Evidence map›Paper›PMID 17502915›Full record

ArticlePloS one2007

Application of broad-spectrum, sequence-based pathogen identification in an urban population.

Baochuan Lin, Anthony P Malanoski, Zheng Wang, Kate M Blaney, Adam G Ligler, Robb K Rowley, Eric H Hanson, Erik von Rosenvinge, Frances S Ligler, Anne W Kusterbeck and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Characterization of microbial pathogens by DNA microarrays.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2009
    Review
  12. Article
  13. Article
  14. Resequencing arrays for diagnostics of respiratory pathogens.Methods in molecular biology (Clifton, N.J.) · 2009
    Article
  15. 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

16 authors at 6 institutions in 1 country.

Baochuan LinCenter for Bio/Molecular Science and Engineering, Code 6900, Naval Research Laboratory, Washington, DC, United States of America. baochuan.lin@nrl.navy.mil
Anthony P Malanoski
Zheng Wang
Kate M Blaney
Adam G Ligler
Robb K Rowley
Eric H Hanson
Erik von Rosenvinge
Frances S Ligler
Anne W Kusterbeck
David Metzgar
Christopher P Barrozo
Kevin L Russell
Clark Tibbetts
Joel M Schnur
David A Stenger
United States Naval Research Laboratory · USNaval Health Research Center · USNova Research Company (United States) · USUnited States Air Force · USNaval Research Laboratory Center for Bio/Molecular Science and EngineeringMalcolm Grow Medical Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A broad spectrum detection platform that provides sequence level resolution of target regions would have a significant impact in public health, case management, and means of expanding our understanding of the etiology of diseases. A previously developed respiratory pathogen microarray (RPM v.1) demonstrated the capability of this platform for this purpose. This newly developed RPM v.1 was used to analyze 424 well-characterized nasal wash specimens from patients presenting with febrile respiratory illness in the Washington, D. C. metropolitan region. For each specimen, the RPM v.1 results were compared against composite reference assay (viral and bacterial culture and, where appropriate, RT-PCR/PCR) results. Across this panel, the RPM assay showed >or=98% overall agreement for all the organisms detected compared with reference methods. Additionally, the RPM v.1 results provide sequence information which allowed phylogenetic classification of circulating influenza A viruses in approximately 250 clinical specimens, and allowed monitoring the genetic variation as well as antigenic variability prediction. Multiple pathogens (2-4) were detected in 58 specimens (13.7%) with notably increased abundances of respiratory colonizers (esp. S. pneumoniae) during viral infection. This first-ever comparison of a broad-spectrum viral and bacterial identification technology of this type against a large battery of conventional "gold standard" assays confirms the utility of the approach for both medical surveillance and investigations of complex etiologies of illness caused by respiratory co-infections.

Indexed as

Urban PopulationBacteriaHumansOrthomyxoviridaePhylogenyRespiratory Tract DiseasesReverse Transcriptase Polymerase Chain Reaction

Identifiers

PMID17502915
PMCPMC1855431
OpenAlexW2022669948

What OpenQuestion holds

Textmetadata
LicenceCC0
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.