Treating Rheumatoid Arthritis to Target
Bibliographic record
Abstract
BACKGROUND: Recently, many countries, including Canada, evaluated rheumatologists' acceptance and agreement with a set of 10 Treat to Target (T2T) recommendations for rheumatoid arthritis (RA), developed by an international task force. In this study, the Canadian T2T steering committee evaluated how Canadian patients with RA perceive these recommendations. OBJECTIVES: The objectives of this study were to assess the current state of RA management in Canada from a patient perspective and to assess whether and to what extent Canadians with RA agree with each of the 10 T2T recommendations and to compare the results with a previous survey completed by physicians. METHODS: Participating rheumatologists were asked to invite consecutive RA patients to complete a 20-question survey. The survey was designed to assess relevant sociodemographic variables, the current treatment, and the approach to RA management as seen from the patient's perspective, as well as their agreement with the T2T recommendations. RESULTS: A total of 959 patients (77% were female) were recruited by 22 participating rheumatologists from 6 Canadian provinces. Patients had a mean age of 59.1 years and mean disease duration of 12.9 years. Approximately 72% of patients were on methotrexate (76.1% combination therapy), and 36.7% were treated with biologics (6.4% monotherapy, 30.3% combination therapy). The agreement with T2T recommendations ranged from 8.6 for recommendation 4 (frequency of adjustment of drug therapy) to 9.5 for recommendation 8 (maintenance of treatment targets). These results are comparable to a previous physicians' survey except that there was more acceptance on the part of patients for more frequent visits (recommendation 5; patient agreement score was 9.06 vs physician agreement score of 6.92) and evaluations for adjustments of therapy (recommendation 6 patient agreement score was 9.39 vs physician agreement score of 7.49) to achieve the stated goal. CONCLUSIONS: The results of this survey showed that Canadian patients are being treated for their RA according to the published treatment recommendations with combination disease-modifying antirheumatic drugs and biologics and a small percentage with oral corticosteroids. The majority of patients seems to be satisfied with their management and is in agreement with the T2T recommendations, although they tended to place greater emphasis than did physicians on flexibility of visit frequency and detailed assessments.
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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 | 0.009 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".