D.1 Quality of life in people with epilepsy living in Canada
Bibliographic record
Abstract
Background: Epilepsy has significant implications to quality of life (QOL) beyond the seizures themselves. While research has investigated QOL among people with epilepsy (PwE) from around the globe, minimal research exists on QOL among PwE living in Canada. Methods: People with drug-resistant epilepsy admitted to the Epilepsy Monitoring Unit in London, Ontario completed the “Quality of Life in Neurological Disorders” questionnaire (Neuro-QOL), a scale evaluating 13 QOL domains. We assessed objective cognition using a battery called Creyos. Results: Participants (N=42) scored significantly worse than the reference populations on the anxiety, satisfaction with social roles and activities, and cognitive functioning Neuro-QOL domains (p<.05). Scores on these domains, as well as depression and positive affect/well-being were unrelated to age (mean=39.3 years, SD=16.9), sex (28 females), education level, epilepsy duration, and age of epilepsy onset (p>.05). There were no correlations between scores on these Neuro-QOL domains and Creyos performance in short-term memory, reasoning, and verbal processing (p>.05). Conclusions: PwE living in Canada experience negative QOL in anxiety, social satisfaction, and subjective cognition, unrelated to the clinical factors or cognitive domains investigated. More attention is needed in Canadian clinical care and research to assess and address these affected attributes of QOL for all PwE.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".