Minimal disease activity, remission, and the long‐term outcomes of rheumatoid arthritis
Bibliographic record
Abstract
OBJECTIVE: To determine the prevalence of minimal disease activity (MDA) and remission in patients with rheumatoid arthritis (RA), to assess the effect of anti-tumor necrosis factor (anti-TNF) therapy on MDA, and to determine the extent to which MDA status improves long-term outcomes. METHODS: Using the Patient Activity Scale (PAS) as a surrogate, we assessed the prevalence of MDA and remission in 18,062 patients with RA using the newly developed Outcome Measures in Rheumatology Clinical Trials (OMERACT) criteria for MDA. RESULTS: MDA was noted in 20.2% of 18,062 patients and persistent MDA, operationally defined as having MDA during >or=2 consecutive 6-month observation periods, occurred in 13.5% of 7,433 patients followed longitudinally. Disease activity at remission levels was noted in 7%. Among patients with MDA, 82% received disease-modifying antirheumatic drugs or biologic agents. Following anti-TNF initiation, the cumulative probability of achieving MDA at 2 and 6 years was 4.1% and 7.6%, respectively, and persistent MDA probabilities were 2.7% and 4.5%, respectively. Regardless of RA duration, patients with MDA had substantially better outcomes, including a 10-fold reduction in work disability and an approximately 2-fold reduction in total joint replacement and mortality. CONCLUSION: Remission remains uncommon in RA, and the prevalence of new remission in community practice is substantially lower than noted in published trials of biologic therapy. On average, persons with MDA appear to have persistently mild RA. This might be the effect of milder RA and/or more effective treatment in early RA. The PAS had satisfactory levels of agreement with the full MDA criteria and appears suitable for use in clinical and epidemiologic research.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".