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Record W2049014963 · doi:10.1159/000194971

Obesity and Polycystic Ovary Syndrome

2009· article· en· W2049014963 on OpenAlexaff
Jana Vrbíková, Vojtěch Hainer

Bibliographic record

VenueObesity Facts · 2009
Typearticle
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsInstitute of Health Services and Policy Research
Fundersnot available
KeywordsMedicinePolycystic ovaryhirsutismWeight lossObesityInsulin resistanceInternal medicineDiabetes mellitusInfertilityImpaired glucose toleranceEndocrinologyAbdominal obesityHyperlipidemiaMetabolic syndromePregnancy

Abstract

fetched live from OpenAlex

Obesity is now a major international health concern. It is increasingly common in young women with reproductive, metabolic and psychological health impacts. Reproductive health impacts are often poorly appreciated and include polycystic ovary syndrome (PCOS), infertility and pregnancy complications. PCOS is the most common endocrine condition in women and is underpinned by hormonal disturbances including insulin resistance and hyperandrogenism. Obesity exacerbates hormonal and clinical features of PCOS and women with PCOS appear at higher risk of obesity, with multiple underlying mechanisms linking the conditions. Lifestyle intervention is first line in management of PCOS to both prevent weight gain and induce weight loss; however improved engagement and sustainability remain challenges with the need for more research. Medications like metformin, orlistat, GLP1 agonists and bariatric surgery have been used with the need for large scale randomised clinical trials to define their roles.

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)0.002
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.013
GPT teacher head0.237
Teacher spread0.224 · 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

Citations200
Published2009
Admission routes1
Has abstractyes

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