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Correlation of Clinical, Radiological and Serum Analysis of Hypovitaminosis D with Polycystic Ovary Syndrome: A Systematic Review and Meta-analysis

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Specialty General Medicine
Date 2019 Aug 23
PMID 31435252
Citations 2
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Abstract

Objectives: Vitamin D deficiency leads to a myriad of healthcare problems from cardiovascular, metabolic, endocrine, and neurological disorders to cancer. However, the role of vitamin D deficiency in the etiopathogenesis of polycystic ovary syndrome (PCOS) is unclear. This study aimed to measure objectively the impact of vitamin D deficiency on PCOS through a quantitative assessment of the existing literature.

Methods: We conducted a systematic search of published literature on the following online databases using EndnoteX7: MEDLINE, EBSCO, ScienceDirect, and CINAHL. Searches were limited to full-text English-language journal articles published between 2006 and 2016. Eligible clinical studies employed control group data to investigate the association between vitamin D deficiency and PCOS.

Results: We identified 10 studies eligible for this meta-analysis. The summary intervention effect calculated for this meta-analysis yields a value of -0.45 with a confidence interval of -1.68 to 0.79, supporting the hypothesis that lower concentrations of serum vitamin D play a role in the hormonal and metabolic dysregulation seen in PCOS.

Conclusions: Lower concentrations of serum vitamin D are associated with a greater risk of developing PCOS. However, the therapeutic effect of vitamin D in the setting of PCOS remains unclear and must be determined by future interventional studies.

Citing Articles

Optimizing Dietary Habits in Adolescents with Polycystic Ovary Syndrome: Personalized Mediterranean Diet Intervention via Clinical Decision Support System-A Randomized Controlled Trial.

Foscolou A, Papandreou P, Gioxari A, Skouroliakou M Children (Basel). 2024; 11(6).

PMID: 38929215 PMC: 11201884. DOI: 10.3390/children11060635.


Polycystic ovary syndrome and 25-hydroxyvitamin D: A bidirectional two-sample Mendelian randomization study.

Zhang N, Liao Y, Zhao H, Chen T, Jia F, Yu Y Front Endocrinol (Lausanne). 2023; 14:1110341.

PMID: 36967791 PMC: 10034407. DOI: 10.3389/fendo.2023.1110341.

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