Real-world treatment patterns for repository corticotropin injection in patients with rheumatoid arthritis
Bibliographic record
Abstract
Introduction: Gel) is a naturally sourced mixture of adrenocorticotropic hormone analogues and other pituitary peptides with anti-inflammatory and immunomodulatory effects. In a recent clinical trial, RCI was safe and effective for the treatment of refractory rheumatoid arthritis (RA). This study aims to describe real-world use and outcomes of patients with RA who were prescribed RCI in clinical practice through retrospective analysis of an electronic medical record database. Methods: electronic medical record repository, representing approximately 100 rheumatology practices. Demographics, medications, comorbidities, disease histories, laboratory evaluations, clinical outcomes and patient-reported outcomes were evaluated from 12 months pre-RCI to 12 months post-RCI initiation. Results: =63) comprised predominantly white women, aged 54 years on average, at 6 years from RA diagnosis, with high disease activity at baseline according to Clinical Disease Activity Index (CDAI) and Routine Assessment of Patient Index Data 3 (RAPID3) scores. Within the 12 months pre-RCI initiation, 87% of patients were prescribed disease-modifying antirheumatic drugs and 67% were prescribed glucocorticoids. Twelve months post-RCI initiation, glucocorticoid, opioid and non-steroidal anti-inflammatory drug prescriptions decreased; disease-modifying antirheumatic drug prescriptions remained stable. Reductions in CDAI, RAPID3, physician global assessment, tender joint count, swollen joint count, and pain visual analogue scale scores were observed 12 months post-RCI initiation. Few discontinuations were due to side effects. Study limitations included small sample size and incomplete electronic medical record data. Conclusion: These findings support the safety and effectiveness of RCI for short-term adjunctive treatment of refractory RA and provide patient-management insights from routine clinical practice.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".