Conventional and multi-frequency tympanometric norms for Caucasian and Chinese school-aged children
Bibliographic record
Abstract
Objectives: The present study used tympanometric parameters to evaluate application of the current norms in Caucasian and Chinese school-aged children. The goals of this study were 1) to establish normative tympanometric data for school-aged children; 2) to determine whether the results vary significantly between Caucasian and Chinese children, male and female children, and children and adults; and 3) to compare normal paediatric tympanometric data with tympanometric data obtained from children with middle-ear pathology. Design: Tympanometry was measured in 98 subjects with normal middle-ear function with an average age of 5.8 years. There were a total of 66 participants who had abnormal middle-ear condition with a mean age of six years. Control group subjects were recruited from elementary schools in the Greater Vancouver area. Subjects with middle-ear effusion (MEE) were consisted of two groups. Those with confirmed middle-ear effusion (21 subjects) classified as “OTL confirmed” and those who recruited at elementary schools (eight subjects) were classified as “not OTL confirmed”. Statistical analysis (mixed-model ANOVA) was performed for effects of gender, ethnicity (Caucasian versus Chinese), age (child versus adult), and middle-ear condition. Conventional 226-Hz and multi-frequency tympanometry performed using GSI- Tympstar tympanometer (v. 2). . Results: Vanhuyse patterns were single peak (1B1G) at 226-Hz probe-tone frequency, but more complex patterns (e.g. 1B3G) were observed at higher probe-tone frequencies. Chinese school-aged children had lower Vea and Ytm, wider TW, and higher RF values than did Caucasian school-aged children. Diseased group tympanometric data was significantly different from normal group data. Statistical comparison of the area under receiver operating characteristic curve (AUROC) plots revealed that Ytm at 678-Hz had better test performance in distinguishing normal middle-ear status from MEE than did Ytm at other probe-tone frequencies (226-, and 1000-Hz). The results showed that Ytm from a 678-Hz probe-tone frequency, TW, and RF had the highest sensitivity, highest specificity, and statistically higher test performance in identification of MEE. Conclusions: A preliminary set of normative tympanometric data revealed significant differences between Caucasian and Chinese school-aged children and also between children and adults. Therefore, application of ethnic-specific criteria changes sensitivity or specificity of tympanometry in clinics.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".