MEDU-34. INTELLECTUAL OUTCOME IN CHILDREN WITH SENSORINEURAL HEARING LOSS FOLLOWING TREATMENT FOR EMBRYONAL BRAIN TUMORS.
Bibliographic record
Abstract
BACKGROUND: Neurological side effects associated with childhood brain tumors and their treatments contribute to long term neurocognitive morbidity. The aims of this study were to identify the incidence of sensorineural hearing loss (SNHL) in a large sample of children treated for malignant embryonal brain tumors, and to evaluate the effect of SNHL on intellectual functioning following the completion of treatment. METHODS: We conducted a single center review of 119 prospectively followed patients treated for malignant embryonal brain tumors at the Hospital for Sick Children, between 1996–2015, to evaluate the impact of significant SNHL (Chang > 2b) on intellectual function. Hearing and intellectual function were assessed post-treatment, at comparable time points (median ages: hearing assessment 13.5y (+4.5); intellectual function 12.8y (+ 4.1)). The median interval since treatment was 5.9 y + 3.7. RESULTS: Significant SNHL was identified in half the patients (48.7%, n = 58/119), of which 53% required a hearing aid (31/58). We identified a subset of patients (n = 61) who had assessments of intellectual function. In these patients, intellectual function was significantly affected by severe SNHL, even after controlling for the effect of craniospinal radiation (severe SNHL 22.4 Gy + 13.3, no/mild hearing loss 20.4 Gy +12.8) and boost dose. Severe hearing loss resulted in lower overall IQ (severe SNHL: 72.4 + 16.6; no/mild hearing loss: 92.0 + 20.5) p<0.001 and in significantly lower verbal comprehension (severe SNHL: 78.7 + 15.9; no/mild hearing loss: 94.7 + 13.8) p<0.001, and working memory (severe SNHL: 78.2+ 17.6; no/mild hearing loss: 94.8 + 16.4) p<0.001. CONCLUSION: Hearing loss is a much more significant complication in children with embryonal tumors than previously estimated. We show the profound impact of hearing loss on intellectual deficit in children. Our results have major implications on future trial design of children being treated with intensive protocols.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".