Improved Pain, Morning Stiffness, and Fatigue With Bimekizumab in Axial Spondyloarthritis: Results From the Phase III BE MOBILE Studies
Bibliographic record
Abstract
OBJECTIVE: To assess the effect of bimekizumab on pain, morning stiffness, and fatigue in patients with nonradiographic and radiographic axial spondyloarthritis (axSpA) in the phase III BE MOBILE studies (ClinicalTrials.gov: NCT03928704 and NCT03928743). METHODS: Patients were randomized to bimekizumab 160 mg or placebo every 4 weeks; and all patients received bimekizumab from week 16. Patients reported spinal pain, peripheral pain, morning stiffness, and fatigue to week 52. Total and nocturnal spinal pain were each assessed on a 0-10 numerical rating scale (NRS). Individual Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) items (0-10-point NRS) assessed peripheral arthritis pain (question [Q] 3), enthesitis pain/discomfort (Q4), morning stiffness (mean of Q5 and Q6), and fatigue (Q1). Functional Assessment of Chronic Illness Therapy Fatigue subscale score (FACIT-Fatigue) is also reported. RESULTS: < 0.05) vs placebo, indicating improved symptom levels. Improvements continued to week 52 in continuous bimekizumab-treated patients and in placebo-bimekizumab switchers. A higher proportion of bimekizumab- vs placebo-randomized patients achieved increasingly stringent thresholds for low spinal and peripheral pain at week 16; this was sustained or improved at week 52. Results were similar for morning stiffness and fatigue. At week 52, over half of patients were considered FACIT-Fatigue responders (≥ 8-point increase in score). CONCLUSION: Bimekizumab treatment led to rapid improvements in levels of pain and morning stiffness. Substantial improvements were seen in all domains across the full disease spectrum of axSpA and continued to week 52.
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 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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".