Diabetes risk score in the diagnostic categories of polycystic ovary syndrome
Open accessAbstract
Objective To assess the Finnish Diabetes Risk Score in polycystic ovary syndrome (PCOS) and in different phenotypes of PCOS and controls.Design Cross-sectional study.Setting General community.Patient(s) Overweight premenopausal women with National Institutes of Health (NIH) PCOS (n = 29), non-NIH PCOS (n = 25), or controls (n = 27).Intervention(s) No intervention provided.Main outcome measure(s) Finnish Diabetes Risk Score, anthropometrics, oral glucose tolerance test (OGTT), glucose, insulin, and reproductive hormone levels.Result(s) The women with NIH PCOS had higher adiposity, abdominal adiposity and 120-minute OGTT glucose. The women with NIH and non-NIH PCOS had elevated 120-minute OGTT insulin compared with controls. The women with NIH (11.3 ± 0.7) and non-NIH PCOS (10.4 ± 0.7) had similar diabetes risk scores, but both had higher diabetes risk score compared with controls (7.6 ± 0.8) maintained on adjustment for age and body mass index (BMI). The women with NIH (4%) and non-NIH PCOS (12%) had a lower prevalence of low risk of diabetes scores compared with controls (50%).Conclusion(s) We report for the first time that women with NIH and non-NIH PCOS have similar Finnish Diabetes Risk Scores and elevated scores relative to controls independent of age and adiposity. Similar clinical screening and treatment practices for type 2 diabetes are warranted for both phenotypes of PCOS.
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Women with PCOS have increased Finnish Diabetes Risk Scores as well as increased risk of gestational diabetes, prediabetes and DM2, independent of but exacerbated by obesity.
“Women with PCOS have increased Finnish Diabetes Risk Scores as well as increased risk of gestational diabetes, 24 prediabetes and DM2 11,103 - independent of, but exacerbated by, obesity.”
From Assessment and management of polycystic ovary syndrome: Summary of an evidence-based guideline (2011) · cites this paper as [103]
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- Authors
- Moran, L. J., Strauss, B. J., & Teede, H. J.
- Affiliations
- Jean Hailes (AU)
- Monash University (AU)
- Corresponding author
- Moran, Lisa J.
- Venue
- Fertility and Sterility
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 95
- Issue
- 5
- Pages
- 1742-1748
- ISSN
- 0015-0282 (ISSN-L)
- OpenAlex
- W2120558931
- Cited by
- 41
- References
- 44
- Citations by year
- 2023: 2 · 2022: 2 · 2021: 5 · 2020: 1 · 2019: 4 · 2017: 5 · 2016: 3 · 2015: 3 · 2014: 2 · 2013: 5 · 2012: 6
- FWCI
- 5.73
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Fertility and Sterility (publishedVersion)
- PubMed (publishedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Funders
- Diabetes Australia Research Trust
- Topics
- Health Sciences › Medicine › Reproductive Medicine › Ovarian function and disorders
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
- Keywords
- polycystic ovary syndrome, FINDRISC, type 2 diabetes risk, PCOS phenotypes, insulin resistance, oral glucose tolerance test, adiposity, abdominal fat, premenopausal women, diabetes screening
- MeSH terms
- Adolescent, Adult, Algorithms, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Diagnostic Techniques, Endocrine, Female, Finland, Humans, Middle Aged, Polycystic Ovary Syndrome, Research Design, Risk Factors, Case-Control Studies, Young Adult
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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