Recombinant human tumor necrosis factor receptor (etanercept) for treating ankylosing spondylitis: A randomized, controlled trial
Bibliographic record
Abstract
OBJECTIVE: To determine the safety and efficacy of etanercept in a multicenter, randomized, placebo-controlled, double-blind trial of adults with moderate to severe active ankylosing spondylitis (AS). METHODS: Patients (n = 277) were treated with either etanercept 25 mg (n = 138) or placebo (n = 139) subcutaneously twice weekly for 24 weeks. The primary outcome measures were the percentages of patients achieving the Assessments in Ankylosing Spondylitis 20% response (ASAS20) at weeks 12 and 24. Other outcome measures included the percentage of patients achieving higher ASAS responses, and the safety of etanercept in patients with AS. All outcome measures were assessed at 2, 4, 8, 12, and 24 weeks. RESULTS: Treatment with etanercept resulted in dramatic improvement. The ASAS20 was achieved by 59% of patients in the etanercept group and by 28% of patients in the placebo group (P < 0.0001) at week 12, and by 57% and 22% of patients, respectively, at week 24 (P < 0.0001). All individual ASAS components, acute-phase reactant levels, and spinal mobility measures were also significantly improved. The safety profile of etanercept was similar to that reported in studies of patients with rheumatoid arthritis or psoriatic arthritis. The only adverse events that occurred significantly more often in the etanercept group were injection-site reactions, accidental injuries, and upper respiratory tract infections. CONCLUSION: Etanercept is a highly effective and well tolerated treatment in patients with active 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".