Remission in Early Rheumatoid Arthritis — A Comparison of New ACR/EULAR Remission Criteria to Established Criteria
Bibliographic record
Abstract
OBJECTIVE: To describe the frequency of remission in an early rheumatoid arthritis (ERA) cohort. METHODS: The frequency of remission was evaluated, based on 8 definitions including the Boolean-based American College of Rheumatology/European League Against Rheumatism (ACR/EULAR) criteria. RESULTS: Of 369 patients, remission at 12 months ranged from 18% according to the ACR/EULAR clinical trial criteria to 40% according to the 28-joint Disease Activity Score (DAS28) < 2.6. Higher tender joint count, swollen joint count, and physician global scores were seen for DAS28-based definitions, and patient global assessment (PtGA) scores were almost 5-fold higher for DAS28 remission. CONCLUSION: Remission is achievable in ERA but its frequency differs according to the remission definition applied. Adoption of the new ACR/EULAR definition will limit the number classified as in remission, especially if the PtGA criteria are rated high for reasons other than inflammatory arthritis.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".