Venetoclax and azacitidine in untreated patients with therapy-related acute myeloid leukemia, antecedent myelodysplastic syndromes or chronic myelomonocytic leukemia
Bibliographic record
Abstract
Secondary acute myeloid leukemia (sAML), a subset of AML, may arise from antecedent hematologic disorders (antecedent myelodysplastic syndrome or chronic myelomonocytic leukemia [A-MDS/CMML]) or complication of prior cytotoxic chemotherapy or radiation therapy (therapy-related AML [tAML]) [ 1 ]. It comprises about 25% to 35% of AML cases, occurring more frequently with age [ 2 ]. Rising incidence of sAML is potentially related to increased survival from prior malignancies, greater use of chemotherapy, and improved reporting of myeloid malignancies [ 2 ]. sAML is frequently associated with adverse genetics, including TP53 mutations, which are associated with poor outcomes in myeloid malignancies [ 2 , 3 ]. Compared with primary AML, sAML is associated with unfavorable outcomes regardless of age, posing unique clinical challenges [ 4 , 5 ].
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.009 |
| 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; 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".