Association of tympanostomy tubes with future assistive hearing devices–a population based study
Bibliographic record
Abstract
BACKGROUND: Ear (tympanostomy) tube (TT) placement is a common ambulatory surgery in children. Despite the commonality of this treatment, the long-term effects are unknown. The objective of this study was to determine the rate of permanent hearing loss, as measured by use of a rehabilitative hearing device. METHODS: A retrospective comprehensive population-based cohort study was performed, evaluating all hospitals in the Canadian province of Ontario. Three cohorts of children were constructed: TT - at least one ear tube procedure (n = 193,880), No-TT -recurrent visits to a physician for middle ear disease, did not undergo ear tubes (n = 203,283), and Control - an age/sex matched group who had not undergone ear tubes and who didn't have repeat physician visits for middle ear disease (n = 961,168). The main outcome measures were risk and odds ratio (OR) of rehabilitative hearing devices. RESULTS: The TT cohort had a higher risk of obtaining a hearing aid (OR 4.53 vs. No-TT, p < 0.001; OR 10.81 vs. Control, p < 0.001), an FM system (OR 3.84 vs. No-TT, p < 0.001; OR 15.13 vs. Control, p < 0.001), and an implanted bone conduction device (OR 5.08 vs. No-TT, p < 0.001; OR 15.67 vs. Control, p < 0.001). CONCLUSIONS: An association between ear tube placement and long-term need for a rehabilitative hearing device was found. This association warrants future prospective research in this area.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".