Recent advances in acute lymphoblastic leukemia in children and adolescents
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
PURPOSE OF REVIEW: Acute lymphoblastic leukemia (ALL) is the most common form of childhood leukemia, representing 75% to 80% of cases of acute leukemia among children. Dramatic improvements in the cure rates and survival outcomes for children with ALL have been seen over the past several decades; currently the 5-year survival rate for childhood ALL is more than 80%. These improvements have come about because of advances in the understanding of the molecular genetics and pathogenesis of the disease, incorporation of risk-adapted therapy, and the advent of new targeted agents. RECENT FINDINGS: Scientific advances have provided new insights into leukemogenesis, drug resistance, and host pharmacogenomics, identified novel subtypes of leukemia, and suggested potential targets for therapy. At the same time novel monoclonal antibodies, small molecule inhibitors, chemotherapeutics, and cell-based treatment strategies have been developed and investigated. SUMMARY: In this article, experts will discuss some of the current challenges and future directions in the treatment of pediatric ALL. The authors will offer expert guidance to practicing oncologists on how to best incorporate newer treatment approaches into the care of children and adolescents with ALL. The most important ongoing clinical trials in the area will also be reviewed.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 | 0.001 |
| 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 it