Acthar Gel (RCI): A Narrative Literature Review of Clinical and Economic Evidence
Bibliographic record
Abstract
Gel (repository corticotropin injection [RCI]) is a naturally sourced complex mixture of adrenocorticotropic hormone analogs and other pituitary peptides used to treat patients with serious and rare inflammatory and autoimmune conditions. This narrative review summarizes the key clinical and economic findings among 9 indications: infantile spasms (IS), multiple sclerosis (MS) relapses, rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), dermatomyositis and polymyositis (DM/PM), ocular inflammatory diseases (primarily uveitis and severe keratitis), symptomatic sarcoidosis, and proteinuria in nephrotic syndrome (NS). Key studies of clinical efficacy and healthcare resource utilization and cost from 1956 to 2022 are discussed. Evidence supports the efficacy of RCI across all 9 indications. RCI is recommended as first-line treatment for IS and is associated with improved outcomes for the other 8 indications, including increased recovery rates in MS relapse; improved disease control in RA, SLE, and DM/PM; real-world effectiveness in patients with uveitis and severe keratitis; improved lung function and reduced corticosteroid use in symptomatic sarcoidosis; and increased rates of partial remission of proteinuria in NS. For many indications, RCI may improve clinical outcomes during exacerbations or when conventional treatments have failed to show a benefit. RCI is also associated with a reduction in the use of biologics, corticosteroids, and disease-modifying antirheumatic drugs. Economic data suggest RCI is a cost-effective, value-based treatment option for MS relapse, RA, and SLE. Other economic benefits have been demonstrated for IS, MS relapses, RA, SLE, and DM/PM, including reduced hospitalizations, lengths of stay, inpatient and outpatient services, and emergency department visits. RCI is considered safe and effective and features economic benefits for numerous indications. Its ability to control relapse and disease activity makes RCI an important nonsteroid treatment option that could help preserve functioning and well-being among patients with inflammatory and autoimmune conditions.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".