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.
Pharmacology, Toxicology and Pharmaceutical Science
3
4%
Other
11
16%
Unknown
21
30%
Attention Score in Context
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.
