Allogeneic haematopoietic stem‐cell transplantation for relapsed and refractory aggressive histology non‐Hodgkin lymphoma*
Bibliographic record
Abstract
Forty-four patients with relapsed or refractory aggressive histology non-Hodgkin lymphoma (NHL) (diffuse large B cell, n = 23; peripheral T cell, n = 5; transformed B cell, n = 16) proceeded to allogeneic stem cell transplant (allo-SCT) between 1987 and 2003. Median age at transplant was 40 years (range 19-56 years). At the time of transplant, 35 were chemosensitive and nine were chemorefractory. Thirty-three patients had matched sibling donors and 11 had unrelated donors. Forty-two patients (95%) received radiation-based conditioning regimens. Event-free survival (EFS) and overall survival (OS) at 5 years was 43% [95% confidence interval (CI): 27-58%] and 48% (95% CI: 32-63%) respectively. Treatment-related mortality was 25% at 1 year. Grade III-IV acute graft-versus-host disease (GVHD) was the only significant variable affecting OS and EFS, and had a negative impact. Chronic GVHD did not influence survival. Lymphoma relapse <12 months after initial therapy predicted for increased risk of relapse post-transplant (P = 0.02). Patients with chemorefractory lymphoma were not at increased risk of relapse (P = 0.20) with four of nine patients remaining alive without disease 12-103 months post-transplant. In conclusion, allo-SCT for relapsed or refractory aggressive histology NHL results in long-term EFS and OS of 40-50%. Patients with chemorefractory disease can have a durable remission post-transplant.
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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".