A Phase I/II study of the safety and efficacy of the addition of sirolimus to tacrolimus/methotrexate graft <i>versus</i> host disease prophylaxis after allogeneic haematopoietic cell transplantation in paediatric acute lymphoblastic leukaemia (ALL)
Bibliographic record
Abstract
Sirolimus has been shown to have activity against human acute lymphoblastic leukaemia at serum levels used for immunosuppression. We hypothesized that the addition of sirolimus to a tacrolimus/methotrexate graft-versus-host disease (GVHD) prophylaxis regimen would decrease relapse after haematopoietic stem cell transplantation and initiated a phase I/II study to demonstrate safety, feasibility, and efficacy. The study cohort included 18 patients in high-risk (HR) first complete remission (CR1), 16 in HR CR2, 17 in intermediate risk (IR) CR2, and 12 in CR3+. The 2-year event-free survival (EFS) of the cohort was 66% (standard error 6.4). EFS of risk groups was 74%, 81%, 44% and 46% for CR1, IR CR2, HR CR2 and CR3+ patients respectively, and did not differ by stem cell source. Cumulative incidence of acute GVHD grade II-IV and III-IV was 38% and 21% respectively, while the cumulative incidence of chronic GVHD was 32%. Cumulative incidence of transplant-related mortality and relapse was 10% and 25% respectively. Significant toxicities included veno-occlusive disease [seven patients (11%)], transplant-associated microangiopathy (three patients), and idiopathic pneumonitis (one patient). In summary, sirolimus-based GVHD prophylaxis can be given safely in this population and early survival results are promising. A phase III trial to test whether sirolimus decreases relapse and improves outcome after transplantation for ALL is ongoing.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".