Clinical Predictors of Cisplatin Chemoradiation-Induced Ototoxicity in HPV-Positive Oropharyngeal Squamous Cell Carcinoma: A Case-Control Study
Bibliographic record
Abstract
Background Cisplatin-based chemoradiation is a standard treatment for many patients with human papillomavirus (HPV)-positive oropharyngeal squamous cell carcinoma (OPSCC), an etiologically distinct subset of head and neck cancer. Although associated with good long-term survival, clinical risk factors for ototoxicity have been understudied in this population. This study aimed to evaluate clinical predictors associated with ototoxicity in HPV-positive OPSCC patients treated with cisplatin chemoradiation. Methods This retrospective case-control study included 201 adult patients (>18 years) with histologically confirmed HPV-positive OPSCC who received cisplatin chemoradiation as their primary treatment from 2001 and 2019 at a single tertiary cancer center. Ototoxicity was determined using baseline and follow-up audiometry and the Common Terminology Criteria for Adverse Events v5.0 grading criteria (Grade ≥2). Multivariable logistic regression [adjusted odds ratio (aOR)] identified significant predictors that increased the odds of ototoxicity. Results A total of 201 patients [165 males; median (IQR) age, 57 (11) years] were included in the study. The incidence of ototoxicity in the worst ear was 56.2%, with the greatest hearing loss occurring at high frequencies (4-8 kHz), resulting in a loss of 12.5 dB at 4 to 6 kHz and 20 dB at 6 to 8 kHz. High-dose cisplatin administration compared to weekly administration [aOR 4.93 (95% CI: 1.84-14.99), P = .003], a higher mean cochlear radiation dose [aOR 1.58 (95% CI: 1.12-2.30), P = .01], smoking history [aOR 2.89 (95% CI: 1.51-5.63), P = .001], and a 10 year increase in age [aOR 2.07 (95% CI: 1.25-3.52), P = .006] were each independently associated with increased odds of ototoxicity. Conclusions Clinical predictors of ototoxicity in HPV-positive OPSCC patients treated with cisplatin-based chemoradiation include the use of a high-dose cisplatin regimen, higher cochlear radiation doses, a history of smoking, and older age. With the rising incidence of this malignancy in Western countries and overall improved survivorship, our research motivates future studies into risk stratification and earlier interventions to mitigate and reduce the risk of ototoxicity.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".