Cognitive Function in Nigerians with Newly Diagnosed Epilepsy
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to evaluate the pattern of cognitive disturbances in Nigerian Africans with newly diagnosed epilepsy, prior to onset of drug therapy. METHODS: A total of 60 consecutive patients (mean age 31.6 +/- 17.4, range 14-55 years) presenting with a clinical diagnosis of epilepsy were recruited for the study. Sixty healthy volunteers without a history of epilepsy and who were age-, sex- and level of education matched with the epileptic patients, were recruited as controls. The administration of cognitive tests was done with the FePsy computerized neuropsychological test battery. The tests administered were the visual and auditory reaction times, the continuous performance test and the recognition memory tests to assess mental speed, attention and memory respectively. The means of the cognitive performances of the epileptic patients and controls were statistically compared. RESULTS: Epileptic patients performed worse than the controls across the spectrum of cognitive tasks assessed (P = 0.00001; P < 0.025), with the exception of the beta parameter (response bias) of the vigilance test (P = 0.488; P > 0.025). CONCLUSIONS: The cognitive impairments of short-term memory, psychomotor speed and sustained attention observed in this study are similar to those reported in the literature for patients with epilepsy. The results of this study will be useful in the counseling of patients on their educational, social and vocational needs.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".