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Record W4389391303 · doi:10.1177/15357597231213248

Epilepsy and Anti-Seizure Medications: Secret Agents for Endocrine Disruption

2023· review· en· W4389391303 on OpenAlexaff
Mona Sazgar, Lilit Mnatsakanyan, Alison Pack, Cynthia L. Harden

Bibliographic record

VenueEpiliepsy currents/Epilepsy currents · 2023
Typereview
Languageen
FieldMedicine
TopicPharmacological Effects and Toxicity Studies
Canadian institutionsXenon Pharmaceuticals (Canada)
Fundersnot available
KeywordsEpilepsyEndocrine systemMedicineNeurosciencePsychologyInternal medicineHormone

Abstract

fetched live from OpenAlex

There is a reciprocal relationship between epilepsy and reproductive endocrine disorders. Seizures and anti-seizure medications (ASMs) can contribute to reproductive and endocrine dysfunction and reproductive dysfunction may exacerbate seizures. Epilepsy via neuroendocrine mechanisms affects the hypothalamic-pituitary-ovarian (HPO) axis, disrupting the regulation of gonadotropin secretion, and resulting in dystrophic effects on the ovaries and early menopause. Anti-seizure medications have endocrine-related side effects on sexual function and bone health. Long-term use of ASMs may result in menstrual irregularities, sexual dysfunction, anovulatory cycles, polycystic ovaries, and reduced fertility. Some ASMs also interfere with bone metabolism. Epilepsy patients treated with ASMs are at risk for bone loss and fractures. This article explores the endocrine and hormonal effects of seizures and ASMs.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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.

Opus teacher head0.157
GPT teacher head0.460
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations14
Published2023
Admission routes1
Has abstractyes

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