Golimumab reduces sleep disturbance in patients with active ankylosing spondylitis: Results from a randomized, placebo‐controlled trial
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effect of golimumab on sleep disturbance in patients with active ankylosing spondylitis (AS). METHODS: Golimumab was studied in a multicenter, randomized, placebo-controlled study (GO-RAISE). At baseline, 356 patients were randomly assigned in a 1.8:1.8:1 ratio to subcutaneous golimumab 50 mg, 100 mg, or placebo every 4 weeks. Sleep disturbance was assessed using the Jenkins Sleep Evaluation Questionnaire (JSEQ), which was administered at baseline, week 14, and week 24. Treatment effect was evaluated using analysis of variance on the van der Waerden normal scores. RESULTS: Median JSEQ scores at baseline were 9.0 in the placebo group, 10.0 in the 50-mg group, and 11.0 in the 100-mg group, indicating moderate to severe sleep disturbance. Patients who received golimumab showed significantly greater median improvement from baseline in JSEQ scores compared with placebo at week 14 (-3.0 versus 0.0; P < 0.001) and week 24 (-3.0 versus -1.0; P < 0.001). Changes from baseline in JSEQ scores significantly correlated with changes from baseline in Short Form 36 summary scores, Bath AS Functional Index scores, total back pain, night back pain, and Bath AS Disease Activity Index scores. Multiple regression analyses indicated that improvement in the night back pain score was the most consistent predictor of change in JSEQ score or reduction in sleep disturbance. CONCLUSION: Patients with active AS showed significant sleep disturbance at baseline due to underlying pain associated with AS. Treatment with subcutaneous golimumab every 4 weeks significantly reduced sleep disturbance and improved health-related quality of life.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".