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Evaluation of the diagnostic accuracy of nonstructural protein 1 Ag-based tests for dengue virus in Asian population: a meta-analysis

Overview of attention for article published in BMC Infectious Diseases, August 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
2 tweeters
patent
1 patent
facebook
1 Facebook page

Citations

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20 Dimensions

Readers on

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63 Mendeley
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Title
Evaluation of the diagnostic accuracy of nonstructural protein 1 Ag-based tests for dengue virus in Asian population: a meta-analysis
Published in
BMC Infectious Diseases, August 2015
DOI 10.1186/s12879-015-1088-4
Pubmed ID
Authors

Xiaoyun Shan, Xiangmei Wang, Qing Yuan, Yaping Zheng, Honghe Zhang, Yihua Wu, Jun Yang

Abstract

Nonstructural protein 1 (NS1) Ag-based tests are useful for detecting dengue virus (DENV), but there is lack of evidence on the diagnostic accuracy of NS1 Ag-based tests in Asian population. Thus, we conducted this meta-analysis to obtain the overall estimated and summarized performance of the NS1 Ag-based tests in the detection of DENV in Asia. PubMed, Embase and Medline were searched for studies that evaluated the diagnostic validity of NS1 Ag-based tests between January 1990 and November 2014. Data were analyzed by Meta-Disc and STATA software. A total of 18 studies including 3342 dengue cases and 1904 control cases which fulfilled the inclusion criteria were considered for analysis. The pooled sensitivity and specificity for NS1 Ag-based tests was 66 % (95 % CI 64.5-67.5) and 97.9 % (95 % CI 97.3-100), respectively. STRIP has the overall highest sensitivity (72.9 %, 95 % CI 70.1-75.5). According to viral serotype, the test with the highest sensitivity for DENV1, DENV2 and DENV3 were Platelia (83.7 %, 95 % CI 79.7-87.1), Panbio (71.8 %, 95 % CI 65.5-80.9) and STRIP (81.9 %, 95 % CI 75.5-87.2) respectively. The highest sensitivity for primary infection was Platelia (95.1 %, 95 % CI 92.6-96.9) and for secondary infection was STRIP (64 %, 95 % CI 53.2-73.9). Our meta-analysis suggests that NS1 Ag-based test is a good diagnostic method for DENV with a high specificity. However, viral serotype, serological status, clinical severity and the duration of illness are the main factors influencing the diagnostic accuracy.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Colombia 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 22%
Student > Master 8 13%
Student > Bachelor 8 13%
Student > Ph. D. Student 4 6%
Professor > Associate Professor 4 6%
Other 10 16%
Unknown 15 24%
Readers by discipline Count As %
Medicine and Dentistry 14 22%
Agricultural and Biological Sciences 7 11%
Biochemistry, Genetics and Molecular Biology 5 8%
Immunology and Microbiology 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 13 21%
Unknown 17 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 28 December 2017.
All research outputs
#6,152,410
of 22,824,164 outputs
Outputs from BMC Infectious Diseases
#1,855
of 7,678 outputs
Outputs of similar age
#71,668
of 266,184 outputs
Outputs of similar age from BMC Infectious Diseases
#43
of 148 outputs
Altmetric has tracked 22,824,164 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,678 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done well, scoring higher than 75% 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 266,184 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 148 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 70% of its contemporaries.