Importance of the interdisciplinary, evidence-based diagnosis of polycystic ovary syndrome

• Published in: Orvosi hetilap Vol. 155; no. 30; p. 1175
• Main Authors: Gődény, Sándor, Csenteri, Orsolya
• Format: Journal Article
• Language: Hungarian
• Published: Hungary 27-07-2014
• Subjects: Carbohydrate Metabolism; Cardiovascular Diseases - etiology; Evidence-Based Medicine; Female; Genital Diseases, Female - etiology; Hirsutism - etiology; Humans; Hyperandrogenism - diagnosis; Hyperandrogenism - etiology; Interdisciplinary Communication; Lipid Metabolism; Metabolic Syndrome - diagnosis; Metabolic Syndrome - etiology; Obesity - diagnosis; Obesity - etiology; Patient Care Team; Polycystic Ovary Syndrome - complications; Polycystic Ovary Syndrome - diagnosis; Polycystic Ovary Syndrome - metabolism; Polycystic Ovary Syndrome - psychology; Quality of Life; diagnózis; polycystás ovarium szindróma; bizonyítékon alapuló orvoslás; diagnosis; interdiszciplináris; evidence-based medicine; interdisciplinary; polycystic ovary syndrome
• ISSN: 0030-6002
• DOI: 10.1556/OH.2014.29941

Polycystic ovary syndrome is recognized as the most common hormonal and metabolic disorder of women. This heterogeneous endocrinopathy characterized by clinical and/or biochemical hyperandrogenism, oligo- or amenorrhoea, anovulatory infertility, and polycystic ovarian morphology. The prevalence, clinical feature and the risk of co-morbidity vary depending on the accuracy of the diagnosis and the criteria used. Evidence suggests that those women are at high risk who fulfil the criteria based on National Institute of Health. The complex feature of the syndrome and the considerable practice heterogeneity that is present with regards to diagnostic testing of patients who are suspected to have polycystic ovary syndrome require an interdisciplinary, evidence-based diagnostic approach. Such a method can ensure the patient safety and the effectiveness and efficiency of the diagnosis. This paper summarises the highest available evidence provided by well-designed studies, meta-analysis and systematic reviews of the clinical feature and the clinical implications of the diagnostic criteria of polycystic ovary syndrome.