2011
DOI: 10.1007/s11845-011-0741-1
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Biomarkers for the differentiation of sepsis and SIRS: the need for the standardisation of diagnostic studies

Abstract: The biomarkers described reflect the difficulties in making evidence-based recommendations particularly when interpreting studies where the methodology is of poor quality and the results are conflicting. We are reminded of our responsibilities to ensure high quality and standardised study design as articulated by the STAndards for the Reporting of Diagnostic accuracy studies (STARD) initiative.

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Cited by 15 publications
(13 citation statements)
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References 50 publications
(30 reference statements)
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“…Most of those studies addressed the transcriptome or proteome for biomarker identifi cation (7)(8)(9). Even though 178 different biomarkers for sepsis have been proposed ( 7 ), most of them have only prognostic and not discriminative value.…”
mentioning
confidence: 99%
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“…Most of those studies addressed the transcriptome or proteome for biomarker identifi cation (7)(8)(9). Even though 178 different biomarkers for sepsis have been proposed ( 7 ), most of them have only prognostic and not discriminative value.…”
mentioning
confidence: 99%
“…Even though 178 different biomarkers for sepsis have been proposed ( 7 ), most of them have only prognostic and not discriminative value. Only few have been suggested for differentiation of noninfectious induced SIRS from sepsis, and the majority have not been validated for clinical routine use ( 9 ). The only marker widely accepted in the clinical setting is procalcitonin.…”
mentioning
confidence: 99%
“…), a single specimen type (whole blood, plasma, and serum), and a single cutoff value in the absence of a single reference standard. From the existing literature, this goal also seems unlikely until some form of standardization or procedural norm is established for conducting future studies (2). Further, no single marker carries the necessary sensitivity, specificity, or positive or negative predictive value to stand on its own.…”
Section: Discussionmentioning
confidence: 99%
“…However, not all is lost. We are beginning to appreciate the hidden value buried in some of these biomarkers-e.g., using PCT to support antimicrobial stewardship, determining the duration of antimicrobial therapy, and ruling out rather than comfirming sepsis (2,3,10,13). In that sense, the use of transcriptome analysis to differentiate sepsis from SIRS and to predict patient risk for developing sepsis and organ failure seems to be a promising approach that could be developed over time into a nonbiased database of differential gene expression using standardized sequence-based and hybridization technologies.…”
Section: Discussionmentioning
confidence: 99%
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