Factors Associated With Maintenance of Remission Following Change From Combination Therapy to Monotherapy in Patients With Rheumatoid Arthritis
Bibliographic record
Abstract
OBJECTIVE: Some patients with rheumatoid arthritis (RA) who persist in remission may decide to stop their therapy. We evaluated baseline characteristics associated with remaining in remission or low disease activity (LDA) following medication withdrawal. METHODS: The Study of Etanercept and Methotrexate in Combination or as Monotherapy in Subjects With Rheumatoid Arthritis (SEAM-RA) was a phase III, multicenter, randomized withdrawal, double-blind, controlled study in patients with RA on methotrexate (MTX) + etanercept (ETN). If remission (Simplified Disease Activity Index [SDAI] ≤ 3.3) was sustained through a 24-week run-in period, patients then entered a 48-week double-blind period and were randomized 2:2:1 to receive MTX monotherapy, ETN monotherapy, or continue combination therapy. Multivariate logistic regression analysis was performed to identify baseline factors associated with remission or LDA at the end of both periods. RESULTS: Of 371 patients enrolled, 253 entered the double-blind period. After adjusting for other factors, covariates associated with achieving SDAI remission at the end of the run-in period included younger age, longer duration of MTX treatment, and less severe clinical disease variables. Covariates associated with maintaining remission/LDA at the end of the 48-week double-blind period included lower patient global assessment of disease activity (PtGA), lower C-reactive protein, rheumatoid factor (RF) negativity, longer RA duration in the MTX arm, shorter duration of ETN treatment, and lower magnesium. CONCLUSION: These findings indicate patients with overall lower disease activity are more likely to remain in SDAI remission/LDA after switching from combination therapy to monotherapy. RF-negative status and lower PtGA scores were strongly associated with increased likelihood of remaining in remission/LDA with MTX or ETN monotherapy. (SEAM-RA; ClinicalTrials.gov: NCT02373813).
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".