Evidence map›Paper›PMID 16223949›Full record

ReviewClinical microbiology reviews2005

Current and developing technologies for monitoring agents of bioterrorism and biowarfare.

Daniel V Lim, Joyce M Simpson, Elizabeth A Kearns, Marianne F Kramer

Abstract readReview
In one paragraph

Review in Clinical microbiology reviews, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing 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

72 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Optical Sensors for Bacterial Detection.Sensors (Basel, Switzerland) · 2023
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Rapid and Sensitive Multiplex Assay for the Detection ofPathogens (Basel, Switzerland) · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

12 more citing papers are in PubMed but not listed here.

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

4 authors.

Daniel V LimDepartment of Biology, Center for Biological Defense, University of South Florida, Tampa, FL 33620-5200, USA. Lim@cas.usf.edu
Joyce M Simpson
Elizabeth A Kearns
Marianne F Kramer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent events have made public health officials acutely aware of the importance of rapidly and accurately detecting acts of bioterrorism. Because bioterrorism is difficult to predict or prevent, reliable platforms to rapidly detect and identify biothreat agents are important to minimize the spread of these agents and to protect the public health. These platforms must not only be sensitive and specific, but must also be able to accurately detect a variety of pathogens, including modified or previously uncharacterized agents, directly from complex sample matrices. Various commercial tests utilizing biochemical, immunological, nucleic acid, and bioluminescence procedures are currently available to identify biological threat agents. Newer tests have also been developed to identify such agents using aptamers, biochips, evanescent wave biosensors, cantilevers, living cells, and other innovative technologies. This review describes these current and developing technologies and considers challenges to rapid, accurate detection of biothreat agents. Although there is no ideal platform, many of these technologies have proved invaluable for the detection and identification of biothreat agents.

Indexed as

Biological WarfareBioterrorismImmunoassayCommunicable Disease ControlCommunicable DiseasesHumansMolecular Diagnostic TechniquesOligonucleotide Array Sequence AnalysisPolymerase Chain Reaction

Identifiers

PMID16223949
PMCPMC1265906

What OpenQuestion holds

Textmetadata
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.