scholarly journals Proteomic Biomarkers of Preterm Birth Risk in Women with Polycystic Ovary Syndrome (PCOS): A Systematic Review and Biomarker Database Integration

PLoS ONE ◽  
2013 ◽  
Vol 8 (1) ◽  
pp. e53801 ◽  
Author(s):  
Nicolas Galazis ◽  
Nikolina Docheva ◽  
Kypros H. Nicolaides ◽  
William Atiomo
Keyword(s):  
Systematic Review ◽  
Preterm Birth ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Database Integration ◽  
Ovary Syndrome

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.

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

scholarly journals The role of vitamin D in metabolic disturbances in polycystic ovary syndrome: a systematic review

2013 ◽  
Vol 169 (6) ◽  
pp. 853-865 ◽  
Author(s):  
Y H M Krul-Poel ◽  
C Snackey ◽  
Y Louwers ◽  
P Lips ◽  
C B Lambalk ◽  
...  
Keyword(s):  
Systematic Review ◽  
Vitamin D ◽  
Clinical Trials ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Vitamin D Status ◽  
Regression Analyses ◽  
Metabolic Disturbances ◽  
Ovary Syndrome ◽  
Weighted Means

ContextMetabolic disturbances, in particular, insulin resistance (IR) and dyslipidemia, are common in women suffering from polycystic ovary syndrome (PCOS). Evidence is accumulating that vitamin D status may contribute to the development of metabolic disturbances in PCOS.ObjectiveThe aim of this study was to carry out a systematic review addressing the association between vitamin D status, vitamin D receptor polymorphisms, and/or polymorphisms related to vitamin D metabolism and metabolic disturbances in women with PCOS.Design and methodsA systematic search of electronic databases was carried out up to January 2013 for observational studies and clinical trials in women suffering from PCOS with outcome measures that were related to vitamin D status. We conducted univariate and multivariate regression analyses of the weighted means to gain insights into the association between vitamin D, BMI, and IR based on existing literature.ResultsWe found 29 eligible trials with inconsistency in their results. One well-designed randomized controlled trial has been carried out until now. Univariate regression analyses of the weighted means revealed vitamin D to be a significant and independent predictor of IR in both PCOS and control women. The significance disappeared after adjustment for BMI in PCOS women.ConclusionsCurrent evidence suggests an inverse association between vitamin D status and metabolic disturbances in PCOS. Owing to the heterogeneity of the studies, it is hard to draw a definite conclusion. The causal relationship between vitamin D status and metabolic disturbances in PCOS remains to be determined in well-designed placebo-controlled randomized clinical trials.

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