Cognitive and neuropsychiatric outcomes in economically active young patients with epilepsy: a case-control study from a secondary medical center in Mexico
Bibliographic record
Abstract
Aim: Epilepsy is associated with cognitive and neuropsychiatric impairments, affecting attention, memory, executive functions, and emotional well-being. While these impairments are well-documented in general epilepsy populations, limited research focuses on economically active young adults who face unique cognitive demands in competitive academic and professional environments. The objective of this research was to evaluate the cognitive and neuropsychiatric outcomes in economically active young adults with epilepsy compared to matched controls. Methods: An observational, analytical, case-control study was conducted at a secondary medical center in Mexico. Participants included 25 patients with well-controlled epilepsy and 25 matched controls. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) and Addenbrooke’s Cognitive Examination III (ACE-III). Anxiety and depression were evaluated using the Beck Anxiety Inventory and Patient Health Questionnaire-9 (PHQ-9). Statistical analysis included Student’s T-test and Chi-square for cognitive scores and Wilcoxon rank-sum tests for non-parametric data. Results: Cognitive impairments were significantly more frequent in patients with epilepsy than in controls, particularly in attention (p = 0.041), episodic memory (p = 0.048), clock drawing (p = 0.004), and cube copying (p < 0.001). Verbal (p = 0.011) and semantic fluency (p = 0.027) were also affected. No significant differences were observed in anxiety (p = 0.221) or depression (p = 0.800) between groups. Conclusions: Economically active young adults with well-controlled epilepsy showed significant cognitive impairments, particularly in attention, memory, visuospatial, and executive functions, independent of anxiety and depression levels. This study underscores the need for comprehensive cognitive and neuropsychiatric evaluations in epilepsy treatment, regardless of seizure control. It advocates for targeted cognitive rehabilitation and a holistic approach to epilepsy care beyond seizure frequency control.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".