| Literature DB >> 27688630 |
Morgan Quinn1, Claire Moody1, Bill Tunnicliffe1, Zahid Khan1, Mav Manji1, Sandeep Gudibande1, Nick Murphy1, Tony Whitehouse1, Catherine Snelson1, Tonny Veenith2.
Abstract
OBJECTIVES: Sepsis is a common cause of morbidity and mortality and is associated with significant costs to the healthcare organizations. We performed a systematic review and meta-analysis to assess whether high or low-dose statin therapy improved mortality in patients with sepsis.Entities:
Keywords: High dose; low dose; mortality; sepsis; statin
Year: 2016 PMID: 27688630 PMCID: PMC5027747 DOI: 10.4103/0972-5229.190366
Source DB: PubMed Journal: Indian J Crit Care Med ISSN: 0972-5229
Figure 1Studies included in this meta-analysis
Figure 2Forest plot of proportional effect on 28-day mortality. Forest plot of proportional effect of all studies (low and high doses) on 28-day mortality (Diamonds = totals and subtotals [95% confidence interval]. Squares = individual studies [horizontal lines are 95% confidence intervals]. Area of square proportional to amount of statistical information in that category. Risk ratios are weighted to represent heterogeneity)
Figure 3Forest plot of proportional effect for in-hospital mortality of individual studies. Forest plot of proportional effect on in-hospital mortality (Diamonds = totals and subtotals [95% confidence interval]. Squares = individual studies [horizontal lines are 95% confidence intervals]. Area of square proportional to amount of statistical information in that category. Risk ratios are weighted to represent heterogeneity)
Characteristics of included studies
Assessment of risk of bias
Figure 4Forest plot of proportional effect for low dose statin, in-hospital mortality. Forest plot of proportional effect on in-hospital mortality (Diamonds = totals and subtotals [95% confidence interval]. Squares = individual studies [horizontal lines are 95% confidence intervals]. Area of square proportional to amount of statistical information in that category. Risk ratios are weighted to represent heterogeneity)
Figure 5Forest plot of proportional effect for high dose statin, in-hospital mortality. Forest plot of proportional effect on in-hospital mortality (Diamonds = totals and subtotals [95% confidence interval]. Squares = individual studies [horizontal lines are 95% confidence intervals]. Area of square proportional to amount of statistical information in that category. Risk ratios are weighted to represent heterogeneity)