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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".