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https://ahro.austin.org.au/austinjspui/handle/1/19222
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DC Field | Value | Language |
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dc.contributor.author | Ridgeon, Elliott E | - |
dc.contributor.author | Young, Paul J | - |
dc.contributor.author | Bellomo, Rinaldo | - |
dc.contributor.author | Mucchetti, Marta | - |
dc.contributor.author | Lembo, Rosalba | - |
dc.contributor.author | Landoni, Giovanni | - |
dc.date.accessioned | 2018-09-13T00:21:13Z | - |
dc.date.available | 2018-09-13T00:21:13Z | - |
dc.date.issued | 2016-07 | - |
dc.identifier.citation | Critical Care Medicine 2016; 44(7): 1278-1284 | - |
dc.identifier.uri | https://ahro.austin.org.au/austinjspui/handle/1/19222 | - |
dc.description.abstract | 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). 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.iso | eng | - |
dc.title | The Fragility Index in Multicenter Randomized Controlled Critical Care Trials. | - |
dc.type | Journal Article | - |
dc.identifier.journaltitle | Critical Care Medicine | - |
dc.identifier.affiliation | Intensive Care Unit, Wellington Regional Hospital, Wellington, New Zealand | en |
dc.identifier.affiliation | Faculty 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, Australia | en |
dc.identifier.affiliation | Medical Research Institute of New Zealand, Wellington, New Zealand | en |
dc.identifier.affiliation | Department of Intensive Care, Austin Health, Heidelberg, Victoria, Australia | en |
dc.identifier.affiliation | Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy | en |
dc.identifier.affiliation | Vita-Salute San Raffaele University, Milan, Italy | en |
dc.identifier.doi | 10.1097/CCM.0000000000001670 | - |
dc.identifier.pubmedid | 26963326 | - |
dc.type.austin | Journal Article | - |
dc.type.austin | Review | - |
local.name.researcher | Bellomo, Rinaldo | |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.openairetype | Journal Article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | Intensive Care | - |
crisitem.author.dept | Data Analytics Research and Evaluation (DARE) Centre | - |
Appears in Collections: | Journal articles |
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