scholarly journals Natural history of polycystic ovary syndrome: A systematic review of cardiometabolic outcomes from longitudinal cohort studies

2021 ◽  
Author(s):  
Sylvia Kiconco ◽  
Chau T. Tay ◽  
Kate L. Rassie ◽  
Ricardo Azziz ◽  
Helena J. Teede ◽  
...  
Keyword(s):  
Systematic Review ◽  
Natural History ◽  
Polycystic Ovary Syndrome ◽  
Cohort Studies ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Longitudinal Cohort ◽  
History Of

Natural History of Polycystic Ovary Syndrome and New Advances in the Epidemiology

2021 ◽  
Vol 39 (03/04) ◽  
pp. 094-101
Author(s):  
Terhi T. Piltonen ◽  
Riikka K. Arffman ◽  
Anju E. Joham
Keyword(s):  
Natural History ◽  
Polycystic Ovary Syndrome ◽  
Psychological Health ◽  
Polycystic Ovary ◽  
Epidemiological Studies ◽  
Population Based ◽  
Large Datasets ◽  
Ovary Syndrome ◽  
Female Population ◽  
History Of

AbstractPolycystic ovary syndrome (PCOS) is the most common endocrinopathy in women, affecting up to 15% of the female population. The natural history of the syndrome is complex, including both androgen exposure in early life and adiposity-driven dysfunction involving also dysregulated, also involving altered hypothalamus–ovarian crosstalk. The manifestations can arise as early as childhood or puberty onward, suggesting that genetic susceptibility is an important etiological factor. In adulthood, women with PCOS present with reproductive, metabolic, and psychological health issues at a population-based level. Epidemiological studies on large datasets offer an excellent opportunity to evaluate health effects and costs related to the syndrome. Hospital or insurance-based datasets are also available; however, the results are not representative of the female population in the community. More longitudinal studies spanning from early childhood to late adulthood are needed to assess the long-term health impact and early manifestations of PCOS. Moreover, the identification of women with PCOS from large datasets can be expensive. Self-reported symptoms or PCOS diagnosis may offer a feasible approach.

The natural history of the metabolic syndrome in young women with the polycystic ovary syndrome and the effect of long-term oestrogen-progestagen treatment

1999 ◽  
Vol 50 (4) ◽  
pp. 517-527 ◽  
Author(s):  
Renato Pasquali ◽  
Alessandra Gambineri ◽  
Bruno Anconetani ◽  
Valentina Vicennati ◽  
Donatella Colitta ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Natural History ◽  
Polycystic Ovary Syndrome ◽  
Young Women ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
The Metabolic Syndrome ◽  
History Of

scholarly journals Non‐alcoholic fatty liver disease in premenopausal women with polycystic ovary syndrome: A systematic review and meta‐analysis

JGH Open ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 434-445
Author(s):  
Mohamed Shengir ◽  
Tianyan Chen ◽  
Elena Guadagno ◽  
Agnihotram V Ramanakumar ◽  
Peter Ghali ◽  
...  
Keyword(s):  
Systematic Review ◽  
Liver Disease ◽  
Polycystic Ovary Syndrome ◽  
Fatty Liver Disease ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Premenopausal Women ◽  
Ovary Syndrome ◽  
Alcoholic Fatty Liver ◽  
Alcoholic Fatty Liver Disease

scholarly journals Relationships Between Biochemical Markers of Hyperandrogenism and Metabolic Parameters in Women with Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis

2019 ◽  
Vol 51 (01) ◽  
pp. 22-34 ◽  
Author(s):  
Mina Amiri ◽  
Fahimeh Tehrani ◽  
Razieh Bidhendi-Yarandi ◽  
Samira Behboudi-Gandevani ◽  
Fereidoun Azizi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Polycystic Ovary Syndrome ◽  
Biochemical Markers ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Metabolic Parameters ◽  
High Density Lipoproteins ◽  
Total Testosterone ◽  
Ovary Syndrome ◽  
Increased Risk

