医学
脆弱性
随机对照试验
临床试验
数据提取
四分位间距
样本量测定
梅德林
索引(排版)
重症监护医学
内科学
统计
万维网
法学
化学
物理化学
政治学
计算机科学
数学
作者
Elliott Ridgeon,Paul J. Young,Rinaldo Bellomo,Marta Mucchetti,Rosalba Lembo,Giovanni Landoni
标识
DOI:10.1097/ccm.0000000000001670
摘要
Objectives: Recent literature has drawn attention to the potential inadequacy of frequentist analysis and threshold p values as tools for reporting outcomes in clinical trials. The fragility index, which is a measure of how many events the statistical significance of a result depends on, has been suggested as a means to aid the interpretation of trial results. This study aimed to calculate the fragility index of clinical trials in critical care medicine reporting a statistically significant effect on mortality (increasing or decreasing mortality). Data Sources: Literature search (PubMed/MEDLINE) to identify all multicenter randomized controlled trials in critical care medicine. Study Selection: We identified 862 trials; of which 56 fulfilled eligibility criteria and were included in our analysis. Data Extraction: Calculation of fragility index for trials reporting a statistically significant effect on mortality, and analysis of the relationship between trial characteristics and fragility index. Data Synthesis: The median fragility index was 2 (interquartile range, 1–3.5), and greater than 40% of trials had a fragility index of less than or equal to 1. 12.5% of trials reported loss to follow-up greater than their fragility index. Trial sample size was positively correlated, and reported p value was negatively correlated, with fragility index. Conclusions: In critical care trials reporting statistically significant effects on mortality, the findings often depend on a small number of events. Critical care clinicians should be wary of basing decisions on trials with a low fragility index. We advocate the reporting of fragility index for future trials in critical care to aid interpretation and decision making by clinicians.
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