A Matched-Pair Comparison of Two Cochlear Implant Systems
Bibliographic record
Abstract
OBJECTIVES: To compare the overall performance of two implant systems based on audiologic outcome, tinnitus handicap, and quality of life using objective and subjective measures. DESIGN: Retrospective cohort study. SETTING: Sunnybrook & Women's College Health Science Centre. METHODS: Two matched groups, with 24 Nucleus 22 SPEAK (Advanced Bionics, Symlar, CA) and 24 Clarion CIS (Cochlear Corporation, Sydney, Australia), were selected. Patients were administered survey forms to evaluate subjective tinnitus and dizziness symptomatology, as well as a 27-item tinnitus handicap questionnaire. Both groups were administered survey forms to assess the frequency of implant use, the subjective benefit derived, and the perceived impact on quality of life. The 36-Item Short-Form (SF-36) Health Survey was administered as a measure of quality of life at 6 months postimplant. Standardized open-set speech recognition parameters were evaluated at 24 months postimplant. Vestibular function was determined by pre-and postimplant electronystagmography with caloric testing. The first author was blinded to implant type during data collection and analysis RESULTS: Cochlear implantation yielded a significant 22% reduction in overall tinnitus handicap (p < .05). There was a 27% reduction in vestibular function that failed to show statistical significance (p = .78). There was no significant reduction in vestibular function postimplant in either group. The average open-set speech perception responses at 24 months postimplant were monosyllabic word recognition 45%, phoneme recognition 65%, and sentence recognition 86.5%. There was no significant difference with respect to implant type. Overall, 76% of implantees reported satisfaction with the amount of subjective benefit they received from their implants. Furthermore, 96% reported an overall positive impact on quality of life. CONCLUSION: Overall, there was no significant difference between the two multichannel devices studied using the present software and hardware configurations.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".