Clinical and microbiological features of infection in alcoholic hepatitis: an international cohort study
Richard Parker; Gene Y. Im; Fiona Jones; Onán Pérez Hernández; Jonathan Nahas; Aditi Kumar; Daniel Wheatley; Ashish Sinha · 2017 · Journal of Gastroenterology
WASTE classifies this as Abandoned Hypothesis · AI classification, approximate
A hypothesis was tested and not supported — a dead end worth knowing about before you pursue it.
Abstract
BACKGROUND: Previous studies have described the clinical impact of infection in alcoholic hepatitis (AH) but none have comprehensively explored the aetiopathogenesis of infection in this setting. We examined the causes, consequences and treatment of infection in a cohort of patients with AH. METHODS: We undertook a retrospective cohort study of patients with AH admitted between 2009 and 2014 to seven centres in Europe and the USA. Clinical and microbiological data were extracted from medical records. Survival was analysed with Kaplan-Meier analysis and Cox proportional hazards analysis to cont
Abstract by Richard Parker; Gene Y. Im; Fiona Jones; Onán Pérez Hernández; Jonathan Nahas; Aditi Kumar; Daniel Wheatley; Ashish Sinha, Journal of Gastroenterology (2017) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
A Randomized Trial of Intraarterial Treatment for Acute Ischemic Stroke
Negative / Null Result ReportDuodenal Infusion of Donor Feces for Recurrent Clostridium difficile
Negative / Null Result ReportStenting versus Endarterectomy for Treatment of Carotid-Artery Stenosis
Negative / Null Result ReportEffects of Combination Lipid Therapy in Type 2 Diabetes Mellitus
Replication FailureA Randomized Trial of Bevacizumab for Newly Diagnosed Glioblastoma
Negative / Null Result ReportSpironolactone for Heart Failure with Preserved Ejection Fraction
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1007/s00535-017-1336-z
