Cost and Resource Use of Pemphigus and Pemphigoid Disorders Pre- and Post-Rituximab
Bibliographic record
Abstract
BACKGROUND: Rituximab (RTX) is increasingly used for the treatment of pemphigus and pemphigoid disorders. The high cost of RTX frequently limits its use and access. OBJECTIVE: To determine the health system resources and costs associated with RTX treatment of pemphigus and pemphigoid. METHODS: Health system resources and costs attributed to a convenience sample of 89 patients with either pemphigus or pemphigoid were identified, quantified, and valued 6 months prior to and following RTX initiation between May 2006 and August 2012. Overall cohort costs and costs per patient were calculated (2013 Can$). RESULTS: The overall cohort cost for 6 months pre-RTX was $3.8 million and for 6 months post-RTX was $2.6 million. The average cost per patient decreased from $42,231 to $29,423 (30.3% decrease). The main cost driver was intravenous immunoglobulin. CONCLUSIONS: Our findings suggest that RTX is effective in reducing health system resources and the costs associated with the treatment of pemphigus and pemphigoid.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".