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Peter C. Hayes

Researcher at University of Edinburgh

Publications -  451
Citations -  17549

Peter C. Hayes is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Cirrhosis & Liver disease. The author has an hindex of 67, co-authored 423 publications receiving 15723 citations. Previous affiliations of Peter C. Hayes include Edinburgh Royal Infirmary & University of Cambridge.

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UK guidelines on the management of variceal haemorrhage in cirrhotic patients

TL;DR: These updated guidelines on the management of variceal haemorrhage have been commissioned by the Clinical Services and Standards Committee (CSSC) of the British Society of Gastroenterology (BSG) under the auspices of the liver section of the BSG.
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Coffee consumption and health: umbrella review of meta-analyses of multiple health outcomes

TL;DR: Coffee consumption seems generally safe within usual levels of intake, with summary estimates indicating largest risk reduction for various health outcomes at three to four cups a day, and more likely to benefit health than harm.
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Prevalence of and Risk Factors for Hepatic Steatosis and Nonalcoholic Fatty Liver Disease in People With Type 2 Diabetes: the Edinburgh Type 2 Diabetes Study

TL;DR: Prevalences of hepatic steatosis and NAFLD were high in this unselected population of older people with type 2 diabetes, but lower than in studies in which ultrasound gradings were not compared with a gold standard.
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Moderate hypothermia for uncontrolled intracranial hypertension in acute liver failure.

TL;DR: Moderate hypothermia is useful in the treatment of uncontrolled increase in intracranial pressure in patients with acute liver failure and may serve as a bridge to OLT.
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Analysis of factors predictive of mortality in alcoholic hepatitis and derivation and validation of the Glasgow alcoholic hepatitis score

TL;DR: Using variables associated with mortality the authors have derived and validated an accurate scoring system to assess outcome in alcoholic hepatitis and this score was able to identify patients at greatest risk of death throughout their admission.