The influence of cochlear implantation in the elderly using preoperative MoCA screening for mild cognitive impairment
Bibliographic record
Abstract
In Germany, around 14 million people suffer from presbycusis, according to the WHO; more than a third of people over 65 worldwide are affected. Hearing loss often results in limited social participation, social withdrawal, isolation, and a negative impact on quality of life. The lack of acoustic stimuli and social interaction leads to the brain being under-challenged, resulting in an acceleration of cognitive decline and a drop in intellectual performance. In addition to an increased risk of dementia, an unfavorable influence on existing dementia is also described. To ensure social participation, maintain the ability to communicate, and continue to provide the brain with acoustic input advances in minimally invasive procedures made it possible for older people to be fitted with a cochlear implant (CI). In our study, in addition to the change in speech comprehension (measured using the Freiburg Speech Test pre- and postoperatively), we analyzed the cognitive performance before treatment with CI using the MoCA test. All patients over 65 years of age should be included regardless of their results in the MoCA. We have currently included 27 patients in our study who scored 23.89±5.12 points in the MoCA. Preoperative aided speech understanding in percent was 12.04±16.66 at 65dB SPL resp. 27.50±24.20 at 80dB SPL. Postoperatively 6-12 months after initial activation the speech understanding in percent rose to 39.29±21.35 at 65dB SPL resp. 59.25±18.53 at 80dB SPL. We found a significant correlation (p=0.04; r=0.43; n=25) between the MoCA score and speech understanding preoperatively for 80dB SPL. Additionally, we found a significant improvement in speech understanding by CI at 65dB SPL in the speech test (p<0.01; t=-3.89; n=19) as well as at 80 dB SPL (p<0.01; t=-4.21; n=19). Publication History Article published online: 19 April 2024 © 2024. Thieme. All rights reserved. Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, Germany
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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".