Donor Cell Leukemia Following Allogeneic Hematopoietic Stem Cell Transplantation
Bibliographic record
Abstract
Approximately 25,000 allogeneic transplants are performed annually worldwide; a figure that has steadily increased over the past three decades. The study of transplant recipient survivorship has become a cogent topic and post-transplant donor cell pathology warrants further study. Donor cell leukemia (DCL) is a rare but serious complication of allogeneic stem cell transplantation (SCT) where the recipient develops a form leukemia originating from the donor cells used for transplantation. Detection of abnormalities predicting donor cell pathology might inform donor selection, and the design of survivorship programs for early detection of these abnormalities might allow therapeutic intervention earlier in the disease course. We present four recipients of allogeneic hematopoietic stem cell transplant (HSCT) from our institution who developed donor cell abnormalities allogeneic SCT, highlighting their clinical characteristics and challenges.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".