ATRT-36. META-ANALYSIS OF TREATMENT MODALITIES IN METASTATIC ATYPICAL TERATOID/RHABDOID TUMORS IN CHILDREN
Bibliographic record
Abstract
Metastatic central nervous system (CNS) atypical teratoid/rhabdoid tumors (AT/RT) in children represent around 20% of newly-diagnosed AT/RT cases, and are associated with dismal prognosis. We investigated the efficacy of different treatment modalities associated with best outcomes in the management of metastatic AT/RT. A comprehensive analysis of 2,122 peer-reviewed manuscripts revealed 45 studies with a total of 132 metastatic AT/RT patients. Additionally, 8 patients were included from chart review performed at Nationwide Children’s Hospital. The 3-year overall survival (OS) was 26% (95% confidence interval (CI): 18–34%). Age at diagnosis significantly impacted the OS (p=0.0225); the 3-year OS for patients <18 months was 21%, compared to 28% for patients 18–36 months and 33% for patients >36 months. Gross total resection of the primary tumor was not associated with significant improvement in the OS (p = 0.866). On univariate analysis, radiation therapy (RT), intrathecal chemotherapy (IT), and marrow-ablative chemotherapy followed by autologous hematopoietic progenitor cell rescue (AuHPCR) had a significant impact on OS, respectively (p<0.0001, p<0.05, p<0.0001). These results were further supported by multivariable analysis, in which RT (p<0.0001), IT (p=0.0227), and AuHPCR (p<0.0001) were all independently associated with reduced risk of death. Multimodal treatment approach should be incorporated in the management of metastatic AT/RT in children, and may include AuHPCR with adjuvant RT and IT. Given the rarity of published research focused on metastatic AT/RT, these conclusions may be an important step towards the creation of standard treatment guidelines for metastatic AT/RT patients.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".