Cumulative incidence of subsequent malignancy after allo-HCT conditioned with or without low-dose total body irradiation
Bibliographic record
Abstract
Subsequent malignancies (SMs) present a significant burden of morbidity and are a common cause of late mortality in survivors of allogeneic hematopoietic cell transplant (allo-HCT). Previous studies have described total body irradiation (TBI) as a risk factor for the development of SMs in allo-HCT survivors. However, most studies of the association between TBI and SM have examined high-dose TBI regimens (typically ≥600 cGy), and thus little is known about the association between low-dose TBI regimens and risk of SMs. Our goal, therefore, was to compare the cumulative incidence of SMs in patients of Alberta, Canada, who received busulfan/fludarabine alone vs busulfan/fludarabine plus 400 cGy TBI. Of the 674 included patients, 49 developed a total of 56 malignancies at a median of 5.9 years' posttransplant. The cumulative incidence of SMs at 15 years' post-HCT in the entire cohort was 11.5% (95% confidence interval [CI], 8.5-15.6): 13.4% (95% CI, 9.1-19.3) in the no-TBI group and 10.8% (95% CI, 6.6-17.4) in the TBI group. In the multivariable model, TBI was not associated with SMs, whereas there was an association with number of pre-HCT cycles of chemotherapy. The standardized incidence ratio for the entire cohort, compared with the age-, sex-, and calendar year-matched general population, was 1.75. allo-HCT conditioning that includes low-dose TBI does not seem to increase risk of SMs compared with chemotherapy-alone conditioning.
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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 | 0.000 | 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) | 0.001 | 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".