Patients with Rheumatoid Arthritis in the Australian OPAL Cohort Show Significant Improvement in Disease Activity over 5 Years: A Multicenter Observational Study
Bibliographic record
Abstract
OBJECTIVE: To evaluate disease activity trends in a large cohort of Australian patients with rheumatoid arthritis (RA) from 2009 to 2014. METHODS: This is a multicenter, cross-sectional, noninterventional study of patients with RA treated in Australia. Patients with RA treated at participating OPAL (Optimising Patient outcome in Australian RheumatoLogy) clinics were included in the study. Data, deidentified by patient, clinic, and clinician, were identified using a purpose-written electronic medical record. Patient demographics, disease onset, medications, and disease measures were analyzed. The Disease Activity Score at 28 joints (DAS28) was used to classify patients into the disease activity states of remission: low disease activity, moderate disease activity (MDA), and high disease activity. Choice of therapy was at the discretion of the treating clinician. RESULTS: At the time of analysis, the database contained 15,679 patients with RA, 8998 of whom fulfilled the inclusion criteria. Mean age was 63.2 years, mean disease duration was 13.8 years, and the majority were women (72.4%). A total of 37,274 individual DAS28-erythrocyte sedimentation rate scores were recorded for the 8998 patients. The frequency of remission increased significantly from 36.7% in 2009 to 53.5% in 2014 (p < 0.001), and that of MDA decreased from 33% (2009) to 22.2% (2014). The use of biologic disease-modifying antirheumatic drugs for the patients in remission increased from 17% in 2009 to 36.9% in 2014. CONCLUSION: Contemporary management of RA in Australia shows improvements in disease activity toward the target of remission over a 5-year period.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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".