| Title |
Accuracy of LightCycler® SeptiFast for the detection and identification of pathogens in the blood of patients with suspected sepsis: a systematic review and meta-analysis
|
|---|---|
| Published in |
Intensive Care Medicine, November 2014
|
| DOI | 10.1007/s00134-014-3553-8 |
| Pubmed ID | |
| Authors |
Paul Dark, Bronagh Blackwood, Simon Gates, Danny McAuley, Gavin D. Perkins, Ronan McMullan, Claire Wilson, Daniel Graham, Kate Timms, Geoffrey Warhurst |
| Abstract |
There is an urgent need to develop diagnostic tests to improve the detection of pathogens causing life-threatening infection (sepsis). SeptiFast is a CE-marked multi-pathogen real-time PCR system capable of detecting DNA sequences of bacteria and fungi present in blood samples within a few hours. We report here a systematic review and meta-analysis of diagnostic accuracy studies of SeptiFast in the setting of suspected sepsis. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Russia | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 105 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 20% |
| Student > Ph. D. Student | 15 | 14% |
| Other | 12 | 11% |
| Student > Master | 9 | 8% |
| Professor | 7 | 6% |
| Other | 22 | 20% |
| Unknown | 21 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 29% |
| Agricultural and Biological Sciences | 15 | 14% |
| Biochemistry, Genetics and Molecular Biology | 10 | 9% |
| Immunology and Microbiology | 8 | 7% |
| Engineering | 7 | 6% |
| Other | 13 | 12% |
| Unknown | 24 | 22% |
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 17 December 2014.
All research outputs
#18,386,678
of 22,774,233 outputs
Outputs from Intensive Care Medicine
#4,418
of 4,973 outputs
Outputs of similar age
#261,758
of 361,577 outputs
Outputs of similar age from Intensive Care Medicine
#46
of 54 outputs
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We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.