Treatment of high-risk neuroblastoma: National protocol results of the Turkish Pediatric Oncology Group
Bibliographic record
Abstract
BACKGROUND: The national protocol aimed to improve the outcome of the high risk neuroblastoma patients by high-dose chemotherapy and stem cell rescue with intensive multimodal therapy. MATERIALS AND METHODS: After the 6 induction chemotherapy cycles, patients without disease progression were nonrandomly (by physicians' and/or parent's choices) allocated into two treatment arms, which were designed to continue the conventional chemotherapy (CCT), or myeloablative therapy with autologous stem cell rescue (ASCR). RESULTS: Fifty-six percent (272 patients) of patients was evaluated as high risk. Response rate to induction chemotherapy was 71%. Overall event-free survival (EFS) and overall survival (OS) at 5 years were 28% and 36%, respectively. "As treated" analysis documented postinduction EFS of 41% in CCT arm (n = 138) and 29% in ASCR group (n = 47) (P = 0.042); whereas, OS was 45% and 39%, respectively (P = 0.05). Thirty-one patients (11%) died of treatment-related complications. CONCLUSION: Survival rates of high-risk neuroblastoma have improved in Turkey. Myeloablative chemotherapy with ASCR has not augmented the therapeutic end point in our country's circumstances. The adequate supportive care and the higher patients' compliance are attained, the better survival rates might be obtained in high-risk neuroblastoma patients received myeloablative chemotherapy and ASCR.
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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 | 0.013 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".