Reducing the Risk for Transplant Related Mortality After Allogeneic Hematopoietic Cell Transplantation: How Much Progress Has Been Made?.
Bibliographic record
Abstract
Abstract Abstract 649 TRM is among the major challenges for the success of HCT. Over the past two decades advances in the prevention and treatment of the major sources of TRM; regimen related toxicity, graft-versus-host disease (GVHD) and infections, have been made. To estimate the combined effect of these advances over time, we assessed changes in the incidence of TRM from 1985 through 2004 in 5,972 patients younger than 50 years, who received bone marrow (BM) or peripheral blood (PB) HCT with myeloablative conditioning for AML in first (CR1) or second (CR2) complete remission reported to the Center for International Blood and Marrow Transplant Research (CIBMTR). The incidence of TRM was determined for four consecutive five-year periods for HLA-matched sibling donors (MRD) and the later three for unrelated donor (URD) separately by donor type and disease status at transplant. Cox proportional hazard regression models of TRM and overall survival outcomes were constructed with time periods as the main effect. Adjustments for patient and disease characteristics including age, performance score, coexistent diseases and cytogenetics were made in all multivariate models. Subgroup analyses were performed to account for the influence of major changes in transplant characteristics over time, i.e. GVHD prophylaxis, graft source and HLA matching. We observed a steady drop in the risk of TRM over time among patients in CR1 and CR2 receiving MRD transplants, which was associated with a significant reduction in risk of death (table below). Among URD recipients, TRM also improved with lower RR in 2000-2004 compared to earlier periods. No improvements in long term OS was observed in URD CR1 group. For patients in CR2, the RR for overall mortality was 0.74 (0.6-0.9, p=0.03) for 2000-2004 compared to 1990-1994. Subgroup analyses restricted to recipients of BM grafts, cyclosporine/methotrexate for all transplants and partially HLA-matched grafts for URD resulted in similar trends, suggesting that improvements in TRM were not solely related to utilization of PB, newer GVHD prophylaxis or better HLA matching. In conclusion, our results demonstrate lower risk for TRM over time in patients receiving HCT from MRD and URD for AML in CR1 and CR2. These reductions in risk of TRM have been accompanied by reduced risk of overall mortality in most groups of patients studied. 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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".