Repository corticotropin injection as adjunctive therapy in patients with rheumatoid arthritis who have failed previous therapies with at least three different modes of action
Bibliographic record
Abstract
OBJECTIVE: Many types of treatment are available for patients with rheumatoid arthritis (RA), however, some patients fail to achieve remission. This report aims to determine the safety and efficacy of using repository corticotropin injection (RCI) as an adjunctive therapy in patients with RA refractory to at least three therapeutics with different mechanisms of action. METHOD: In this open-label, interventional, single-group study, patients received 80 U RCI twice weekly via subcutaneous injection over 12 weeks. Changes in the Ritchie-Camp Articular Index and health assessment questionnaire scores were monitored for changes from baseline measures. RESULTS: Eight patients were enrolled and consisted of seven females and one male with an average age of 64.6 years and disease duration of 20.9 years. Use of RCI resulted in significant improvement in swollen and tender joint counts. The disease activity score 28 and the physician and patient visual analog scale scores were significantly reduced at treatment week 12. The reduction in health assessment questionnaire scores did not reach statistical significance after RCI treatment. Once RCI therapy was discontinued, all improvements in disease activity score 28, physician and patient visual analog scale, and tender and swollen joint counts achieved during treatment were lost by the week 16 follow-up visit. CONCLUSION: While larger clinical trials are necessary to further confirm the efficacy of RCI in patients with refractory RA, the response of patients with refractory RA in this study suggests that RCI can be an effective add-on therapy for patients who have exhausted several classes of treatments. Furthermore, this study suggests that RCI has an alternative mode of action, compared to other available antirheumatic drugs.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.002 | 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".