Post-Transplant Cyclophosphamide Combined with Anti-Thymocyte Globulin as Graft-versus-Host Disease Prophylaxis for Allogeneic Hematopoietic Cell Transplantation in High-Risk Acute Myeloid Leukemia and Myelodysplastic Syndrome
Bibliographic record
Abstract
BACKGROUND: Allogeneic hematopoietic cell transplantation (HCT) is curative for high-risk acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) but with significant non-relapse mortality (NRM) and relapse. We compared the combination of anti-thymocyte globulin (ATG; 4.5 mg/kg) and post-transplant cyclophosphamide (PTCy; 50 mg/kg on day +3 and +4) with other graft-versus-host disease (GvHD) prophylaxis regimens used for these patients. METHODS: We retrospectively analyzed 159 patients, aged 22-73 (median 56) years, having undergone transplantation for high-risk AML (n = 120) or MDS (n = 39). The donors were matched related (33%), unrelated (55%) and haploidentical (12%). Almost all patients used peripheral blood stem cells. Conditioning was myeloablative (34%) or reduced intensity (66%). ATG + PTCy was used in 69 patients (43%), and other GvHD prophylaxis regimens in 90 patients (57%). RESULTS: Grade III-IV acute GvHD occurred in 4% of the ATG + PTCy patients versus 20% of those using other regimens (p = 0.004), and chronic GvHD in 19% of the ATG + PTCy patients versus 41% of those using other regimens (p = 0.003). Two-year GvHD-free relapse-free survival (GRFS) was 30% with ATG + PTCy versus 18% with other regimens (p = 0.04). Multivariable analysis demonstrated that while ATG + PTCy had no significant influence on overall survival, cumulative incidence of relapse or NRM, there was a significant influence on GRFS in favor of ATG + PTCy (HR = 0.69, 95% CI 0.45-0.99, p = 0.04). CONCLUSIONS: We conclude that the ATG + PTCy combination significantly improved GRFS in allogeneic HCT for high-risk AML and MDS without influencing other outcomes.
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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 | 0.000 | 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) | 0.001 | 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".