<p>Treatment with Repository Corticotropin Injection in Patients with Rheumatoid Arthritis, Systemic Lupus Erythematosus, and Dermatomyositis/Polymyositis</p>
Bibliographic record
Abstract
PURPOSE: Repository corticotropin injection (RCI) is indicated for a number of autoimmune-mediated diseases including rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and dermatomyositis (DM)/polymyositis (PM). To better understand the practice patterns and outcomes of RCI in patients with RA, SLE, or DM/PM, we conducted a retrospective medical record analysis. PATIENTS AND METHODS: Participating providers selected deidentified medical records of patients meeting the inclusion criteria (age ≥18 years; physician-reported diagnosis of RA, SLE, or DM/PM; initiation of treatment with RCI between 1/1/2011 and 2/15/2016; ≥3 in-office visits with same site/provider). Collected data spanned 12 months before and after the first prescription date for RCI. Analyses included patient demographics and clinical history, RCI treatment patterns, and physician's impression of change. RESULTS: Data from 54 patients with RA, 30 patients with SLE, and 8 patients with DM/PM were analyzed. The most frequently reported reasons for initiating RCI were lack of efficacy with prior treatment, acute exacerbation of disease, and use as add-on to ongoing therapy. The most common initial RCI dosing, 80 U twice weekly, was used for 84% of patients with RA, 75% with SLE, and 86% with DM/PM. The mean duration of treatment was 4.8, 6.5, and 6.8 months for RA, SLE, and DM/PM, respectively. Among the 57 patients with data on physician's impression of change with RCI, 78.1% of patients with RA, 94.7% with SLE, and 66.7% with DM/PM had a rating of "improved," and the mean time to best impression of change was 3.4, 4.3, and 3.4 months for RA, SLE, and DM/PM, respectively. CONCLUSION: This study reports the real-world patient profile, use patterns, and outcomes of patients who used RCI for the treatment of RA, SLE, and DM/PM. These data can inform appropriate use and clinical expectations when using RCI.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".