QOL-44. EARLY SEVERE HEARING LOSS IN CANADIAN CHILDREN WITH CENTRAL NERVOUS SYSTEM TUMORS: A POPULATION-BASED COHORT STUDY
Bibliographic record
Abstract
Abstract BACKGROUND Severe treatment-related hearing loss (HL) is associated with devastating psychosocial/neurocognitive outcomes. Children with central nervous system (CNS) tumors are highly vulnerable to severe HL due to tumor location and treatment exposures. This is the first study to report national CNS tumor-specific rates and predictors of early severe HL. METHODS We conducted a retrospective, population-based cohort study of all children ≤15yrs at diagnosis with CNS tumors between 2001-2019 using the Cancer in Young People in Canada registry. The primary outcome was Common Terminology Criteria for Adverse Events grade 3/4 HL ≤5yrs following diagnosis. We determined prevalence and probabilities of early HL; predictors were determined using multivariable logistic regression models. RESULTS Among 3,201 children with CNS tumors, 5.1% experienced early HL. Children with medulloblastoma (N=570) and ATRT/other embryonal tumors (N=269) experienced disproportionate rates (16.1%, 15.2%, respectively); 85.4% (medulloblastoma) and 68.8% (ATRT/other embryonal) received cisplatin, 74.6% (medulloblastoma) and 52.1% (ATRT/other embryonal) were irradiated. In children with medulloblastoma, when controlling for follow-up, age <=5yrs at diagnosis [odds ratio (OR) 2.4, 1.5-3.8], radiation (OR 3.5, 1.6-7.6), and cisplatin (OR 20.4, 1.3-329.7) predicted early HL. In children with medulloblastoma post cisplatin, age ≤5yrs at diagnosis doubled the probability of early HL in both irradiated (29.8%, vs 15.3% if >5yrs at diagnosis) and non-irradiated patients (10.6% vs 4.8% if >5yrs at diagnosis). In children with ATRT/other embryonal, cisplatin (OR 28.2, 1.7-472.1) was the only predictor of early HL. CONCLUSIONS In the largest population-based study of early severe HL in children with CNS tumors, we report striking rates in children with embryonal tumors. Younger irradiated children had disproportionate probabilities of early HL, suggesting a novel additive interaction between age at diagnosis and radiation. Standardized otoprotection and research focusing on therapy de-escalation in young children with embryonal tumors are urgently needed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".