Evaluation of the rehabilitation potential of cochlear implantation on cognitive function in elderly people
Bibliographic record
Abstract
Introduction. In the world there is an increase in the proportion of elder people in the demographic group of society. The problems of treatment and diagnosis of diseases associated with age due to this are considered more significant in clinical practice. Among of the most common age-related diseases: cognitive impairment, hearing loss and depression. Researchers have found that hearing loss is the most significant modifiable risk factor for cognitive impairment. Also, hearing impairment, according to several experts, is the cause of depression. Cochlear implantation is one of the main methods of rehabilitation in case of profound impairment of auditory function in elder people. Aim. Evaluate the rehabilitation potential of cochlear implantation on cognitive function in elder people. Mat erials and methods. A prospective study, were selected 35 patients (15 men, 20 women), candidates for cochlear implantation. Average age at the start of the study was 65 ± 9 years. Cognitive function was assessed using the RBANS-H, HI-MoCA, sound quality assessment using the HISQUI 19 , depression and anxiety level assessment using the HADS. Studies were conducted before surgery, 6 and 12 months after the activation of the cochlear implant. Results. There was an increase in cognitive function, assessed by the RBANS and HI-MoCA. In addition, the patients showed a decrease in the levels of depression and anxiety, assessed by the HADS test. Conclusions. Cochlear implantation, as a method of rehabilitation of deep hearing impairment in elder people, has shown high efficiency on cognitive function, and decrease of depression and anxiety in the postoperative period.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.135 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 teacher head, 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".