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10.2147/TCRM.S84811 http://scihub22266oqcxt.onion/10.2147/TCRM.S84811 C4494627!4494627!26170681     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26170681&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Ther+Clin+Risk+Manag 2015 ; 11 (ä): 1027-33 Nephropedia Template TP {{tp|p=26170681|t=2015. Presepsin as a diagnostic marker for sepsis: evidence from a bivariate meta-analysis |pdf=|usr=}}{{26170681}} gab.com Text Presepsin as a diagnostic marker for sepsis: evidence from a bivariate meta-analysis JO: Ther Clin Risk Manag http://www.kidney.de/pget.php?&tw=1&pmid=26170681 #FOAvip Background: The diagnosis of sepsis remains a clinical challenge. Many studies suggest that presepsin plays a role in diagnosing sepsis, but the results remain controversial. This study aimed to identify the overall diagnostic accuracy of presepsin for sepsis through meta-analysis. Methods: A systematic literature search was performed in PubMed and EMBASE to identify studies evaluating the diagnostic accuracy of presepsin in sepsis patients. Data were retrieved and the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio (DOR) were calculated. A summary receiver operating characteristic curve and area under curve (AUC) were used to evaluate the overall diagnostic performance. The statistical analysis was performed using Stata 12.0 and Meta-DiSc 1.4 software. Results: Eleven publications with 3,106 subjects were included in the meta-analysis. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and DOR were 0.83 (95% confidence interval [CI] 0.77?0.88), 0.81 (95% CI 0.74?0.87), 4.43 (95% CI 3.05?6.43), 0.21 (95% CI 0.14?0.30), and 21.56 (95% CI 10.59?43.88), respectively. The area under the curve was 0.89 (95% CI 0.86?0.92). Estimated positive and negative post-probability values for a sepsis prevalence of 20% were 53% and 5%, respectively. No publication bias was identified. Conclusion: Based on currently available evidence, presepsin may have a valuable role in the diagnosis of sepsis, and its results should be interpreted carefully in the context of clinical condition and traditional markers. Twit Text FOAVip Presepsin as a diagnostic marker for sepsis: evidence from a bivariate meta-analysis ????Ther Clin Risk Manag http://www.kidney.de/pget.php?&tw=1&pmid=26170681 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26170681 #FOAvip English Wikipedia <ref>{{Cite pmid|26170681}}</ref> Presepsin as a diagnostic marker for sepsis: evidence from a bivariate meta-analysis #MMPMID26170681 Tong X; Cao Y; Yu M; Han C Ther Clin Risk Manag 2015[]; 11 (ä): 1027-33 PMID26170681show ga Background: The diagnosis of sepsis remains a clinical challenge. Many studies suggest that presepsin plays a role in diagnosing sepsis, but the results remain controversial. This study aimed to identify the overall diagnostic accuracy of presepsin for sepsis through meta-analysis. Methods: A systematic literature search was performed in PubMed and EMBASE to identify studies evaluating the diagnostic accuracy of presepsin in sepsis patients. Data were retrieved and the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio (DOR) were calculated. A summary receiver operating characteristic curve and area under curve (AUC) were used to evaluate the overall diagnostic performance. The statistical analysis was performed using Stata 12.0 and Meta-DiSc 1.4 software. Results: Eleven publications with 3,106 subjects were included in the meta-analysis. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and DOR were 0.83 (95% confidence interval [CI] 0.77?0.88), 0.81 (95% CI 0.74?0.87), 4.43 (95% CI 3.05?6.43), 0.21 (95% CI 0.14?0.30), and 21.56 (95% CI 10.59?43.88), respectively. The area under the curve was 0.89 (95% CI 0.86?0.92). Estimated positive and negative post-probability values for a sepsis prevalence of 20% were 53% and 5%, respectively. No publication bias was identified. Conclusion: Based on currently available evidence, presepsin may have a valuable role in the diagnosis of sepsis, and its results should be interpreted carefully in the context of clinical condition and traditional markers. äPresepsin as a diagnostic marker for sepsis: evidence from a bivariate(epmc).pdf DeepDyve Pubget Overpricing