Outcomes of Allogeneic Stem Cell Transplant in Patients with Relapsed/Refractory Hodgkin Lymphoma
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to evaluate real-world clinical outcomes and transplant-related complications of allogeneic stem cell transplantation (alloSCT) for Hodgkin lymphoma (HL). METHODS: This was a single-centre, retrospective analysis of relapsed and refractory (R/R) HL patients who received an alloSCT between 1 January 2016 and 29 February 2024 in Hamilton, Ontario. The primary endpoint was overall survival (OS). The secondary endpoints were progression-free survival (PFS), non-relapse mortality (NRM), and graft-versus-host disease/relapse-free survival (GRFS). RESULTS: Twenty-one patients were identified, with thirteen (62%) pre-treated with programmed death 1 (PD-1) blockade with either nivolumab or pembrolizumab. Seventeen (81%) patients underwent related haploidentical donor transplants, while four (19%) patients received a matched unrelated donor transplant. The 2-year OS and PFS rates were 79% (95% CI: 53-92%) and 63% (95% CI: 37-81%), respectively. Trends towards improved OS, PFS, NRM, and GRFS in PD-1-inhibitor-exposed patients were observed. All PD-1-inhibitor-exposed patients who were in complete remission proceeding to alloSCT remained alive at the last follow-up visit. Among the nine patients in partial remission at the time of alloSCT, three deaths were reported, with a 2-year OS of 61%. CONCLUSIONS: Our outcome data of a single-centre, heavily pre-treated cohort of Canadian patients confirm that alloSCT with post-transplant cyclophosphamide-based immunosuppression, which has been associated with improvements in PFS, remains a safe and feasible treatment option for patients with R/R HL in the era of checkpoint inhibitor use.
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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 | 0.001 | 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".