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Development and validation of diagnostic triage criteria for liver disease from a minimum data set enabling the 'intelligent LFT' pathway for the automated assessment of deranged liver enzymes.
Miller, Michael Hugh; Fraser, Andrew; Leggett, Gillian; MacGilchrist, Alastair; Gibson, George; Orr, James; Forrest, Ewan H; Dow, Ellie; Bartlett, William; Weatherburn, Chirstopher; Laurell, Axel; Grant, Kirsty; Scott, Kathryn; Neville, Ronald; Dillon, John F.
Afiliação
  • Miller MH; Gut Group, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK.
  • Fraser A; NHS Grampian, Aberdeen Royal Infirmary, Aberdeen, UK.
  • Leggett G; NHS Grampian, Aberdeen Royal Infirmary, Aberdeen, UK.
  • MacGilchrist A; NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Gibson G; NHS Greater Glasgow and Clyde, Glasgow Royal Infirmary, Glasgow, UK.
  • Orr J; NHS Greater Glasgow and Clyde, Glasgow Royal Infirmary, Glasgow, UK.
  • Forrest EH; NHS Greater Glasgow and Clyde, Glasgow Royal Infirmary, Glasgow, UK.
  • Dow E; NHS Tayside, Ninewells Hospital and Medical School, Dundee, UK.
  • Bartlett W; NHS Tayside, Ninewells Hospital and Medical School, Dundee, UK.
  • Weatherburn C; NHS Tayside, Ninewells Hospital and Medical School, Dundee, UK.
  • Laurell A; Gut Group, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK.
  • Grant K; Gut Group, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK.
  • Scott K; Department of Gastroenterology, University of Dundee, Dundee, UK.
  • Neville R; NHS Tayside, Ninewells Hospital and Medical School, Dundee, UK.
  • Dillon JF; Gut Group, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK.
Frontline Gastroenterol ; 9(3): 175-182, 2018 Jul.
Article em En | MEDLINE | ID: mdl-30046420
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline Idioma: En Ano de publicação: 2018 Tipo de documento: Article