Evidence map›Paper›PMID 17531104›Full record

ArticleGenome biology2007

Optimization and clinical validation of a pathogen detection microarray.

Christopher W Wong, Charlie Lee Wah Heng, Leong Wan Yee, Shirlena W L Soh, Cissy B Kartasasmita, Eric A F Simoes, Martin L Hibberd, Wing-Kin Sung, Lance D Miller

Abstract read
In one paragraph

Article in Genome biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  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
  6. Article
  7. Article
  8. Article
  9. Article
  10. Pathogen chip for respiratory tract infections.Journal of clinical microbiology · 2013
    Article
  11. Article
  12. Review
  13. Emerging view of the human virome.Translational research : the journal of laboratory and clinical medicine · 2012
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Christopher W WongGenomic Technologies, Genome Institute of Singapore, Republic of Singapore. wongc@gis.a-star.edu.sg
Charlie Lee Wah Heng
Leong Wan Yee
Shirlena W L Soh
Cissy B Kartasasmita
Eric A F Simoes
Martin L Hibberd
Wing-Kin Sung
Lance D Miller

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA microarrays used as 'genomic sensors' have great potential in clinical diagnostics. Biases inherent in random PCR-amplification, cross-hybridization effects, and inadequate microarray analysis, however, limit detection sensitivity and specificity. Here, we have studied the relationships between viral amplification efficiency, hybridization signal, and target-probe annealing specificity using a customized microarray platform. Novel features of this platform include the development of a robust algorithm that accurately predicts PCR bias during DNA amplification and can be used to improve PCR primer design, as well as a powerful statistical concept for inferring pathogen identity from probe recognition signatures. Compared to real-time PCR, the microarray platform identified pathogens with 94% accuracy (76% sensitivity and 100% specificity) in a panel of 36 patient specimens. Our findings show that microarrays can be used for the robust and accurate diagnosis of pathogens, and further substantiate the use of microarray technology in clinical diagnostics.

Indexed as

Oligonucleotide Array Sequence AnalysisAlgorithmsBacteriaBacterial InfectionsBacteriological TechniquesBuchneraDNA, BacterialEscherichia coliGenome, BacterialPolymerase Chain ReactionSensitivity and SpecificityDNA, Bacterial

Identifiers

PMID17531104
PMCPMC1929155

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.