Unrelated donor choices for allogeneic hematopoietic cell transplantation in Canada: an evaluation of factors influencing donor selection
Bibliographic record
Abstract
BACKGROUND: Utilization of unrelated donors and cord blood units (CBUs) for allogeneic hematopoietic cell transplantation continues to increase. Understanding the practices of donor selection by transplant centers is critical for unrelated donor registries and cord blood banks to optimize registry composition and inventory to meet patient need. STUDY DESIGN AND METHODS: Unrelated donor and CBU selection practices of Canadian transplant centers served by Canadian Blood Services' OneMatch Stem Cell & Marrow Network (OM) were reviewed, including HLA match level, locus of disparity, age, sex, and product choice (donor vs. CBU). RESULTS: HLA-matched donors within OM and/or international (INT) registries were preferentially investigated, underscoring the primary importance of HLA matching. In the case of HLA-mismatched donors, HLA-A disparities were most common while DRB1 mismatches were least common. Advanced age, sex, and lack of donor availability were the most frequent reasons that high-probability OM donors were overlooked in favor of INT donors. High-probability 10 of 10 HLA-matched female donors from OM were often avoided in favor of INT male donors. Use of female donors, however, increased in cases restricted to more HLA-disparate donor options. Caucasian patients were more likely to find 10 of 10 matched donors, whereas use of mismatched donors and CBUs were more prevalent among non-Caucasian patients. CONCLUSIONS: Recruitment and retention of young, male donors from diverse ethnic backgrounds may increase the usage of histocompatible OM donors for patients in need.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".