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Record W7117451088 · doi:10.1002/art.70050

Measuring the Impact: Magnetic Resonance Imaging Response of Sacroiliac Joints to Tumor Necrosis Factor Inhibitors in Youth With Axial Disease

2025· article· en· W7117451088 on OpenAlexaffabout
Timothy G. Brandon, Rui Xiao, Daniel J. Lovell, Edward J. Oberle, Matthew L. Stoll, Nancy A. Chauvin, Michael L. Francavilla, Walter P. Maksymowych, Pamela F. Weiss

Bibliographic record

VenueArthritis & Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsResearch CanadaUniversity of Alberta
FundersUCB PharmaNational Institute of Arthritis and Musculoskeletal and Skin DiseasesAgency for Healthcare Research and QualityNational Institutes of HealthCincinnati Children's Hospital Medical CenterNationwide Children's HospitalCelgeneChildren's Hospital of PhiladelphiaPfizerEli Lilly and CompanyBristol-Myers Squibb
KeywordsInflammationDiseaseTumor necrosis factor alphaMagnetic resonance imagingSacroiliac joint

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the timeline for resolution of sacroiliac joint (SIJ) inflammation, changes in structural lesions, and their correlation with patient-reported outcomes (PROs) in youth with axial juvenile spondyloarthritis (axJSpA) initiating tumor necrosis factor inhibitor (TNFi). METHODS: This prospective, multicenter study included youth aged 8 to 18 years with a clinical diagnosis of axJSpA starting TNFi. Assessments were conducted at baseline and 12 weeks, including clinical evaluation, magnetic resonance imaging (MRI), and PROs. Participants with persistent SIJ inflammation at 12 weeks were reassessed at 24 weeks. Three blinded reviewers evaluated MRIs using Spondyloarthritis Research Consortium of Canada SIJ inflammation scores (SIS) and SIJ structural scores. RESULTS: Of 75 enrolled participants, 73 completed baseline visits, and 62 had MRI-confirmed axJSpA. Fifty-seven completed a 12-week follow-up; 89% (51 of 57) showed SIS improvement, and 63% (36 of 57) achieved inflammation resolution (SIS <2). Median SIS change from baseline to 12 weeks was -8 (interquartile range: -18 to -3). Among those with persistent inflammation at 12 weeks (n = 26), 85% reported at least moderate clinical improvement. At 24 weeks, 56% (14 of 25) had ongoing inflammation. A total of 84% of SIS improvement occurred within the first 12 weeks. In patients with at least two scans, structural lesion scores decreased, increased, or stayed the same from baseline to the 12-week scan for erosions (58%/25%/18%), sclerosis (21%/9%/70%), fat metaplasia (0%/30%/70%), and backfill (4%/28%/68%). CONCLUSION: Most participants showed early imaging response to TNFi, with most improvement occurring within 12 weeks. Despite residual inflammation persisting in nearly half of patients, most reported symptom improvement, underscoring both the rapid impact of TNFi and the heterogeneity of treatment effects.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.011
GPT teacher head0.248
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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