Ototoxicity From Cisplatin Therapy in Childhood Cancer
Bibliographic record
Abstract
Cisplatin has been associated with hearing damage. It is usually irreversible, bilateral, and characterized by high-frequency sensorineural hearing loss. This study was carried out to identify impairment of hearing function in children and adolescents with cancer after cisplatin therapy. Twenty-three survivors of childhood cancer treated with cisplatin at our Unit from 1991 to 2004 performed tympanometry, pure tone audiometry, transient otoacoustic emissions, and distortion product otoacoustic emissions (DPOAE). The median age at diagnosis was 12.3 years and the median total dose of cisplatin received was 406 mg/m2. Fifty-two percent of patients had bilateral and in the high frequencies range hearing loss on audiometry. Transient otoacoustic emission and DPOAE abnormalities were detected in 22% and in 71% of the patients, respectively. We found a high concordance between the findings of audiometry and DPOAE (P=0.01). There was no influence of sex and number of ototoxic drugs other than cisplatin on hearing loss. There was a trend for younger age and higher cumulative dose of cisplatin to be associated with greater severity of hearing damage. Our data provide further evidence on hearing damage due to cisplatin therapy in children. The high incidence of patients with hearing function abnormalities found in this study and in previous reports highlights the importance of monitoring hearing function in children and adolescents undergoing cisplatin therapy, or as early as possible at follow-up. This study also demonstrates that DPOAE should be used for screening of hearing abnormalities and, once hearing damage is identified, patients require expert audiologic pediatric evaluation and (where indicated) use of hearing aids and/or speech therapy.
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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 | 0.001 |
| 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) | 0.000 | 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".