Influence of steroid hormones in women with mild catamenial epilepsy.
Bibliographic record
Abstract
BACKGROUND: In view of considerable differences of opinion regarding the reproductive steroid hormonal pathogenesis in catamenial epilepsy, hormonal analysis of estrogen and progesterone in catamenial epileptics for a precise correlation is of significant importance. METHODS: Clinical, neurological and physiological assessments, and radioimmunoassay of plasma estradiol-17beta and progesterone a day prior to the onset of menstruation were carried out in noncatamenial and mild catamenial epileptics having multiple frequency tonic-clonic (primary and secondary generalized) seizures. RESULTS: Highly significant rise (p > 0.0001) of estradiol-17beta was obtained for catamenial epileptics compared to normal subjects as well as noncatamenial epileptics (p > 0.02). However, nonsignificant fluctuations of progesterone were found for both catamenial and noncatamenial epileptics against normal subjects as well as catamenial versus noncatamenial epileptics. CONCLUSIONS: The present report suggests that estradiol have a precise role in the mild premenstrual exacerbation of seizures. However, no significant change in progesterone levels might have been due to mild exacerbation of seizures in these patients. Furthermore, we suggest the importance of how we collect and categorize the data and which pathophysiologic process/ clinicobiological mechanism is involved in patients with catamenial epilepsy. Contradictory results in literature may be related to differential levels of excitation/inhibition equilibrium during various cycle phases. More precise studies including the determination of the blood levels of antiepileptic drugs, however, are required.
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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".