Natural history of hearing loss in children with enlarged vestibular aqueduct syndrome.
Bibliographic record
Abstract
OBJECTIVE: To determine the natural history of hearing loss in children with enlarged vestibular aqueduct (EVA) syndrome. DESIGN: (1) Retrospective cohort study and (2) systematic literature review. SETTING: Tertiary pediatric centre. METHODS: (1) Charts of children assessed by one physician between 1993 and 2000 were reviewed. (2) Source articles were identified by a search of Medline, Embase, and the Cochrane Library of the English-language literature through January 2006, with manual review of references. The search was limited to English, human, and age less than 18 years. MAIN OUTCOME MEASURES: Pure-tone average. Hearing was classified as stable, progressive and fluctuating. RESULTS: (1) Twenty-one children (39 ears) with EVA were identified. Eighty-two percent of ears had stable hearing, and 18% of ears demonstrated progressive hearing loss. (2) Seven source articles were identified and combined with the present data for a total of 310 ears with a mean follow-up of 4 years. Bilateral EVA was found to be six times more common than unilateral EVA, and there was an equal male to female ratio. Stable hearing was found in 67% of ears and progressive hearing loss in 33% of ears. Subgroup analysis demonstrated hearing fluctuations in 50% of progressive hearing loss ears and 34% of stable ears. CONCLUSIONS: Stable hearing is observed in 67% of ears with EVA of which 34% will demonstrate fluctuations in hearing. Progression of hearing loss is seen in 33% of ears of which half will demonstrate fluctuations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".