Abatacept Plus Methotrexate Provides Incremental Clinical Benefits Versus Methotrexate Alone in Methotrexate-naive Patients with Early Rheumatoid Arthritis Who Achieve Radiographic Nonprogression
Bibliographic record
Abstract
OBJECTIVE: This article reports 1-year clinical outcomes in the subgroup of patients with rheumatoid arthritis in the Abatacept study to Gauge Remission and joint damage progression in methotrexate-naive patients with Early Erosive rheumatoid arthritis (AGREE) who achieved radiographic nonprogression at the end of the double-blind phase. METHODS: Patients who achieved radiographic nonprogression (change from baseline in total Sharp score ≤ 0 at 12 months) with abatacept plus methotrexate (MTX) or MTX alone were eligible for this analysis. Clinical outcomes were remission, defined by 28-joint Disease Activity Score (DAS28) using C-reactive protein (CRP), low Disease Activity Score (LDAS), American College of Rheumatology (ACR) scores, physical function (Health Assessment Questionnaire), and tender and swollen joint counts. Safety was assessed at each visit. RESULTS: Patients in the abatacept plus MTX and MTX monotherapy groups had similar baseline characteristics and were similar to the overall study population. The proportion of patients who achieved DAS28 (CRP) remission or LDAS was greater with abatacept plus MTX vs MTX alone [43.2% vs 22.7% (p < 0.001) and 57.4% vs 40.6% (p = 0.008), respectively]. More patients receiving abatacept plus MTX achieved key ACR responses, including major clinical response (27.3% vs 11.9%; p < 0.001). Safety profiles were similar in both treatment groups. CONCLUSION: More MTX-naive patients with early RA who achieved radiographic nonprogression taking abatacept plus MTX also achieved DAS28 (CRP)-defined remission and LDAS compared with patients who received MTX alone, supporting the use of abatacept as a first-line biologic in combination with disease-modifying antirheumatic drugs.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".