Acthar Gel in African Americans versus Non-African Americans with Symptomatic Sarcoidosis: Physician Assessment of Patient Medical Records
Bibliographic record
Abstract
Introduction: Gel is a viable option for the treatment of advanced symptomatic sarcoidosis. This study examined patient characteristics, Acthar Gel utilization, co-medication use, and treatment response based on physicians' assessments among African Americans versus non-African Americans with advanced symptomatic sarcoidosis. Methods: Data from the medical charts of patients were used. During data collection, patients had either completed ≥1 course or received treatment with Acthar Gel for ≥6 months. Results: This study comprised 168 African Americans and 104 non-African Americans. On average, the time since the first diagnosis of sarcoidosis was slightly longer among African Americans than non-African Americans (5.2 versus 4.3 years). Skin, heart, eyes, and joints were the most common extrapulmonary sites involved among both race groups. Shortness of breath, fatigue, bone and joint pain, and wheezing/coughing were the most frequent symptoms among both race groups. A higher proportion of African Americans versus non-African Americans were first-time Acthar Gel users and had not completed treatment during data collection. Patients in both race groups with higher starting doses of Acthar Gel therapy had a shorter treatment duration and vice-versa. A significantly lower proportion of patients among both race groups were on any co-medication after Acthar Gel initiation (p<0.0001). Further, a higher proportion of African Americans versus non-African Americans had a reduction in any co-medication use after Acthar Gel initiation. The mean daily dose of prednisone decreased among African Americans (18.5 to 10.1 mg) and non-African Americans (17.6 to 10.0 mg) after Acthar Gel initiation. Improvement in patient health status and overall symptoms was similar for both race groups. Conclusion: Findings suggest that Acthar Gel improves health outcomes for patients with sarcoidosis, which could help to alleviate health disparities among African Americans, who are disproportionately affected by this disease.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".