Evaluation of Health Outcomes with Etanercept Treatment in Patients with Early Nonradiographic Axial Spondyloarthritis
Bibliographic record
Abstract
OBJECTIVE: Analyses were conducted to examine the baseline burden of illness and compare the effect of etanercept (ETN) versus placebo (PBO) on quality of life (QOL) in patients with nonradiographic axial spondyloarthritis (nr-axSpA) who failed nonsteroidal antiinflammatory drugs (NSAID). METHODS: Patients fulfilling the Assessment of Spondyloarthritis International Society axSpA criteria, not meeting the modified New York criteria for ankylosing spondylitis (AS), who were symptomatic 3 months to 5 years, with a Bath AS Disease Activity Index score ≥ 4, and failed ≥ 2 NSAID were randomized to ETN 50 mg weekly or PBO (double-blind) for 12 weeks, followed by open-label ETN 50 mg for 92 weeks. Stable NSAID were allowed throughout our study. QOL outcomes over 24 weeks were analyzed using ANCOVA models. RESULTS: At baseline, Multidimensional Fatigue Inventory (MFI; ETN mean 14.7, PBO mean 15.0), EQ-5D utility (0.52, 0.57), EQ-5D visual analog scale (56.5, 56.4), and Medical Outcomes Study (MOS) Sleep Index II (45.5, 48.1) were worse than population norms (6.6-8.0, 0.86, 82.5, and 25.8, respectively). At Week 12, Bath AS Patient Global Score, nocturnal and average back pain, MOS Short Form-36 (SF-36) physical component, and Work Productivity and Activity Index (WPAI) presenteeism and activity impairment favored ETN (p < 0.05). Nonsignificant improvements for ETN were seen in other WPAI domains, MFI, MOS-Sleep Index I and II, Hospital Anxiety and Depression Scale, EQ-5D utility score, and SF-36 mental component (p > 0.05). At Week 24, patients in the PBO group who had switched to ETN at Week 12 showed improvement in most QOL assessments, similar to that seen in patients receiving ETN for 24 weeks. CONCLUSION: Improvements favored ETN in QOL and productivity measures, with limited improvement on general QOL measures. Short disease duration, a short PBO-controlled period, and a wide range of QOL scores at baseline may have influenced improvements.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".