Treatment-Related Myelodysplasia and Acute Leukemia in Non-Hodgkin’s Lymphoma Patients
Bibliographic record
Abstract
PURPOSE: Standard therapies for non-Hodgkin's lymphoma (NHL) are associated with an increased risk of developing treatment-related myelodysplastic syndrome or acute myelogenous leukemia (tMDS/AML). However, there is considerable debate over the incidence or risk of tMDS/AML in NHL patients treated with any particular modality and the factors that contribute to malignant transformation. DESIGN: Conclusions were based on thorough analysis of data reported in the peer-reviewed literature and careful examination of the statistical methodology and methods for identifying cases of tMDS/AML. Unless noted, data are reported only for NHL patients, excluding Hodgkin's disease patients. RESULTS: Despite differences in methods used to identify cases and to estimate the cumulative incidence over time (actuarial v cumulative calculations), up to 10% of NHL patients treated with either conventional-dose chemotherapy or high-dose therapy and autologous stem-cell transplantation may develop tMDS/AML within 10 years of primary therapy. Kaplan-Meier estimates of the actuarial incidence, which are based on censoring of patients who died without developing tMDS/AML, can lead to artificially high estimates with large confidence intervals at later time points. Although there is much debate about the cause(s) of tMDS/AML, there is compelling evidence that alkylating agents, certain other leukemogenic agents, and total-body irradiation (TBI) cause chromosomal damage that can lead to tMDS/AML. CONCLUSION: Limiting exposure to alkylating agents and eliminating TBI from transplantation conditioning regimens may reduce the relative risk of tMDS/AML.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.010 | 0.002 |
| 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 | 0.003 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".