Identification of subjects with polycystic ovary syndrome using electronic health records-Reference-Cited by-同舟云学术

Identification of subjects with polycystic ovary syndrome using electronic health records

Published:2015-10-29 Issue:1 Volume:13 Page:
ISSN:1477-7827
Container-title:Reproductive Biology and Endocrinology
language:en
Short-container-title:Reprod Biol Endocrinol

Author:

Castro Victor,Shen Yuanyuan,Yu Sheng,Finan Sean,Pau Cindy Ta,Gainer Vivian,Keefe Candace C.,Savova Guergana,Murphy Shawn N.,Cai Tianxi,Welt Corrine K.

Funder

National Institute of Child Health and Human Development

National Center for Research Resources

American Diabetes Association

Partners Center for Personalized Genetic Medicine

Publisher

Springer Science and Business Media LLC

Subject

Developmental Biology,Endocrinology,Reproductive Medicine,Obstetrics and Gynaecology

Link

http://link.springer.com/content/pdf/10.1186/s12958-015-0115-z.pdf

Reference22 articles.

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2. Johnson TRB, Kaplan LK, Ouyang P, Rizza RA. Evidence-based methodology workshop on polycystic ovary syndrome. https://prevention.nih.gov/docs/programs/pcos/FinalReport.pdf . Accessed October, 2015.

3. Ehrmann DA, Barnes RB, Rosenfield RL, Cavaghan MK, Imperial J. Prevalence of impaired glucose tolerance and diabetes in women with polycystic ovary syndrome. Diabetes Care. 1999;22(1):141–6.

4. Legro RS, Kunselman AR, Dodson WC, Dunaif A. Prevalence and predictors of risk for type 2 diabetes mellitus and impaired glucose tolerance in polycystic ovary syndrome: a prospective, controlled study in 254 affected women. J Clin Endocrinol Metab. 1999;84(1):165–9. doi: 10.1210/jcem.84.1.5393 .

5. Welt CK, Gudmundsson JA, Arason G, Adams J, Palsdottir H, Gudlaugsdottir G, et al. Characterizing discrete subsets of polycystic ovary syndrome as defined by the Rotterdam criteria: the impact of weight on phenotype and metabolic features. J Clin Endocrinol Metab. 2006;91(12):4842–8. doi: 10.1210/jc.2006-1327 .

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