Otoprotective Effects of Sodium Thiosulfate by Demographic and Clinical Characteristics: A Report From Children's Oncology Group Study ACCL0431
Bibliographic record
Abstract
BACKGROUND: ACCL0431 was a randomized clinical trial that demonstrated efficacy of sodium thiosulfate (STS) for preventing cisplatin-induced hearing loss (CIHL) among patients 1-18 years old. The purpose of this study was to evaluate possible differential STS otoprotection among patient subgroups. PROCEDURE: This secondary analysis included ACCL0431 participants treated with cisplatin and randomized to receive STS or not (observation). Hearing status was obtained at 4 weeks and 12 months post cisplatin therapy (SIOP Ototoxicity Scale). Cumulative incidence of CIHL (Grade 1+) was assessed across age, sex, race/ethnicity, cancer diagnosis, and cisplatin infusion duration. Associations between these variables and CIHL were assessed using multivariable logistic regression. Interaction terms were used to evaluate potential heterogeneity in STS effect sizes across subgroups. RESULTS: Among evaluable participants (n = 121), CIHL incidence was 22.4% with STS and 54.0% with observation. Odds of developing CIHL were greatest among children less than 5 years versus older (randomization-adjusted odds ratio [OR] 2.94, 95% CI: 1.30-7.14) and those with neuroblastoma, hepatoblastoma, or medulloblastoma versus germ cell tumor or osteosarcoma (age- and randomization-adjusted OR 11.26, 95% CI: 3.08-47.35). STS otoprotective effect sizes were also greatest in the same highest risk groups by age (<5 years: OR 0.08, 95% CI: 0.02-0.32; ≥5 years: OR 0.39, 95% CI: 0.15-1.06) and cancer diagnosis (neuroblastoma/hepatoblastoma/medulloblastoma: OR 0.1, 95% CI: 0.02-0.45; germ cell tumor/osteosarcoma: OR 0.32, 95% CI: 0.06-1.25). Significant otoprotection from STS was noted across other subgroups with varied magnitudes of effect. CONCLUSIONS: STS otoprotection appears to differ across clinically meaningful subgroups, particularly age at diagnosis. These results inform clinical decision-making and future research.
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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 | 0.002 | 0.006 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".