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Record W4309164345 · doi:10.3899/jrheum.220645

Treatment Response to Tumor Necrosis Factor Inhibitors and Methotrexate Monotherapy in Adults With Juvenile Idiopathic Arthritis: Data From NOR-DMARD

2022· article· en· W4309164345 on OpenAlexvenueno aff
I. Bardan, K. M. Fagerli, Joe Sexton, Tore K Kvien, Gunnstein Bakland, Paweł Mielnik, Yi Hu, Gunhild Lien, Berit Flatø, Øyvind Molberg, Eirik Klami Kristianslund, Anna‐Birgitte Aga

Bibliographic record

VenueThe Journal of Rheumatology · 2022
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMethotrexateJuvenileArthritisTumor necrosis factor alphaInternal medicineTumor necrosis factor αOncologyChemotherapyAntirheumatic AgentsImmunology

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare the effectiveness of tumor necrosis factor inhibitors (TNFi) ± comedication and methotrexate (MTX) monotherapy between patients with adult juvenile idiopathic arthritis (JIA) and patients with rheumatoid arthritis (RA). METHODS: Adult patients with JIA and RA were identified from the Norwegian Antirheumatic Drug Register (NOR-DMARD) register. Disease activity measurements at baseline, 3, 6, and 12 months were compared between patients with JIA and RA starting (1) TNFi and (2) MTX monotherapy, using age- and gender-weighted analyses. We calculated differences between JIA and RA in mean changes in Disease Activity Score in 28 joints (DAS28), Clinical Disease Activity Index (CDAI), and Simplified Disease Activity Index (SDAI), among other disease activity measures. DAS28, CDAI, SDAI, and American College of Rheumatology (ACR)/European Alliance of Associations for Rheumatology (EULAR) remission rates at 3, 6, and 12 months, as well as 6- and 12-month Lund Efficacy Index (LUNDEX)-corrected rates, were calculated. RESULTS: We identified 478 patients with JIA (TNFi/MTX monotherapy, n = 358/120) and 4637 patients with RA (TNFi/MTX monotherapy, n = 2292/2345). Patients with JIA had lower baseline disease activity compared to patients with RA across treatment groups. After baseline disease activity adjustment, there were no significant differences in disease activity change from baseline to 3, 6, and 12-months of follow-up between patients with JIA and RA for either treatment group. Twelve-month remission rates were similar between groups based on DAS28 (TNFi: JIA 55.2%, RA 49.5%; MTX monotherapy: JIA 45.3%, RA 41.2%) and ACR/EULAR remission criteria (TNFi: JIA 20.4%, RA 20%; MTX monotherapy: JIA 17%, RA 12.7%). Median drug survival (yrs) was similar for JIA and RA in both treatment groups (TNFi: JIA 1.2, RA 1.4; MTX monotherapy: JIA 1.3, RA 1.6). CONCLUSION: TNFi and MTX monotherapy are effective in adult JIA, with similar effectiveness to that shown in RA.

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)0.000
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 score0.107
Threshold uncertainty score0.407

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.026
GPT teacher head0.295
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.

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

Citations3
Published2022
Admission routes1
Has abstractyes

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