Evidence map›Paper›PMID 22369052›Full record

ArticleVirology journal2012

Development of an ELISA-array for simultaneous detection of five encephalitis viruses.

Xiaoping Kang, Yuchang Li, Li Fan, Fang Lin, Jingjing Wei, Xiaolei Zhu, Yi Hu, Jing Li, Guohui Chang, Qingyu Zhu and 2 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in Virology journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Xiaoping KangDepartment of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.
Yuchang Li
Li Fan
Fang Lin
Jingjing Wei
Xiaolei Zhu
Yi Hu
Jing Li
Guohui Chang
Qingyu Zhu
Hong Liu
Yinhui Yang
Wuhan Institute of Virology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Japanese encephalitis virus(JEV), tick-borne encephalitis virus(TBEV), and eastern equine encephalitis virus (EEEV) can cause symptoms of encephalitis. Establishment of accurate and easy methods by which to detect these viruses is essential for the prevention and treatment of associated infectious diseases. Currently, there are still no multiple antigen detection methods available clinically. An ELISA-array, which detects multiple antigens, is easy to handle, and inexpensive, has enormous potential in pathogen detection. An ELISA-array method for the simultaneous detection of five encephalitis viruses was developed in this study. Seven monoclonal antibodies against five encephalitis-associated viruses were prepared and used for development of the ELISA-array. The ELISA-array assay is based on a "sandwich" ELISA format and consists of viral antibodies printed directly on 96-well microtiter plates, allowing for direct detection of 5 viruses. The developed ELISA-array proved to have similar specificity and higher sensitivity compared with the conventional ELISAs. This method was validated by different viral cultures and three chicken eggs inoculated with infected patient serum. The results demonstrated that the developed ELISA-array is sensitive and easy to use, which would have potential for clinical use.

Indexed as

AnimalsAntibodies, ViralChickensClinical Laboratory TechniquesEncephalitis, ViralEncephalitis Virus, Eastern EquineEncephalitis Viruses, Tick-BorneEncephalitis Virus, JapaneseEnzyme-Linked Immunosorbent AssayHumansSensitivity and SpecificityVirologyAntibodies, Viral

Identifiers

PMID22369052
PMCPMC3305475
OpenAlexW2170690266

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.