Autologous Hematopoietic Stem Cell Transplant for Systemic Sclerosis Improves Anemia from Gastric Antral Vascular Ectasia
Bibliographic record
Abstract
To the Editor: Systemic sclerosis (SSc) is a severe autoimmune condition characterized by both fibrotic and vascular complications. This can progress to functionally devastating subcutaneous fibrosis, as well as death from pulmonary, cardiac, renal, or gastrointestinal (GI) involvement1. High-dose chemotherapy followed by autologous hematopoietic stem cell transplantation (HSCT) is the first therapy to show evidence of clinically significant improvement in skin and lung function as well as quality of life in SSc when compared to intravenous cyclophosphamide (CYC)2. The multi-center, phase III randomized trial, Autologous Stem Cell Transplantation International Scleroderma, also showed a significant benefit in longterm, event-free survival with autologous HSCT compared to CYC, despite a higher early treatment-related mortality3. A publication from the European Group for Blood and Marrow transplantation (EBMT) has updated guidelines for autologous HSCT in autoimmune diseases, including SSc4. GI involvement is the presenting feature of the disease … Address correspondence to Dr. A. Bhattacharyya, St. Vincent’s Hospital, Haematology, 390 Victoria St., Sydney, New South Wales 2010, Australia. E-mail: abir123{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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".