Predicts factor in Polycystic Ovary Syndrome: An Evidence-based Study and Invitation from the Chief Editor

Document Type : Original Article

Author

Medical Doctor, Medicine Faculty, Urmia University of Medical Science, Urmia, Iran

Abstract
Polycystic Ovary Syndrome (PCOS) is one of the most common endocrine disorders affecting women of reproductive age, with a prevalence of approximately 6-10% worldwide. Characterized by a range of symptoms including irregular menstrual cycles, hyperandrogenism, and polycystic ovaries, PCOS presents a complex challenge for both diagnosis and management. The syndrome's etiology is multifactorial, involving genetic, environmental, and lifestyle factors. This comprehensive review aims to explore the various predictive factors associated with PCOS, encompassing genetic predispositions, hormonal imbalances, metabolic dysfunctions, lifestyle influences, and potential environmental triggers. Characterized by symptoms such as menstrual irregularities, hyperandrogenism, and polycystic ovaries, PCOS presents a broad spectrum of clinical manifestations. The multifaceted nature of PCOS makes it a challenge to diagnose and manage effectively. Understanding the predictive factors involved in PCOS is crucial for early identification and personalized treatment.

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