MG-143 Age is significantly associated with the bone marrow engraftment in patients with allogeneic stem cell transplantation
Bibliographic record
Abstract
<h3>Objectives</h3> Allogeneic stem cell transplantation is a curative therapy for patients with haematological malignancies and nonmalignant haematological disorders. Measuring the bone marrow engraftment via donor chimerism following transplantation is often used as a predictor for the overall survival. However, prognostic factors associated with bone marrow engraftment are poorly understood. The objective of this study is to evaluate the effect of age, gender and the recipient-donor relationship on the extent of bone marrow engraftment following transplantation and thereby provide more precise counselling to patients. <h3>Methods</h3> The bone marrow engraftment was routinely monitored using the multiplex fluorescent short tandem repeat analysis. Complete engraftment is defined as ≥95% of both donor-derived white blood cells and T cells. Data from a cohort of 194 patients with various conditions and up to 10 years of follow up was retrospectively analysed. Logistic regression and survival analyses were performed using the R statistic software. <h3>Results</h3> 64.9% of patients reached complete engraftment, ˜70% out of which achieved this milestone within 2 years post-transplantation; but 6.3% of these patients relapsed. Gender and recipient-donor relationship (related or not, same sex or not) did not have significant effect on the probability and the time for reaching complete engraftment. Age was inversely related to the probability of complete engraftment. The older the patient was, the less likely he/she achieved complete engraftment (p value 0.0015), and the longer time took for reaching complete engraftment (p value 0.0009). <h3>Conclusion</h3> Age is significantly associated with the likelihood and time for reaching complete engraftment.
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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".