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Delta neutrophil index (DNI) as a novel diagnostic and prognostic marker of infection: a systematic review and meta-analysis

Overview of attention for article published in Inflammation Research, June 2017
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Title
Delta neutrophil index (DNI) as a novel diagnostic and prognostic marker of infection: a systematic review and meta-analysis
Published in
Inflammation Research, June 2017
DOI 10.1007/s00011-017-1066-y
Pubmed ID
Authors

Jae Hyon Park, Hyeong Ju Byeon, Keum Hwa Lee, Jong Wook Lee, Andreas Kronbichler, Michael Eisenhut, Jae Il Shin

Abstract

Delta neutrophil index (DNI) representing the number of immature granulocytes is an emerging marker used in diagnosis of infections and prediction of mortality in infected patients. The present study evaluated the diagnostic accuracy of DNI as a predictive and prognostic factor in infected patients. We performed a PubMed search on January 1st, 2017 and identified studies that evaluated DNI as either a predictive or prognostic factor in infected patients. Studies with appropriate information to construct 2 × 2 contingency tables were extracted. We calculated pooled sensitivity and specificity. Meta-analysis of the multivariate logistic regression data set was performed to assess whether DNI functions as an independent factor. Overall, 12 articles fulfilled the inclusion criteria and a total of 499 cases and 9549 controls were examined. As a predictive factor of infection, DNI's pooled sensitivity was 0.67 (95% CI 0.62-0.71, I (2) = 86.0%) and pooled specificity was 0.94 (95% CI 0.94-0.95, I (2) = 92.8%). Area under the receiver operating characteristics (ROC) curve was 0.89. As a prognostic factor for death in infected patients, DNI's pooled sensitivity was 0.70 (95% CI 0.56-0.81, I (2) = 0.0%) and pooled specificity was 0.78 (95% CI 0.73-0.83, I (2) = 26.6%). Area under the ROC curve was 0.84. Meta-analysis of the multivariate logistic regression data set showed insignificant results. DNI is a potentially useful diagnostic tool and predicts mortality among infected patients and should be more widely used in the clinical practice.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 17%
Other 6 17%
Student > Doctoral Student 5 14%
Student > Master 3 8%
Student > Bachelor 2 6%
Other 5 14%
Unknown 9 25%
Readers by discipline Count As %
Medicine and Dentistry 21 58%
Environmental Science 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Immunology and Microbiology 1 3%
Nursing and Health Professions 1 3%
Other 2 6%
Unknown 9 25%
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 26 June 2017.
All research outputs
#20,429,992
of 22,982,639 outputs
Outputs from Inflammation Research
#790
of 960 outputs
Outputs of similar age
#275,504
of 316,289 outputs
Outputs of similar age from Inflammation Research
#7
of 13 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.