Natural course of low risk neuroblastoma
Bibliographic record
Abstract
BACKGROUND: Neuroblastoma is characterized by heterogeneity of histology, biology, and clinical behavior. Most epidemiology studies are based on Western and Japanese populations; there are very few studies on neuroblastoma from Southeast Asia. PROCEDURE: Cases of Thai children with neuroblastoma were retrospectively reviewed to determine if the epidemiology of the disease differs from Western populations. Sixty-two cases were assembled from two pathology centers in Bangkok. Histologic prognostic category and MYCN copy number were determined. RESULTS: The median age at diagnosis was 2.9 years. Only 11% of cases presented at less than 1 year of age and 12% cases had low stage disease (1, 2, and 4S). The majority of tumors had unfavorable histology (48/62); this was at least partly due to the higher age at diagnosis for most patients. MYCN amplification was detected in 18/52 (35%) tumors, all in stage 3 or 4 tumors. We assigned patients to high, intermediate and low risk categories using the Children's Oncology Group risk stratification criteria. In contrast to Western studies, the majority of cases (50/59 or 85%) in our series had high risk disease. CONCLUSIONS: Since there is no evidence to date that the biology of neuroblastoma varies by geographic region, the paucity of low risk cases in our study may reflect spontaneous resolution/differentiation of tumors that are not clinically detected. Moreover, a delay in diagnosis of intermediate risk cases could result in higher tumor burden at the time of diagnosis, increasing the proportion of high risk cases observed.
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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) | 0.000 | 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) | 0.001 | 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".