A community-based case–control study of prevalence and pattern of cognitive impairments in patients with epilepsy residing in South-Eastern Nigeria
Bibliographic record
Abstract
BACKGROUND: Epilepsy is the commonest neurological disorder encountered in Sub-Saharan Africa. The quality of life of patients with epilepsy (PWEs) is adversely affected by cognitive impairments. AIM: This study investigated the prevalence and pattern of cognitive impairments in PWE in Ukpo community located in a South-Eastern state in Nigeria using Community Screening Interview for Dementia (CSID) and a computer-assisted cognitive test battery (FePsy). METHODS AND PATIENTS: Fifty-one PWEs were studied and compared with 51 age-, sex-and level of education-matched healthy controls. Diagnosis of epilepsy was confirmed clinically with eye-witness corroboration. Sociodemographic data and information on epilepsy variables were obtained with the aid of a questionnaire. Cognitive domains assessed include language, memory, orientation, attention, psychomotor speed and constructional praxis. RESULTS: The prevalence rate of cognitive impairment using total CSID score was 19.6%. Analysis of CSID scores revealed significant impairment in language (17.6%), memory (29.4%), orientation (15.7%), attention (7.8%) and constructional praxis (15.7%) compared to healthy controls. A similar pattern was observed with FePsy but with better sensitivity indices for detecting cognitive impairment. CONCLUSION: This study indicated significant prevalence rate of cognitive impairment among treatment-naïve PWE with profound affectation of memory, mental speed and language. In addition, the FePsy was found to be more sensitive and specific in assessment of cognitive function in PWE.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".