Carboplatin‐based primary chemotherapy for infants and young children with CNS tumors
Bibliographic record
Abstract
Abstract BACKGROUND: A carboplatin‐based chemotherapy regimen was used as primary postoperative therapy in infants with central nervous system (CNS) tumors to limit renal and ototoxicity and to target systemic exposure. METHODS: Fifty‐three patients aged RESULTS: The response rate after 2 cycles of chemotherapy was 34% (complete response, 13.8%; partial response, 20.7%). Myelosuppression was the dominant toxicity; 2 patients had toxic deaths related to thrombocytopenia with trauma. The 5‐year overall survival (OS) was 49% ± 7%, and the progression‐free survival (PFS) was 31% ± 7%, with a median follow‐up of 11.4 years (range, 5.2‐15.0 years). For medulloblastoma, the 5‐year PFS was 26% ± 9%; for EP it was 33% ± 10%; for CPCA it was 80% ± 18%; and for primitive neuroectodermal and atypical teratoid rhabdoid tumors it was 0%. Localized EP patients with gross total resection who did not undergo radiotherapy had a 5‐year PFS of 57% ± 17% and OS of 71% ± 16%. Two patients developed late second malignancies; 1 was associated with germline p53 mutation. CONCLUSIONS: The results confirm that carboplatin has similar activity to cisplatin in otherwise similar regimens. Five‐year survival data are comparable to those reported in other recent studies, including high‐dose chemotherapy studies. Of note is the marked activity in CPCA and gross totally resected EP. Cancer 2009. © 2009 American Cancer Society.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".