Clinical Consequences of Delayed Addition of Adalimumab to Methotrexate Therapy Over 5 Years in Patients with Rheumatoid Arthritis
Bibliographic record
Abstract
OBJECTIVE: This Year 5 analysis of an open-label extension (OLE) study assessed radiographic progression, clinical efficacy, and safety of adalimumab with concomitant methotrexate (MTX) for patients with active rheumatoid arthritis. METHODS: In a double-blind study (DE019, NCT00195702), inadequate responders to MTX were randomized to MTX plus either adalimumab 40 mg eow, adalimumab 20 mg weekly, or placebo for 52 weeks. Eligible patients entered an ongoing OLE and received adalimumab 40 mg eow plus MTX. Longterm efficacy and safety were evaluated. RESULTS: Of 457 patients who had enrolled in the OLE, 304 remained in the study at Year 5, including 112, 107, and 85 from the original adalimumab 40 mg, adalimumab 20 mg, and placebo groups, respectively. Year 5 radiographs demonstrated mean changes in modified total Sharp score for the original adalimumab 40 mg eow and 20 mg weekly groups of 0.8 and 2.6, respectively, versus 3.9 for placebo; 58% from the adalimumab 40 mg eow group had no radiographic progression versus 40% of those who initially received placebo. Of patients who received adalimumab 40 mg eow for 5 years, 26.1% achieved clinical remission (Disease Activity Score 28-joint count < 2.6), had no radio graphic progression (change in modified total Sharp score ≤ 0.5), and had normal function (Health Assessment Questionnaire ≤ 0.5), versus 11.9% of those who initially received placebo. Serious infection rate for 553 patients who received at least one dose of adalimumab was 4.4/100 patient-years. CONCLUSION: A 52-week delay in adding adalimumab to MTX led to worse radiographic, functional, and clinical outcomes at Year 5 for most patients who initially received placebo instead of adalimumab.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.007 |
| 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".