Cost-Effectiveness of Acthar Gel versus Standard of Care for the Treatment of Advanced Symptomatic Sarcoidosis
Bibliographic record
Abstract
Introduction: Sarcoidosis is a multisystem, inflammatory, systemic granulomatous disease with unknown etiology. Despite the current standard of care (SoC), there is an unmet need for the treatment of advanced symptomatic sarcoidosis. This study assessed the cost-effectiveness of Acthar ® Gel (repository corticotropin injection) versus SoC in patients with advanced symptomatic sarcoidosis from the United States (US) payer and societal perspectives over 2 and 3 years. Methods: A probabilistic cohort-level state-transition approach was used for this cost-effectiveness analysis. Patients were monitored at the end of a 3-month cycle for the attainment of partial or complete response. Patients in the partial, complete, or no-response state were allowed to transition in each of these states at each 3-month cycle. Following the attainment of response, patients could have a durable response or relapse to a no-response state. Patients in a no-response state received treatment and could transition into a response or no-response state based on the probability of treatment success with the respective treatment. Clinical parameters and health utility data were sourced from the Acthar Gel in Participants with Pulmonary Sarcoidosis (PULSAR) trial (NCT03320070) and healthcare utilization, costs, and disutilities were sourced from the published literature. Base case analysis considered a payer perspective over 2 years. Results: From a payer perspective, Acthar Gel versus SoC results in an incremental cost-effectiveness ratio (ICER) of $134,796 per quality-adjusted life-year (QALY) and $39,179 per QALY over 2 and 3 years, respectively. From a societal perspective, Acthar Gel versus SoC results in an ICER of $117,622 per QALY and $21,967 per QALY over 2 and 3 years, respectively. Sensitivity analysis findings were consistent with the base case. Conclusion: The results from this cost-effectiveness analysis indicate that Acthar Gel is a cost-effective, value-based treatment option for advanced symptomatic sarcoidosis compared to the SoC from the US payer and societal perspectives. Keywords: Acthar ® Gel, cost-effectiveness analysis, incremental cost-effectiveness ratio, repository corticotropin injection, sarcoidosis, quality-adjusted life-years
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".