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Diagnostic value of decoy receptor 3 combined with procalcitonin and soluble urokinase-type plasminogen activator receptor for sepsis

Overview of attention for article published in Cellular & Molecular Biology Letters, May 2018
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Title
Diagnostic value of decoy receptor 3 combined with procalcitonin and soluble urokinase-type plasminogen activator receptor for sepsis
Published in
Cellular & Molecular Biology Letters, May 2018
DOI 10.1186/s11658-018-0087-z
Pubmed ID
Authors

Jing-jing Zhao, Xiao-Li Lou, Hong-wei Chen, Feng-ting Zhu, Yan-Qiang Hou

Abstract

The levels of decoy receptor 3 (DcR3), soluble urokinase type plasminogen activator receptor (suPAR) and procalcitonin (PCT) are significantly increased in sepsis. We investigated the diagnostic value of DcR3 combined with suPAR and PCT in sepsis. Patients with sepsis, non-infectious systemic inflammatory response comprehensive syndrome (SIRS) and healthy controls were recruited according to the diagnostic standard. We measured DcR3, suPAR, PCT, interleukin-6 (IL-6) and C-reactive protein (CRP), and the diagnostic value was evaluated by receiver operating characteristics (ROC) curves. In our analysis, serum DcR3, suPAR and PCT levels of the sepsis group were significantly higher than those of the SIRS and control groups. However, IL-6, CRP and WBC showed no significant difference between the SIRS group and the sepsis group. The serum DcR3 level was positively correlated with the serum suPAR level (r = 0.37, p = 0.0022) and PCT level (r = 0.37, p = 0.0021). Using DcR3, suPAR and PCT to distinguish SIRS from sepsis, the area under the curve (AUC) values were 0.892, 0.778 and 0.692. When DcR3, suPAR and PCT combined were used for diagnosis of sepsis, the AUC was 0.933, at a cut-off point of 0.342. This combination improved the sensitivity and specificity of diagnosis of sepsis, suggesting that use of the combination of three indexes enhanced the efficiency of sepsis diagnosis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Other 4 13%
Student > Ph. D. Student 3 9%
Student > Doctoral Student 2 6%
Student > Bachelor 1 3%
Other 2 6%
Unknown 14 44%
Readers by discipline Count As %
Medicine and Dentistry 12 38%
Biochemistry, Genetics and Molecular Biology 2 6%
Nursing and Health Professions 2 6%
Unspecified 1 3%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 13 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 May 2018.
All research outputs
#18,606,163
of 23,047,237 outputs
Outputs from Cellular & Molecular Biology Letters
#249
of 486 outputs
Outputs of similar age
#253,707
of 327,425 outputs
Outputs of similar age from Cellular & Molecular Biology Letters
#7
of 16 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 486 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.