Counseling Reproductive-Age Youth With Epilepsy: Literature Review and Expert Opinion From the Epilepsy in the Child-Bearing Ages Through Menopause Consortium
Bibliographic record
Abstract
Epilepsy in the Child-Bearing Ages through Menopause is an international consortium of clinicians dedicated to improving the health of women with epilepsy across the lifespan. Epilepsy in the Child-Bearing Ages through Menopause's Adolescent and Young Adult Committee addresses quality of care for female youth with epilepsy. The Committee developed a literature review and expert opinion guidance for child neurologists on performing optimal counseling about epilepsy and reproductive health for female youth with epilepsy. To do so, we identified and voted on key topics essential for this counseling, then conducted comprehensive literature reviews for each topic, iteratively developed key statements about counseling content and style for each topic and voted on final content for inclusion. The included topics were teratogenesis, folic acid supplementation, pregnancy and fertility, contraception, heritability of epilepsy, menstrual and hormonal disorders, catamenial epilepsy, and taking a sexual history. This review provides a clear, novel framework for pediatric neurologists to counsel adolescent and young adult women with epilepsy about their reproductive health, supporting improvement in practices recommended by professional organization such as the American Academy of Neurology and Child Neurology Foundation.
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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".