2020
DOI: 10.1371/journal.pone.0237879
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The weakness of fragility index exposed in an analysis of the traumatic brain injury management guidelines: A meta-epidemiological and simulation study

Abstract: Objectives To perform fragility index (FI) analysis on the evidence that forms the basis of the guidelines for the management of severe traumatic brain injury (TBI), and develop a deeper understanding of the pitfalls associated with FI. Design Meta-epidemiological analysis and numerical simulations. Methods The Brain Trauma Foundation guidelines (4 th edition) for management of severe TBI were used to identify relevant randomised controlled trials (RCTs). FI based on Fisher's exact test and relative risk was p… Show more

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Cited by 14 publications
(15 citation statements)
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“…Consequently, the interpretation of both fragility index and quotient is difficult and meaningful values are unknown. Besides the well-described inverse relationship between fragility measures and P values [17,20,22,24], the fragility index is linked to sample size; with a fixed number of events in the intervention group, the fragility index varies linearly with the number of events in the control group [24]. Moreover, the fragility index is directly related to larger sample sizes, because larger sample sizes result in smaller P values due to the relationship to more extreme tables in two by two tables [17].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Consequently, the interpretation of both fragility index and quotient is difficult and meaningful values are unknown. Besides the well-described inverse relationship between fragility measures and P values [17,20,22,24], the fragility index is linked to sample size; with a fixed number of events in the intervention group, the fragility index varies linearly with the number of events in the control group [24]. Moreover, the fragility index is directly related to larger sample sizes, because larger sample sizes result in smaller P values due to the relationship to more extreme tables in two by two tables [17].…”
Section: Discussionmentioning
confidence: 99%
“…In this example, the smaller study would have a fragility index of one compared to a fragility index of nine in the larger study despite a highly different effect size [26]. The fragility index can actively be influenced by the a priori power: the higher this parameter is calculated for, the larger the fragility index will result-in particular if small effect sizes are chased-due to the relationship to sample size [24].…”
Section: Discussionmentioning
confidence: 99%
“…This relationship explains the correlation between fragility, reverse fragility indices, and patient numbers in the trials. This relationship could be expected based on statistical simulation [ 40 , 48 , 49 ]. This aspect is of particular relevance for paediatric surgery: in addition to the challenges of all surgical specialties when conducting trials, [ 50 ] paediatric surgery is further limited by the low incidence of congenital anomalies [ 51 ].…”
Section: Discussionmentioning
confidence: 85%
“…FI is also linked to sample size; it linearly varies with the number of events in the control group while keeping fixed the number of events in the intervention group [30]. This is the reason why FI in studies on COVID-19 ARDS is higher than FI in non COVID-19 ARDS studies, since 6474 patients were e involved in COVID-19 ARDS RCTs with FI > 0 and 347 patients were involved in non-COVID-19 ARDS RCTs with FI > 0.…”
Section: Discussionmentioning
confidence: 99%