AbstractWhile several studies have documented an increased risk of metabolic disorders in patients with polycystic ovary syndrome (PCOS), associations between androgenic and metabolic parameters in these patients are unclear. We aimed to investigate the relationships between biochemical markers of hyperandrogenism (HA) and metabolic parameters in women with PCOS. In this systematic review and meta-analysis, a literature search was performed in the PubMed, Scopus, Google Scholar, ScienceDirect, and Web of Science from 2000 to 2018 for assessing androgenic and metabolic parameters in PCOS patients. To assess the relationships between androgenic and metabolic parameters, meta-regression analysis was used. A total number of 33 studies involving 9905 patients with PCOS were included in this analysis. The associations of total testosterone (tT) with metabolic parameters were not significant; after adjustment for age and BMI, we detected associations of this androgen with low-density lipoproteins cholesterol (LDL-C) (β=0.006; 95% CI: 0.002, 0.01), high-density lipoproteins cholesterol (HDL-C) (β=–0.009; 95% CI: –0.02, –0.001), and systolic blood pressure (SBP) (β=–0.01; 95% CI: –0.03, –0.00). We observed a positive significant association between free testosterone (fT) and fasting insulin (β=0.49; 95% CI: 0.05, 0.91); this association remained significant after adjustment for confounders. We also detected a reverse association between fT and HDL-C (β=–0.41; 95% CI: –0.70, –0.12). There was a positive significant association between A4 and TG (β=0.02; 95% CI: 0.00, 0.04) after adjustment for PCOS diagnosis criteria. We also found significant negative associations between A4, TC, and LDL-C. Dehydroepiandrosterone sulfate (DHEAS) had a positive association with LDL-C (β=0.02; 95% CI: 0.001, 0.03) and a reverse significant association with HDL-C (β=–0.03; 95% CI: –0.06, –0.001). This meta-analysis confirmed the associations of some androgenic and metabolic parameters, indicating that measurement of these parameters may be useful for predicting metabolic risk in PCOS patients.

scholarly journals Endocrinological and metabolic characteristics in patients who are non-obese and have polycystic ovary syndrome and different types of a family history of type 2 diabetes mellitus

2021 ◽  
Vol 49 (5) ◽  
pp. 030006052110166
Author(s):  
Yuan Wang ◽  
Hua Gao ◽  
Wen Di ◽  
Zhuowei Gu
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Family History ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
History Of ◽  
Second Degree

Objective We aimed to investigate whether patients with polycystic ovary syndrome (PCOS) and a family history (FH) of type 2 diabetes mellitus (T2DM) are at increased risk of endocrinological and metabolic abnormalities, and whether this risk differs between first-degree and second-degree relatives, and between maternal and paternal transmission. Methods A total of 680 patients with PCOS were enrolled in this retrospective, single-center study. Endocrine and glycolipid metabolism parameters were compared. Results The free androgen index (FAI), and levels of fasting blood glucose (FBG), fasting insulin (FINS), homeostatic model assessment-insulin resistance (HOMA-IR), total cholesterol (TC), and low-density lipoprotein cholesterol were significantly higher, whereas sex hormone binding globulin (SHBG) levels were significantly lower in patients with PCOS and a FH of T2DM. In patients with PCOS with a FH of T2DM in first-degree relatives, age and levels of FBG, FINS, and HOMA-IR were significantly higher than those who had a FH of T2DM in second-degree relatives. A maternal history of T2DM was associated with a higher body mass index, FAI, and TG levels, and lower SHBG levels. Conclusions Patients with PCOS and a FH of T2DM have more severe hyperandrogenism and metabolic disorders, especially in those with maternal transmission.

The effect of obesity on polycystic ovary syndrome: a systematic review and meta-analysis

2012 ◽  
Vol 14 (2) ◽  
pp. 95-109 ◽  
Author(s):  
S. S. Lim ◽  
R. J. Norman ◽  
M. J. Davies ◽  
L. J. Moran
Keyword(s):  
Systematic Review ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Ovary Syndrome
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