Assessing trial representativeness using serious adverse events: an observational analysis using aggregate and individual-level data from clinical trials and routine healthcare data

HIGHLIGHTS

  • who: Peter Hanlon from the School for Health and Wellbeing, University of Glasgow, Glasgow, UK have published the research work: Assessing trial representativeness using serious adverse events: an observational analysis using aggregate and individual-level data from clinical trials and routine healthcare data, in the Journal: (JOURNAL)
  • what: The authors explore an approach assessing trial representativeness by comparing rates of trial serious adverse events (SAE) to rates of hospitalisation/death in routine care. The aim of collecting SAE data is to detect if the treatments being tested in the trial are harmful. In trials for . . .

     

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