Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/19222
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dc.contributor.authorRidgeon, Elliott E-
dc.contributor.authorYoung, Paul J-
dc.contributor.authorBellomo, Rinaldo-
dc.contributor.authorMucchetti, Marta-
dc.contributor.authorLembo, Rosalba-
dc.contributor.authorLandoni, Giovanni-
dc.date.accessioned2018-09-13T00:21:13Z-
dc.date.available2018-09-13T00:21:13Z-
dc.date.issued2016-07-
dc.identifier.citationCritical Care Medicine 2016; 44(7): 1278-1284-
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/19222-
dc.description.abstractRecent 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). Literature search (PubMed/MEDLINE) to identify all multicenter randomized controlled trials in critical care medicine. We identified 862 trials; of which 56 fulfilled eligibility criteria and were included in our analysis. Calculation of fragility index for trials reporting a statistically significant effect on mortality, and analysis of the relationship between trial characteristics and fragility index. 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. 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.-
dc.language.isoeng-
dc.titleThe Fragility Index in Multicenter Randomized Controlled Critical Care Trials.-
dc.typeJournal Article-
dc.identifier.journaltitleCritical Care Medicine-
dc.identifier.affiliationIntensive Care Unit, Wellington Regional Hospital, Wellington, New Zealanden
dc.identifier.affiliationFaculty of Medicine, the University of Melbourne and Australian and New Zealand Intensive Care Research Centre, Monash University School of Public Health and Preventive Medicine, Melbourne, Victoria, Australiaen
dc.identifier.affiliationMedical Research Institute of New Zealand, Wellington, New Zealanden
dc.identifier.affiliationDepartment of Intensive Care, Austin Health, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationDepartment of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italyen
dc.identifier.affiliationVita-Salute San Raffaele University, Milan, Italyen
dc.identifier.doi10.1097/CCM.0000000000001670-
dc.identifier.pubmedid26963326-
dc.type.austinJournal Article-
dc.type.austinReview-
local.name.researcherBellomo, Rinaldo
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeJournal Article-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
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