Patient‐reported outcomes in a randomized trial comparing four different treatment strategies in recent‐onset rheumatoid arthritis
Bibliographic record
Abstract
OBJECTIVE: To investigate the effectiveness of 4 different treatment strategies for recent-onset rheumatoid arthritis (RA) on 2-year patient-reported outcomes, including functioning and quality of life. METHODS: A total of 508 patients with recent-onset RA were randomly assigned to 1) sequential monotherapy, 2) step-up combination therapy, both starting with methotrexate, 3) initial combination therapy, including a tapered high-dose prednisone, or 4) initial combination therapy with methotrexate and infliximab. Treatment was adjusted every 3 months if the Disease Activity Score (DAS) remained >2.4. The McMaster Toronto Arthritis Patient Preference Disability Questionnaire, the Short Form 36 (SF-36), and scores for pain, global health, and disease activity measured on a 100-mm visual analog scale (VAS) were compared between groups at baseline and every 3 months thereafter for 2 years. RESULTS: After 2 years, all patient-reported outcomes had improved significantly from baseline, irrespective of the treatment strategy. SF-36 subscale scores approached population norms for 3 physical components, and achieved population norms (P > 0.05) for bodily pain and 4 mental components. Improvement in functioning, VAS scores, and physical items of the SF-36 occurred significantly earlier in patients treated with initial combination therapies (all comparisons after 3 months: overall P < 0.001; P < 0.05 for groups 1 and 2 versus groups 3 and 4). CONCLUSION: All 4 DAS-driven treatment strategies resulted in substantial improvements in functional ability, quality of life, and self-assessed VAS scores after 2 years. Initial combination therapy led to significantly faster improvement in all patient-reported measures.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".