MétaCan
Menu
Back to cohort

Valproate, bipolar disorder and polycystic ovarian syndrome

2003· article· en· W2008824867 on OpenAlexaff
Roger S. McIntyre, Deborah Mancini, Sonia McCann, Janaki Srinivasan, Sidney H. Kennedy

Bibliographic record

VenueBipolar Disorders · 2003
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsInternal medicineEndocrinologyMedicinePolycystic ovaryLuteinizing hormoneBipolar disorderTestosterone (patch)Dehydroepiandrosterone sulfateInsulin resistanceInsulinLithium (medication)AndrogenHormone

Abstract

fetched live from OpenAlex

BACKGROUND: Persons with bipolar disorder are often overweight and cluster risk factors for cardiovascular disease. Some antibipolar agents adversely impact upon weight and the lipid milieu. Recent data suggest that valproic acid, a commonly prescribed mood stabilizer, may be associated with polycystic ovarian syndrome (PCOS). This adverse event has not been systematically studied in bipolar disorder. METHOD: Thirty-eight female subjects, aged 18-50 years, meeting DSM-IV criteria for bipolar I or II disorder, in any phase of illness were evaluated. Eighteen females received valproate (sodium valproate and valproic acid) and 20 females received lithium. Patients completed questions regarding their menstrual, reproductive and medical histories. During the follicular phase they were assessed for weight, body mass index (BMI kg/m2), and changes in the reproductive endocrine milieu that included morning estradiol, progesterone, follicle-stimulating hormone (FSH), luteinizing hormone (LH), sex-hormone binding globulin (SHBG), androstenedione, dehydroepiandrosterone-sulfate (DHEAS), testosterone, free testosterone, prolactin and thyroid-stimulating hormone (TSH). The blood was also analyzed for fasting metabolic parameters which included total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), insulin, glycosylated hemoglobin (HbA1C), insulin-like growth factor 1 (IGF-1), insulin-like growth factor binding-protein 1 (IGFBP-1), fasting blood glucose and morning leptin. RESULTS: Nine (50%) of the valproate-treated females had menstrual abnormalities versus three (15%) of the lithium-treated females (p < 0.05). Valproate-treated females had significantly higher levels of follicular phase androgen concentrations than lithium-treated females (p < 0.05). Nine (50%) of females who were overweight (BMI > or = 25 kg/m2) and with a history of menstrual irregularities also exhibited laboratory evidence of hyperandrogenism (p < 0.05). Persons receiving valproate exhibited significant increases in fasting biochemical parameters suggestive of an adverse metabolic syndrome (p < 0.05). Leptin levels were significantly elevated in the valproate-treated females (p < 0.05). CONCLUSIONS: In this pilot, open-label cross-sectional study, valproate-treated females exhibited higher rates of menstrual abnormalities and biochemical evidence of both hyperandrogenism and adverse metabolic parameters when compared with lithium-treated females. These preliminary data suggest that valproate may, in some predisposed females, adversely impact upon the reproductive endocrine milieu and result in aspects of the metabolic syndrome.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.008
GPT teacher head0.229
Teacher spread0.221 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations124
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueBipolar DisordersSame topicBipolar Disorder and TreatmentFrench-language works237,207