A decade of experience using <scp>ATG</scp> and <scp>PTCy</scp> for graft‐versus‐host disease prophylaxis in matched unrelated donor allogeneic haematopoietic cell transplantation
Bibliographic record
Abstract
Anti-thymocyte globulin (ATG) and post-transplant cyclophosphamide (PTCy) are both effective drugs for graft-versus-host disease (GvHD) prophylaxis, but their combined use remains underexplored. We conducted a retrospective analysis of 582 patients with haematological malignancies who underwent unrelated donor transplantation with Status GvHD prophylaxis consisting of low-dose ATG (2 mg/kg) and PTCy over a 10-year period. The median time to neutrophil and platelet engraftment was 18 days (95% CI, 17-19) and 20 days (95% CI, 19-21) respectively. The cumulative incidence of grade III-IV acute Status GvHD at D+100 was 7% (95% CI: 5-9), and the 24-month incidence of moderate-to-severe chronic GvHD was 15.7% (95% CI: 13-19). Clinically significant cytomegalovirus (CMV) and Epstein-Barr virus (EBV) reactivation by D+180 occurred in 20.4% (95% CI: 17-24) and 22.7% (95% CI: 19-26) respectively. At 24 months, the cumulative incidence of NRM was 16.2% (95% CI: 13-19), and relapse was 21.3% (95% CI: 18-25). Graft-versus-host disease-free, relapse-free survival (GRFS) at 24 months was 49% (95% CI: 44-53), and overall survival (OS) was 68.3% (95% CI: 64-72). Our decade-long experience supports the safety and efficacy of combining low-dose ATG with PTCy for GvHD prophylaxis in unrelated donor transplantation. These findings warrant further validation in prospective studies.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".