z-logo
open-access-imgOpen Access
Prediction of metabolic syndrome in women with polycystic ovary syndrome
Author(s) -
Fırat Ersan,
Esra Arslan,
Aytül Çorbacıoğlu Esmer,
Serdar Aydın,
Asuman Gedikbaşı,
Ali Gedikbaşı,
İsmet Alkış,
Cemal Ark
Publication year - 2012
Publication title -
journal of the turkish-german gynecological association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.346
H-Index - 16
eISSN - 1309-0399
pISSN - 1309-0380
DOI - 10.5152/jtgga.2012.24
Subject(s) - medicine , insulin resistance , adiponectin , polycystic ovary , endocrinology , waist , metabolic syndrome , body mass index , adipokine , blood pressure , leptin , triglyceride , dyslipidemia , homeostatic model assessment , insulin , obesity , cholesterol
To identify biochemical factors that serve as predictors for the metabolic syndrome (MetS) in patients with polycystic ovary syndrome (PCOS) and to investigate the value of adipocytokines in the prediction of metabolic syndrome.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom