Cognitive Impairment Features in Patients With Multiple Sclerosis
Bibliographic record
Abstract
Introduction : Multiple sclerosis (MS) is an inflammatory and demyelinating disease of the central nervous system accompanied by neurodegeneration contributing to cognitive dysfunction. Cognitive impairment occurs in 40%-65% of patients with MS and can manifest even in the early stages of the disease. Objective : To evaluate cognitive dysfunction features in patients with MS. Materials and methods : The study included patients with MS (n=30; age, 40.8±9.74 years; disease duration, 9.67±6.96 years; Expanded Disability Status Scale [EDSS] score, 4.76±2.11) and healthy individuals (n=30; age, 40.3±12.24 years). Cognitive impairment was assessed using the Montreal Cognitive Assessment Scale (MoCA) and the Paced Auditory Serial Addition Test (PASAT). Results : Cognitive impairment in the group of MS patients was found in 73.3% of the cases. The mean MoCA, PASAT-3, and PASAT-2 scores of MS patients were 13.56%, 24.31%, and 29.48% lower than those in the control group, respectively. In women, the cognitive level in MS patients remains higher than in men. Analysis of the PASAT-3 and PASAT-2 results in MS patients did not reveal any statistically significant differences between the groups of patients aged 18-35 years and those aged 36-44 years and the groups of patients aged 18-35 years and those aged 45-59 years. The results of the MoCA and hearing tests in patients with higher and secondary education were not statistically significant. We found an inverse relationship between EDSS and PASAT-2 (R= −0.49; P< .05), EDSS and PASAT-3 (R= −0.37; P< .05). The most severe cognitive impairment was observed with high EDSS (7.5-9). Conclusions : We have identified features of cognitive functions in MS. Follow-up and therapy of MS patients require cognitive dysfunction assessment using appropriate scales.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| 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".