Allogeneic Hematopoietic Cell Transplantation Can Cure Some Patients with Acute Leukemia in Relapse or Primary Induction Failure: A CIBMTR Study.
Bibliographic record
Abstract
Abstract Abstract 528 Acute leukemia refractory to chemotherapy is uniformly fatal without hematopoietic cell transplantation (HCT). However, the benefit of transplantation for patients not in complete remission (CR) is controversial. PATIENTS AND METHODS: 2,255 patients transplanted (at 252 centers in 38 countries) with an allogeneic donor after myeloablative conditioning regimen between 1995 and 2004 for acute leukemia in relapse or with primary induction failure were reported to the Center for International Blood and Marrow Transplant Research (CIBMTR). 1,673 had acute myeloid leukemia (AML) and 582 acute lymphoblastic leukemia (ALL). Median age was 38 and 29 years for AML and ALL patients, respectively. Presence of circulating blasts, >25% marrow blasts, Karnofsky score < 90 %, or transplant in first relapse was observed in nearly half of the patients (see Table). RESULTS: 100 day mortality was 39% in AML and 41% in ALL. The median follow-up of survivors was 5 years. Overall survival (OS) was 19% (95% confidence interval (CI) 17-21) for AML and 16% (13-20) for ALL patients. For AML patients, five adverse pre-transplant variables significantly impacted OS : first CR duration < 6 months, blasts in the blood, donor other than HLA-identical sibling or partially matched unrelated, Karnofsky score < 90%, poor-risk cytogenetics. 106 AML patients had none of these high risk criteria, with a 3 years OS of 44% (35-54). For ALL patients, survival was worse with either: 1st refractory or ' 2nd relapse, ≥ 25% marrow blasts, CMV seropositive recipient, age ≥10 years. 8 ALL patients had no high risk criteria, with a 3 years OS of 85% (53-100). Grade 3-4 acute graft-vs-host disease (GVHD) occurred in 23% of AML and 27% of ALL patients. Chronic GVHD developed in 27%. Leukemia was the cause in 42 % of AML and 37% of ALL patients' deaths. CONCLUSIONS: 1. HCT can cure some patients with acute leukemia in relapse or with PIF, particularly those lacking defined high risk features. 2. These pre-transplant variables should be considered when deciding whether or not to offer HCT to such patients. Disclosures: No relevant conflicts of interest to declare.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".