Longterm Safety, Efficacy, and Inhibition of Structural Damage Progression Over 5 Years of Treatment with Abatacept in Patients with Rheumatoid Arthritis in the Abatacept in Inadequate Responders to Methotrexate Trial
Bibliographic record
Abstract
OBJECTIVE: Evaluate the safety and efficacy of longterm abatacept (ABA) treatment over 5 years in methotrexate (MTX)-refractory patients with rheumatoid arthritis (RA). METHODS: Patients from the 1-year, double-blind Abatacept in Inadequate Responders to Methotrexate (AIM) study (NCT00048568) received open-label ABA (∼10 mg/kg) in the longterm extension (LTE). Safety was assessed for patients who received ≥ 1 ABA dose, and efficacy for patients randomized to ABA and treated in the LTE. Radiographs were evaluated for changes in Genant-modified Sharp scores. RESULTS: Out of 652 patients, 539 entered the LTE (ABA, n = 378; placebo, n = 161). At Year 5, 72.4% were ongoing; discontinuation rates declined over time. Incidence rates of serious adverse events, serious infections, malignancies, and autoimmune events were 13.87, 2.84, 1.45, and 0.99 events/100 patient-years exposure, respectively. American College of Rheumatology 20 response was 82.3% (n = 373) and 83.6% (n = 268) at years 1 and 5, respectively. Disease Activity Score 28 C-reactive protein (DAS28-CRP) < 2.6 and ≤ 3.2 were achieved by 25.4% and 44.1% of patients at Year 1 (n = 370), and 33.7% and 54.7% at Year 5 (n = 267), respectively. Mean changes in DAS28-CRP and Health Assessment Questionnaire-Disability Index at Year 1 [-2.83 (n = 365) and -0.68 (n = 369)] were maintained at Year 5 [-3.14 (n = 264) and -0.77 (n = 271)] for patients continuing treatment. Of them, 59.5% (n = 291) and 45.1% (n = 235) remained free from radiographic progression at years 1 and 5, respectively. CONCLUSION: In MTX-refractory patients with RA, longterm ABA treatment was well tolerated and provided consistent safety and sustained efficacy, with high patient retention. Radiographic progression continued to be inhibited with ongoing treatment.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".