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The accuracy of presepsin (sCD14-ST) for the diagnosis of sepsis in adults: a meta-analysis

Overview of attention for article published in Critical Care, December 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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1 news outlet
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14 X users
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1 Facebook page

Citations

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97 Dimensions

Readers on

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103 Mendeley
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Title
The accuracy of presepsin (sCD14-ST) for the diagnosis of sepsis in adults: a meta-analysis
Published in
Critical Care, December 2015
DOI 10.1186/s13054-015-1032-4
Pubmed ID
Authors

Xin Zhang, Dan Liu, You-Ning Liu, Rui Wang, Li-Xin Xie

Abstract

The early diagnosis of sepsis remains a challenge. Recently, soluble cluster of differentiation 14 subtype (sCD14-ST), also known as presepsin, has been identified as a potential biomarker of sepsis. We performed a meta-analysis to assess the diagnostic accuracy of presepsin for sepsis in patients with systemic inflammation. We systematically searched the PubMed, Embase, Web of Knowledge and Cochrane databases. Studies were included if they assessed the diagnostic accuracy of presepsin for sepsis in adult patients with systemic inflammatory response syndrome (SIRS). Furthermore, a 2 × 2 contingency table was constructed based on these results. Two authors independently judged the studies and extracted the data. The diagnostic accuracy of presepsin in sepsis was calculated using a bivariate meta-analysis model. The Q-test and I (2) index were used to test the heterogeneity. Eight studies involving a total of 1,815 patients were included in the present study. The pooled sensitivity, specificity, diagnostic odds ratio, positive likelihood ratio and negative likelihood ratio were 0.86 (95 % CI: 0.79-0.91), 0.78 (95 % CI: 0.68-0.85), 22 (95 % CI: 10-48), 3.8 (95 % CI: 2.6-5.7), and 0.18 (95 % CI: 0.11-0.28), respectively. The area under the summary receiver operator characteristic curve was 0.89 (95 % CI: 0.86-0.92). Meta-regression analysis revealed that consecutive patient selection, sample size and setting significantly accounted for the heterogeneity of sensitivity. Our findings suggest that presepsin exhibits very good diagnostic accuracy (AUC=0.89) for the diagnosis for sepsis. Nevertheless, an overall assessment of all the clinical indexes for sepsis diagnosis and continual re-evaluation of presepsin during the course of the disease are needed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 <1%
Italy 1 <1%
Unknown 101 98%

Demographic breakdown

Readers by professional status Count As %
Other 15 15%
Student > Master 15 15%
Researcher 11 11%
Student > Postgraduate 8 8%
Student > Bachelor 7 7%
Other 20 19%
Unknown 27 26%
Readers by discipline Count As %
Medicine and Dentistry 46 45%
Biochemistry, Genetics and Molecular Biology 6 6%
Immunology and Microbiology 6 6%
Engineering 3 3%
Arts and Humanities 2 2%
Other 10 10%
Unknown 30 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 March 2023.
All research outputs
#2,003,542
of 25,373,627 outputs
Outputs from Critical Care
#1,789
of 6,554 outputs
Outputs of similar age
#32,688
of 395,397 outputs
Outputs of similar age from Critical Care
#130
of 466 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 395,397 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 466 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.