Annual Medical Costs and Healthcare Resource Use in Patients with Systemic Sclerosis in an Insured Population
Bibliographic record
Abstract
OBJECTIVE: In a phase 2 study, to assess the efficacy and safety of pegsunercept, a soluble tumor necrosis factor receptor type I, for the treatment of rheumatoid arthritis (RA). METHODS: Patients were randomized to receive weekly subcutaneous injections of placebo (n = 61) or active drug [400 microg/kg (n = 67) or 800 microg/kg (n = 66)] for 12 weeks. The primary efficacy endpoint was American College of Rheumatology 20% response (ACR20) at Week 12. Secondary efficacy measures included ACR50 and ACR70 responses, and changes in individual ACR components at Week 12. Safety assessments included summaries of adverse events including infectious episodes. RESULTS: Treatment with pegsunercept resulted in a significantly higher ACR20 response at Week 12 in the 800 microg/kg group (45%) compared with the placebo group (26%; p = 0.020). The treatment effect of pegsunercept (both doses) over the study period showed statistically significant improvement for most ACR components and health related quality of life, with the 800 microg/kg group showing greater clinical improvements in efficacy measures. The overall incidence of adverse events and infectious episodes was similar among the treatment and placebo groups. CONCLUSION: In this 12 week dose-finding study of 194 patients, weekly subcutaneous dosing with pegsunercept showed beneficial effects in improving the signs and symptoms of RA. It appeared to be safe and well tolerated in this small number of patients. Significant clinical improvements were seen in patients in the 800 microg/kg group; however, this dose may be suboptimal, and further evaluation of this product with higher doses or a more frequent dosing regimen is warranted.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".