The lack of association between polycystic ovary syndrome and metabolic syndrome: Iranian PCOS prevalence study
Bibliographic record
Abstract
OBJECTIVE: This study was designed to evaluate the prevalence of the metabolic syndrome (MetS) and insulin resistance (IR) in a large population-based study in Iran. RESEARCH DESIGN AND METHODS: Anthropometric measurements, biochemical parameters and IR were compared between 136 polycystic ovary syndrome (PCOS) subjects and 423 healthy controls recruited from among 1126 reproductive aged women (18-45 year). PCOS and MetS were diagnosed using the Rotterdam criteria and Joint Interim Statement, respectively. IR was defined using the homeostatic model assessment-IR). RESULTS: Among the PCOS subjects, the mean ± SD age, body mass index (BMI) and waist circumference were 31 ± 7·7 years, 26·4 ± 5·8 kg/m(2) and 84 ± 13·3 cm, respectively; corresponding values among healthy controls were 36 ± 7·5 years, 26·4 ± 5·0 kg/m(2) and 85 ± 11·9 cm, respectively. Age and BMI adjusted prevalences of MetS in PCOS subjects and controls were 18·5% (CI 95%, 15·3-21·7%) and 18·3% (CI 95%, 15·1-21·5%), respectively [P = not significant (NS)]. Age and BMI adjusted prevalences of IR in PCOS and healthy controls were 27·2% (CI 95%, 23·5-30·9%) and 24·2% (CI 95%, 20·6-27·8%), respectively (P < 0·01). CONCLUSIONS: Metabolic syndrome was no more frequent in a representative sample of PCOS Iranian population than in healthy controls. However, the prevalence of IR in PCOS appears to be higher than in controls. It seems that the association between PCOS and MetS needs more consideration.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".