NCO-10INTELLECTUAL OUTCOME IN MOLECULAR SUBGROUPS OF MEDULLOBLASTOMA
Bibliographic record
Abstract
BACKGROUND: Medulloblastoma subgroups have distinct demographic, genetic and clinical features, yet their respective intellectual outcomes are unknown. With the advent of subgroup-specific therapy de-escalation strategies, it is critical to characterize intellectual functioning in each subgroup according to treatment intensity. METHODS: One hundred and twenty one patients with medulloblastoma (51 Group 4; 25 Group 3; 28 SHH; 17 WNT), treated between 1991 and 2013 at the Hospital for Sick Children (Toronto, Canada), Children's National Medical Center (Washington, DC) or the Lucile Packard Children's Hospital (Palo Alto, CA), had longitudinal intellectual functioning evaluations. First, we compared IQ measures between subgroups, controlling for relevant clinical and demographic variables. Next, we evaluated the effect of: a) radiation intensity (i.e. reduced-dose radiation with a focal tumor bed boost vs. treatments with higher radiation doses and/or larger boost volumes), and b) mutism, on full scale IQ (FSIQ) in each subgroup. Growth curve analysis was used to determine stability or change in IQ scores over time. RESULTS: Subgroups declined comparably in all IQ measures except processing speed (PS). SHH had lower baseline PS, and declined less, than Groups 3 and 4 (all P < 0.05). Mutism was a significant covariate for all IQ measures (all P < 0.05). Across all subgroups, patients treated with higher intensity protocols declined in FSIQ (all P < 0.01). In WNT and Group 4, reduced-dose radiation with a focal tumor bed boost was associated with improved (P = 0.005) and stable FSIQ, respectively. Group 3 and SHH patients showed non-significant declines in FSIQ (all P > 0.05). Although FSIQ decline did not differ according to mutism status for any subgroup (all P > 0.05), Group 3 patients with mutism had lower baseline FSIQ (P = 0.014). CONCLUSION: Therapy de-escalation appears to be a suitable way to achieve optimal intellectual functioning in patients with WNT and Group 4 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".