Disparities in epilepsy: Report of a systematic review by the North American Commission of the International League Against Epilepsy
Bibliographic record
Abstract
PURPOSE: We undertook a systematic review of the evidence on disparities in epilepsy with a focus on North American data (Canada, United States, and the English-speaking Caribbean). METHODS: We identified and evaluated: access to and outcomes following medical and surgical treatment, disability, incidence and prevalence, and knowledge and attitudes. An exhaustive search (1965-2007) was done, including: (1) disparities by socioeconomic status (SES), race/ethnicity, age, or education of subgroups of the epilepsy population; or (2) disparities between people with epilepsy (PWE) and healthy people or with other chronic illnesses. RESULTS: From 1,455 citations, 278 eligible abstracts were identified and 44 articles were reviewed. Comparative research data were scarce in all areas. PWE have been shown to have lower education and employment status; among PWE, differences in access to surgery have been shown by racial/ethnic groups. Aboriginals, women, and children have been shown to differ in use of health resources. Poor compliance has been shown to be associated with lower SES, insufficient insurance, poor relationship with treating clinicians, and not having regular responsibilities. DISCUSSION: Comprehensive, comparative research on all aspects of disparities in epilepsy is needed to understand the causes of disparities and the development of any policies aimed at addressing health disparities and minimizing their impact.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".