Pediatric acute myeloid leukemia: towards high-quality cure of all patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Prognosis of childhood acute myeloid leukemia (AML) has improved significantly over the past decades, from nearly no child surviving to a present probability of cure of approximately 60%. However, this can only be achieved using very intensive chemotherapy which results in relatively high rates of treatment related deaths and significant late effects. This review summarizes current and future classification of pediatric AML, ongoing phase III studies, and subgroup-directed treatment. In addition, the possibilities for more precise risk-group stratification which would allow more tailored and further refined subgroup-directed treatment are discussed. These include minimal residual disease monitoring, pharmacogenomics and the detection of AML-specific molecular abnormalities. Finally, we discuss the opportunities for innovative therapy in pediatric AML, such as the use of novel analogues, monoclonal antibody-mediated drugs, and receptor tyrosine kinase inhibitors. Given the enormous increase in our understanding of the underlying biology of AML, and the development of many new targeted drugs, it should be possible to achieve high-quality cure in nearly all children and adolescents with AML within the next few decades.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it