Upfront Combination Therapy With Rituximab and Mycophenolate Mofetil for Progressive Systemic Sclerosis
Bibliographic record
Abstract
To the Editor: Systemic sclerosis (SSc) is a complex disease involving multiple pathophysiological pathways: autoimmunity, vasculopathy, and fibrosis, all of which are interrelated. Most of the damage consists of skin and lung fibrosis, and is accumulated within the first 2 years of disease in rapidly progressive patients with a serology of anti-SCL-70 or anti–RNA polymerase III (RNAP3)1. Indeed, this group of patients carry a great risk of morbidity and excess mortality. A combination “induction” therapy at an early stage—a window of opportunity—in which it is still possible to change the course of disease in this group of patients, is logical. We report herein our recent experience with early upfront combination therapy for progressive SSc, directed at different aspects of disease: iloprost for treating vasculopathy, rituximab (RTX) for blocking B cells, and mycophenolate mofetil (MMF) for inhibiting T cells. Until recently, the gold … Address correspondence to Dr. D. Rimar, Rheumatology Unit, Bnai Zion Medical Center, POB 4940, Haifa, 31048 Israel. Email: doronrimar{at}gmail.com.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".