Unrelated donor transplants in adults with Philadelphia-negative acute lymphoblastic leukemia in first complete remission
Bibliographic record
Abstract
We report the retrospective outcomes of unrelated donor (URD) transplants in 169 patients with acute lymphoblastic leukemia (ALL) in first complete remission (CR1) who received transplants between 1995 and 2004. Median age was 33 years (range, 16-59 years). A total of 50% had a white blood cell count (WBC) more than 30 x 10(9)/L, 18% extramedullary disease, 42% achieved CR more than 8 weeks from diagnosis, 25% had adverse cytogenetics, and 19% had T-cell leukemia. A total of 41% were HLA well-matched, 41% partially matched with their donors, and 18% were HLA-mismatched. At 54-month median follow-up, incidences of acute grade 2-IV, III to IV, and chronic graft-versus-host disease were 50%, 25%, and 43%, respectively. Five-year treatment-related mortality (TRM), relapse, and overall survival were 42%, 20%, and 39%, respectively. In multivariate analyses, TRM was significantly higher with HLA-mismatched donors and T-cell depletion. Relapse risk was higher if the diagnostic WBC was more than 100 x 10(9)/L. Factors associated with poorer survival included WBC more than 100 x 10(9)/L, more than 8 weeks to CR1, cytomegalovirus seropositivity, HLA mismatching, and T-cell depletion. Nearly 40% of adults with ALL in CR1 survive 5 years after URD transplantation. Relapse risks were modest; TRM is the major cause of treatment failure. Selecting closely HLA-matched URD and reducing TRM should improve results.
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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 | 0.002 |
| 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".