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Record W4416774804 · doi:10.1002/art.43447

The Impact of Nonsteroidal Anti‐Inflammatory Drugs on Radiographic Spinal Progression in Patients With Axial Spondyloarthritis: 10‐Year Results From an Inception Cohort

2025· article· en· W4416774804 on OpenAlexaff
Murat Torğutalp, Valeria Ríos Rodríguez, Fabian Proft, Mikhail Protopopov, Judith Rademacher, Hildrun Haibel, J. Sieper, Martín Rudwaleit, Denis Poddubnyy

Bibliographic record

VenueArthritis & Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsUniversity Health Network
FundersBundesministerium für Bildung und ForschungAmgen
KeywordsRadiographyNonsteroidalCohortCohort studyRetrospective cohort study

Abstract

fetched live from OpenAlex

OBJECTIVE: This study aims to investigate the impact of nonsteroidal anti-inflammatory drug (NSAID) intake on radiographic spinal progression in axial spondyloarthritis (axSpA), considering different NSAID types (COX-2 inhibitors [COX2i] and nonselective NSAIDs [ns-NSAIDs]) and disease subgroups (radiographic [r-axSpA] and nonradiographic [nr-axSpA]). METHODS: Leveraging data from the German Spondyloarthritis Inception Cohort (GESPIC), we conducted analyses on 252 patients with axSpA (139 with nr-axSpA and 113 with r-axSpA), who had minimum two sets of spinal radiographs. The outcome was progression in modified Stoke Ankylosing Spondylitis Spine Score (mSASSS) in two-year intervals. We fitted sequential conditional mean models by using generalized estimating equations and adjusting for longitudinal repeated measures of exposure and time-dependent confounders. We report β-coefficients with 95% confidence intervals (CIs) for outcomes reflecting the progression in mSASSS per 10-point increase in NSAID intake score. RESULTS: At baseline, 201 (80.0%) patients were under NSAID treatment, with 46 (18%) taking COX2i and 156 (62%) taking ns-NSAIDs, and mean total NSAID intake score was 38.3 ± 35.5. A 10-point increase in NSAID intake score was associated with retardation of radiographic progression (β = -0.052, 95% CI: -0.097 to -0.007), with this effect being most pronounced in patients with r-axSpA (β = -0.077, 95% CI: -0.152 to -0.003). COX2i showed a slightly lower point estimate (although not statistically significant) in progression compared to ns-NSAIDs among all patients with axSpA (β = -0.061 and -0.045, respectively). CONCLUSION: Our findings suggest a beneficial effect of higher NSAID intake, particularly COX2i, on slowing radiographic progression in axSpA. These findings may help inform therapeutic strategies, particularly in r-axSpA, although further research is needed for nr-axSpA.

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)0.002
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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.004
GPT teacher head0.264
Teacher spread0.260 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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