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Diagnostic Accuracy of Clinical Sign Algorithms to Identify Sepsis in Young Infants Aged 0 to 59 Days: A Systematic Review and Meta-analysis.
Fung, Alastair; Shafiq, Yasir; Driker, Sophie; Rees, Chris A; Mediratta, Rishi P; Rosenberg, Rebecca; Hussaini, Anum S; Adnan, Jana; Wade, Carrie G; Chou, Roger; Edmond, Karen M; North, Krysten; Lee, Anne Cc.
Affiliation
  • Fung A; Division of Paediatric Medicine, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.
  • Shafiq Y; Center for Research and Training in Disaster Medicine, Humanitarian Aid and Global Health (CRIMEDIM), Università degli Studi del Piemonte Orientale "Amedeo Avogadro", Vercelli, Italy.
  • Driker S; Center of Excellence for Trauma and Emergencies and Community Health Sciences, The Aga Khan University, Karachi, Pakistan.
  • Rees CA; Global Advancement of Infants and Mothers (AIM), Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Mediratta RP; Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
  • Rosenberg R; Global Advancement of Infants and Mothers (AIM), Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Hussaini AS; Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia.
  • Adnan J; Division of Pediatric Hospital Medicine, Stanford University School of Medicine, Palo Alto, California.
  • Wade CG; Department of Pediatrics, School of Medicine, New York University, New York, New York.
  • Chou R; Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
  • Edmond KM; American University of Beirut, Beirut, Lebanon.
  • North K; Countway Library, Harvard Medical School, Boston, Massachusetts.
  • Lee AC; Departments of Medicine and Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon.
Pediatrics ; 154(Suppl 1)2024 Aug 01.
Article in En | MEDLINE | ID: mdl-39087806
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Sepsis Limits: Humans / Infant / Newborn Language: En Journal: Pediatrics Year: 2024 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Sepsis Limits: Humans / Infant / Newborn Language: En Journal: Pediatrics Year: 2024 Document type: Article Affiliation country: Country of publication: