Pretransplantation Consolidation Chemotherapy Decreases Leukemia Relapse after Autologous Blood and Bone Marrow Transplants for Acute Myelogenous Leukemia in First Remission
Bibliographic record
Abstract
Controversy exists over whether pretransplantation consolidation chemotherapy affects the outcome of subsequent autotransplantation for acute myelogenous leukemia (AML). The current study was undertaken to determine the association between previous consolidation and outcome of autotransplantation for AML in first remission. Posttransplantation outcomes of 146 patients receiving no consolidation were compared with those of 244 patients receiving standard-dose (<1 gm/m(2)) and 249 patients receiving high-dose (1-3 gm/m(2)) cytarabine, using proportional hazards regression to adjust for differences in prognostic variables. One-year transplantation-related mortality was similar among the cohorts. Five-year relapse rates were 49% (95% confidence interval CI} = 39%-58%) with no consolidation, 35% (95% CI = 29%-42%) with standard-dose cytarabine, and 40% (95% CI = 33%-48%) with high-dose cytarabine (P = .07). Five-year leukemia-free survival rates were 39% (95% CI = 30%-47%) with no consolidation, 53% (95% CI = 46%-60%) with standard-dose cytarabine, and 48% (95% CI = 40%-56%) with high-dose cytarabine (P = .03). Similarly, 5-year overall survival was better in those patients receiving consolidation: 42% (95% CI = 34%-51%) with no consolidation, 59% (95% CI = 52%-65%) with standard-dose cytarabine, and 54% (95% CI = 46%-61%) with high-dose cytarabine (P = .01). Although most patients received 1 or 2 cycles of consolidation, the number of courses had no detectable effect on transplantation outcome. In multivariate analysis, risks of relapse and treatment failure were lower in the patients receiving consolidation, especially among those patients receiving blood cell grafts. Outcomes with standard-dose and high-dose cytarabine were similar. Based on our findings, we recommend that patients with AML in first remission receive consolidation before undergoing autotransplantation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".