Your browser doesn't support javascript.
loading
The use of plasma biomarker-derived clusters for clinicopathologic phenotyping: results from the Boston Kidney Biopsy Cohort.
Schmidt, Insa M; Myrick, Steele; Liu, Jing; Verma, Ashish; Srivastava, Anand; Palsson, Ragnar; Onul, Ingrid F; Stillman, Isaac E; Avillach, Claire; Patil, Prasad; Waikar, Sushrut S.
Afiliación
  • Schmidt IM; Boston University School of Medicine and Boston Medical Center, Department of Medicine, Section of Nephrology, Boston, MA, USA.
  • Myrick S; Boston University School of Public Health, Department of Biostatistics, Boston, MA, USA.
  • Liu J; Division of Nephrology and National Clinical Research Center for Geriatrics, Kidney Research Institute, West China Hospital of Sichuan University, Chengdu, China.
  • Verma A; Boston University School of Medicine and Boston Medical Center, Department of Medicine, Section of Nephrology, Boston, MA, USA.
  • Srivastava A; Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Division of Nephrology and Hypertension, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Palsson R; Division of Nephrology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Onul IF; Boston University School of Medicine and Boston Medical Center, Department of Medicine, Section of Nephrology, Boston, MA, USA.
  • Stillman IE; Beth Israel Deaconess Medical Center, Harvard Medical School, Department of Pathology, Boston, MA, USA.
  • Avillach C; Boston Medical Center, Department of Pathology, Boston, MA, USA.
  • Patil P; Boston University School of Public Health, Department of Biostatistics, Boston, MA, USA.
  • Waikar SS; Boston University School of Medicine and Boston Medical Center, Department of Medicine, Section of Nephrology, Boston, MA, USA.
Clin Kidney J ; 16(1): 90-99, 2023 Jan.
Article en En | MEDLINE | ID: mdl-36726432
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Clin Kidney J Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Clin Kidney J Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos