Evidence map›Paper›PMID 24053492›Full record

ArticleBMC infectious diseases2013

An easy operating pathogen microarray (EOPM) platform for rapid screening of vertebrate pathogens.

Weiwei Huang, Yinhui Yang, Xinlei Zhang, Changan Zhao, Aihua Yin, Xiaozhuang Zhang, Zhengxin He, Yongqiang Jiang, Liang Zhang

Abstract readEvaluation Study
In one paragraph

Article in BMC infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. [Identification of bocavirus infection in a young child with pneumonia using a pan-microbial microarray].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2016
    Article
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

9 authors.

Weiwei HuangBioChain (Beijing) Science & Technology Inc,, No,7A, Yongchang North Rd, Business Development Area, Beijing 100176, China. jiangyq710327@sina.com.
Yinhui Yang
Xinlei Zhang
Changan Zhao
Aihua Yin
Xiaozhuang Zhang
Zhengxin He
Yongqiang Jiang
Liang Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfectious diseases emerge frequently in China, partly because of its large and highly mobile population. Therefore, a rapid and cost-effective pathogen screening method with broad coverage is required for prevention and control of infectious diseases. The availability of a large number of microbial genome sequences generated by conventional Sanger sequencing and next generation sequencing has enabled the development of a high-throughput high-density microarray platform for rapid large-scale screening of vertebrate pathogens.

methodsAn easy operating pathogen microarray (EOPM) was designed to detect almost all known pathogens and related species based on their genomic sequences. For effective identification of pathogens from EOPM data, a statistical enrichment algorithm has been proposed, and further implemented in a user-friendly web-based interface.

resultsUsing multiple probes designed to specifically detect a microbial genus or species, EOPM can correctly identify known pathogens at the species or genus level in blinded testing. Despite a lower sensitivity than PCR, EOPM is sufficiently sensitive to detect the predominant pathogens causing clinical symptoms. During application in two recent clinical infectious disease outbreaks in China, EOPM successfully identified the responsible pathogens.

conclusionsEOPM is an effective surveillance platform for infectious diseases, and can play an important role in infectious disease control.

Indexed as

AnimalsBacteriaChinaCommunicable DiseasesFungiHumansMicroarray AnalysisParasitesVertebratesViruses

Identifiers

PMID24053492
PMCPMC3848773

What OpenQuestion holds

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Registered trials

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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.