Duration of the pre‐diagnostic interval in medulloblastoma is subgroup dependent
Bibliographic record
Abstract
BACKGROUND: Children presenting with medulloblastoma have a wide range of initial presenting symptoms. However, the influence of underlying tumor biology on the initial presentation of medulloblastoma is currently unknown. In light of the recent discovery of distinct medulloblastoma subgroups, we sought to define the initial presentation of childhood medulloblastoma in a subgroup specific manner. PROCEDURE: We assembled a cohort of 126 medulloblastoma cases at the Hospital for Sick Children between 1994 and 2012 and determined subgroup affiliation using nanoString. Clinical details pertaining to the initial presentation were determined through a retrospective chart review. RESULTS: The median pre-diagnostic interval across all medulloblastoma cases was 4 weeks (IQR: 4-12 weeks). Strikingly, when the pre-diagnostic interval was then determined in a subgroup specific manner, cases with WNT and Group 4 tumors showed significantly longer median pre-diagnostic intervals of 8 weeks compared to 2 weeks for SHH and 4 weeks for Group 3 (P = 0.0001). Younger age was significantly associated with a prolonged pre-diagnostic interval (P = 0.02 for all). When stratifying by subgroup the association with age was only significant in Group 4 (P = 0.04 for Group 4). Improved survival was significantly associated with a longer pre-diagnostic interval (P = 0.02), however is no longer significant when controlling for subgroup (P = 0.07). CONCLUSIONS: The duration of the pre-diagnostic interval in childhood medulloblastoma is highly subgroup dependent, further highlighting the clinical heterogeneity and biological relevance of the four principle subgroups of medulloblastoma.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".