Old Tools in a New Era: The Continued Relevance of Chemotherapy in Pediatric Neuro-Oncology
Bibliographic record
Abstract
Conventional chemotherapy continues to form the backbone of treatment for many pediatric central nervous system (CNS) tumors. Advances have been made especially in the molecular underpinning of certain pediatric CNS tumors, allowing for advancement and consideration in incorporating this molecular information in molecular targeted therapy or appropriate de-escalation or escalation of therapy. In very young children with embryonal CNS tumors, intensive high-dose chemotherapy approaches have been used with varied increased survival in medulloblastoma, atypical teratoid rhabdoid tumor (ATRT), and rare embryonal subtypes, but there are certain molecular risk groups that require new therapies, such as the ATRT MYC subtype. Some CNS tumors remain resistant or refractory to conventional chemotherapy, especially in relapsed disease. Strategies to explore combination therapies with chemotherapy, novel agents, and novel approaches are needed to improve survival in this population in the future.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".