Physical Function and Spinal Mobility Remain Stable Despite Radiographic Spinal Progression in Patients with Ankylosing Spondylitis Treated with TNF-α Inhibitors for Up to 10 Years
Bibliographic record
Abstract
OBJECTIVE: The aim of the study was to investigate the effect of radiographic spinal progression and disease activity on function and spinal mobility in patients with ankylosing spondylitis (AS) treated with tumor necrosis factor-α (TNF-α) inhibitors for up to 10 years. METHODS: Patients with AS who participated in 2 longterm open-label extensions of clinical trials with TNF-α inhibitors (43 receiving infliximab and 17 receiving etanercept) were included in this analysis based on the availability of spinal radiographs performed at baseline and at a later timepoint (yr 2, 4, 6, 8, and 10) during followup. Spinal radiographs were scored according to the modified Stoke Ankylosing Spondylitis Spine Score (mSASSS). Function was assessed by the Bath Ankylosing Spondylitis Functional Index (BASFI), spinal mobility by the Bath Ankylosing Spondylitis Metrology Index (BASMI), and disease activity by the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI). RESULTS: After the initial improvement, BASFI and BASMI remained remarkably stable at low levels over up to 10 years despite radiographic spinal progression. In the generalized mixed effects model analysis, no association between the mSASSS and the BASFI change (β = 0.0, 95% CI -0.03 to 0.03) was found, while there was some effect of mSASSS changes on BASMI changes over time (β = 0.05, 95% CI 0.01-0.09). BASDAI showed a strong association with function (β = 0.64, 95% CI 0.54-0.73) and to a lesser extent, with spinal mobility (β = 0.14, 95% CI 0.01-0.26). CONCLUSION: Functional status and spinal mobility of patients with established AS remained stable during longterm anti-TNF-α therapy despite radiographic progression. This indicates that reduction and continuous control of inflammation might be able to outweigh the functional effect of structural damage progression in AS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".