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Record W4389571551 · doi:10.1080/13697137.2023.2282689

Polycystic ovary syndrome: associations with cardiovascular disease

2023· review· en· W4389571551 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClimacteric · 2023
Typereview
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsUniversity of TorontoUniversity of Calgary
FundersNational Health and Medical Research Council
KeywordsPolycystic ovaryMedicineDiseaseObesityEndocrine systemPsychosocialMetabolic syndromeAndrogen ExcessGynecologyInternal medicineObstetricsInsulin resistanceHormonePsychiatry

Abstract

fetched live from OpenAlex

Polycystic ovary syndrome (PCOS), characterized by abnormal menstrual periods, elevated androgen levels and polycystic ovary morphology on ultrasound, is the most common endocrine disorder among females. PCOS is associated with cardiovascular disease (CVD) risk factors including diabetes, obesity, metabolic syndrome, adverse pregnancy outcomes such as pre-eclampsia and psychosocial distress including depression. Previous evidence on the association between PCOS and CVD is inconclusive but the latest 2023 International Evidence-Based PCOS Guideline identifies PCOS as a risk factor for CVD. This review will discuss the relationship between PCOS and CVD along with current direction for CVD screening and prevention among individuals with PCOS.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.961
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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)0.0000.002

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 head0.055
GPT teacher head0.305
Teacher spread0.250 · 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