Your browser doesn't support javascript.
loading
A combined epidemiologic and metabolomic approach improves CKD prediction.
Rhee, Eugene P; Clish, Clary B; Ghorbani, Anahita; Larson, Martin G; Elmariah, Sammy; McCabe, Elizabeth; Yang, Qiong; Cheng, Susan; Pierce, Kerry; Deik, Amy; Souza, Amanda L; Farrell, Laurie; Domos, Carly; Yeh, Robert W; Palacios, Igor; Rosenfield, Kenneth; Vasan, Ramachandran S; Florez, Jose C; Wang, Thomas J; Fox, Caroline S; Gerszten, Robert E.
Affiliation
  • Rhee EP; Nephrology Division, Massachusetts General Hospital, Boston, MA 02114, USA. eprhee@partners.org
J Am Soc Nephrol ; 24(8): 1330-8, 2013 Jul.
Article in En | MEDLINE | ID: mdl-23687356
Subject(s)
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metabolomics / Kidney Failure, Chronic Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: J Am Soc Nephrol Journal subject: NEFROLOGIA Year: 2013 Type: Article Affiliation country: United States
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metabolomics / Kidney Failure, Chronic Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: J Am Soc Nephrol Journal subject: NEFROLOGIA Year: 2013 Type: Article Affiliation country: United States