Immunosuppressive Therapy Without Hematopoietic Growth Factor Exposure in Pediatric Acquired Aplastic Anemia
Bibliographic record
Abstract
Immunosuppressive therapy (IST) is recommended for children with acquired aplastic anemia (AA) who lack a human leukocyte antigen (HLA)-matched sibling donor for hematopoietic cell transplantation (HCT). Hematopoietic growth factors have often been included in IST supportive care, but prolonged exposure may increase the risk of secondary clonal evolution. The authors evaluated response, survival, and the incidence of clonal evolution following cyclosporine-based IST without hematopoietic growth factor exposure in a population-based pediatric cohort, identified retrospectively. Forty-five patients with a median age of 7.3 years (range 1.2-17.0 years) were included. Partial (PR) and complete (CR) response was achieved in 82% and 64%, at a median of 55 days (range 11-414 days) and 7.6 months (range 2.8-82.2 months), respectively. Patients with associated seronegative hepatitis had an increased likelihood of PR and CR on multivariate analyses (PR: hazard ratio [HR] 3.15, 95% confidence interval [CI] 1.40, 7.11; CR: HR 2.99, 95% CI 1.35, 6.62), whereas older children were less likely to achieve IST response than children younger than 5 years at diagnosis. Five- and 10-year overall survival was 96% ± 4% and 90% ± 7%, respectively, and 5-year failure-free survival was 63% ± 8%. There was no infection-related mortality, although 16.4% of patients had at least 1 episode of documented bacteremia. The 5-year cumulative incidence of relapse was 12.9% and of clonal evolution was 3.2%. The authors conclude that children with AA who receive IST without hematopoietic growth factor support have excellent response and survival outcomes and a low incidence of clonal evolution.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".