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Agreement of claims-based methods for identifying sepsis with clinical criteria in the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort.
Donnelly, John P; Dai, Yuling; Colantonio, Lisandro D; Zhao, Hong; Safford, Monika M; Baddley, John W; Muntner, Paul; Wang, Henry E.
Afiliação
  • Donnelly JP; Department of Learning Health Sciences, University of Michigan Medical School, NCRC Building 14, #G100, G014-130, 2800 Plymouth Rd, Ann Arbor, MI, 48109, USA. jpdonn@med.umich.edu.
  • Dai Y; Institute for Healthcare Policy & Innovation, University of Michigan, Ann Arbor, MI, USA. jpdonn@med.umich.edu.
  • Colantonio LD; Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Zhao H; Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Safford MM; Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Baddley JW; Weill Medical College of Cornell University, New York, NY, USA.
  • Muntner P; Department of Medicine, Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Wang HE; Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
BMC Med Res Methodol ; 20(1): 54, 2020 03 04.
Article em En | MEDLINE | ID: mdl-32131746
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Medicare / Sepse / Acidente Vascular Cerebral Tipo de estudo: Diagnostic_studies / Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: BMC Med Res Methodol Assunto da revista: MEDICINA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Medicare / Sepse / Acidente Vascular Cerebral Tipo de estudo: Diagnostic_studies / Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: BMC Med Res Methodol Assunto da revista: MEDICINA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos