patients with systemic arthritis already on methotrexate may not be because of methotrexate itself, but may be a component of the disease process. The other likely possibility given the fact that nodulosis occurs with other immunomodulatory agents and is not specifically related to methotrexate is that immunomodulatory agents in general precipitate the development of nodulosis. Thus, we propose that the new terminology "immunomodulatory agents induced nodulosis" rather than "methotrexate-induced nodulosis" be used in the literature.

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 score0.247
Threshold uncertainty score0.770

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.010
GPT teacher head0.262
Teacher spread0.252 · 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

Citations10
Published2009
Admission routes1
Has abstractyes

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