Sudden Unexpected Death in Infancy and Childhood Due to Undiagnosed Neoplasia
Bibliographic record
Abstract
Sudden unexpected death due to clinically undiagnosed neoplasia in infancy and childhood (SUDNIC) is a rare phenomenon, with only small numbers of cases reported in the literature. In the majority of instances, the tumors involve critical structures within the heart or central nervous system and include gliomas, medulloblastomas, rhabdomyomas, and neoplasms of stromal elements. A 20-year retrospective review of autopsy records from the Hospital for Sick Children, Toronto, was performed (1984-2003, n = 4926), and 7 cases of SUDNIC were identified (0.14%). In addition, 1 case was obtained from the files of the Children's and Women's Health Centre of British Columbia, Vancouver. Diagnoses included 2 cases of acute leukemia (1 myelogenous, 1 lymphoblastic), 2 cases of mediastinal lymphoblastic lymphoma (pre-T cell type), 1 papillary fibroelastoma of the mitral valve prolapsing into and totally occluding the left anterior descending coronary artery, 1 medulloblastoma, 1 Wilms tumor associated with fatal intraperitoneal hemorrhage, and 1 widely disseminated gastric carcinoma. These cases demonstrate that infants and children may have minimal or no symptoms in the presence of significant disease and highlight the need for a thorough autopsy examination in cases of sudden unexpected death in infancy and childhood.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 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".