Abstract

OBJECTIVE: To study ICU trials published in the four highest-impact general medicine journals by comparing them with concurrently published non-ICU trials in the same journals. DATA SOURCES: PubMed was searched for randomized controlled trials (RCTs) published between January 2014 and October 2021 in the New England Journal of Medicine , The Lancet , the Journal of the American Medical Association , and the British Medical Journal. STUDY SELECTION: Original RCT publications investigating any type of intervention in any patient population. DATA EXTRACTION: ICU RCTs were defined as RCTs exclusively including patients admitted to the ICU. Year and journal of publication, sample size, study design, funding source, study outcome, type of intervention, Fragility Index (FI), and Fragility Quotient were collected. DATA SYNTHESIS: A total of 2,770 publications were screened. Of 2,431 original RCTs, 132 (5.4%) were ICU RCTs, gradually rising from 4% in 2014 to 7.5% in 2021. ICU RCTs and non-ICU RCTs included a comparable number of patients (634 vs 584, p = 0.528). Notable differences for ICU RCTs were the low occurrence of commercial funding (5% vs 36%, p < 0.001), the low number of RCTs that reached statistical significance (29% vs 65%, p < 0.001), and the low FI when they did reach significance (3 vs 12, p = 0.008). CONCLUSIONS: In the last 8 years, RCTs in ICU medicine made up a meaningful, and growing, portion of RCTs published in high-impact general medicine journals. In comparison with concurrently published RCTs in non-ICU disciplines, statistical significance was rare and often hinged on the outcome events of just a few patients. Increased attention should be paid to realistic expectations of treatment effects when designing ICU RCTs to detect differences in treatment effects that are reliable and clinically relevant.

Original languageEnglish
Pages (from-to)e179-e183
JournalCritical Care Medicine
Volume51
Issue number9
DOIs
Publication statusPublished - 1 Sept 2023

Keywords

  • Fragility Index
  • bias
  • clinical trials
  • critical care
  • funding
  • intensive care
  • sample size

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