Diagnosis of Polycystic Ovary Syndrome: Which Criteria to Use and When?

Sydney Chang; Andrea Dunaif

doi:10.1016/j.ecl.2020.10.002

Diagnosis of Polycystic Ovary Syndrome: Which Criteria to Use and When?

Sydney Chang, Andrea Dunaif

Research output: Contribution to journal › Review article › peer-review

51 Scopus citations

Abstract

Current diagnostic criteria for polycystic ovary syndrome (PCOS) are based on expert opinion. This article reviews the rationale for and the limitations of these criteria as well as which criteria to use and when. The insights provided into PCOS pathogenesis by modern genetic analyses and the promise of objective data mining approaches for biologically relevant disease classification are discussed.

Original language	English
Pages (from-to)	11-23
Number of pages	13
Journal	Endocrinology and Metabolism Clinics of North America
Volume	50
Issue number	1
DOIs	https://doi.org/10.1016/j.ecl.2020.10.002
State	Published - Mar 2021

Keywords

Diagnostic criteria
Disease classification
Hyperandrogenism
PCOS
Polycystic ovary syndrome

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10.1016/j.ecl.2020.10.002

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title = "Diagnosis of Polycystic Ovary Syndrome: Which Criteria to Use and When?",

abstract = "Current diagnostic criteria for polycystic ovary syndrome (PCOS) are based on expert opinion. This article reviews the rationale for and the limitations of these criteria as well as which criteria to use and when. The insights provided into PCOS pathogenesis by modern genetic analyses and the promise of objective data mining approaches for biologically relevant disease classification are discussed.",

keywords = "Diagnostic criteria, Disease classification, Hyperandrogenism, PCOS, Polycystic ovary syndrome",

author = "Sydney Chang and Andrea Dunaif",

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year = "2021",

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AB - Current diagnostic criteria for polycystic ovary syndrome (PCOS) are based on expert opinion. This article reviews the rationale for and the limitations of these criteria as well as which criteria to use and when. The insights provided into PCOS pathogenesis by modern genetic analyses and the promise of objective data mining approaches for biologically relevant disease classification are discussed.

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Diagnosis of Polycystic Ovary Syndrome: Which Criteria to Use and When?

Abstract

Keywords

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