Long-Term Outcome of Eltrombopag With First-Line Immunosuppressive Therapy for Newly Diagnosed Severe Aplastic Anemia
Bibliographic record
Abstract
Background: To investigate whether the addition of eltrombopag (EPAG) to rabbit anti-thymocyte globulin (ATG)-based immunosuppressive therapy (IST) for newly diagnosed severe aplastic anemia (SAA) improves outcomes and affects the cumulative incidence of clonal evolution (CE), we conducted a multicenter retrospective analysis. Methods: Data were collected from 101 patients, aged 15 - 65 years, undergoing initial IST. Results: No significant imbalance in age, sex, or severity was observed between the EPAG (n = 20) and non-EPAG (n = 81) groups. The median duration of EPAG administration in EPAG group was 16.1 months (range: 0.6 - 41.1 months). Six months after the initiation of IST, the complete response (CR) rate significantly improved in the EPAG group (P < 0.01). The cumulative incidence of allogeneic stem cell transplantation (allo-SCT) at 2 years and the 2-year overall survival (OS) were not significantly different between the two groups (allo-SCT, P = 0.31; OS, P = 0.64). Grade 3-4 adverse events in the EPAG group and the cumulative incidence of CE (P = 0.96) showed no increase. Conclusion: In summary, IST showed significantly better initial efficacy in the EPAG group. Although the addition of EPAG did not reduce the need for allo-SCT, no increase was observed in the incidence of CE with long-term EPAG use.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 teacher head, 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".