Evidence map›Paper›PMID 16847083›Full record

ReviewClinical microbiology reviews2006

Application of molecular techniques to the study of hospital infection.

Aparajita Singh, Richard V Goering, Shabbir Simjee, Steven L Foley, Marcus J Zervos

Abstract readReview
In one paragraph

Review in Clinical microbiology reviews, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

  1. Article
  2. Genome Sequencing in Infectious Disease Outbreaks.Advances in experimental medicine and biology · 2026
    Review
  3. Article
  4. Article
  5. Outbreak ofAntibiotics (Basel, Switzerland) · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Epidemiological and Molecular Characteristics ofInfection and drug resistance · 2023
    Article
  10. Review
  11. Genetic diversity and virulence characteristics of biofilm-producing uropathogenic Escherichia coli.International microbiology : the official journal of the Spanish Society for Microbiology · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Transmission Dynamics of Carbapenem-ResistantFrontiers in microbiology · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Article

9 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

5 authors.

Aparajita SinghDepartment of Medicine, Section of Infectious Diseases, Henry Ford Hospital, Wayne State University School of Medicine, Detroit, MI 48202, USA.
Richard V Goering
Shabbir Simjee
Steven L Foley
Marcus J Zervos

Funding

PHS HHS CCR523452
6 · The paper itself

Abstract

Nosocomial infections are an important source of morbidity and mortality in hospital settings, afflicting an estimated 2 million patients in United States each year. This number represents up to 5% of hospitalized patients and results in an estimated 88,000 deaths and 4.5 billion dollars in excess health care costs. Increasingly, hospital-acquired infections with multidrug-resistant pathogens represent a major problem in patients. Understanding pathogen relatedness is essential for determining the epidemiology of nosocomial infections and aiding in the design of rational pathogen control methods. The role of pathogen typing is to determine whether epidemiologically related isolates are also genetically related. To determine molecular relatedness of isolates for epidemiologic investigation, new technologies based on DNA, or molecular analysis, are methods of choice. These DNA-based molecular methodologies include pulsed-field gel electrophoresis (PFGE), PCR-based typing methods, and multilocus sequence analysis. Establishing clonality of pathogens can aid in the identification of the source (environmental or personnel) of organisms, distinguish infectious from noninfectious strains, and distinguish relapse from reinfection. The integration of molecular typing with conventional hospital epidemiologic surveillance has been proven to be cost-effective due to the associated reduction in the number of nosocomial infections. Cost-effectiveness is maximized through the collaboration of the laboratory, through epidemiologic typing, and the infection control department during epidemiologic investigations.

Indexed as

Genetic TechniquesBacteriaBacterial InfectionsBacterial Typing TechniquesBase SequenceCross InfectionGenotypeHumansMolecular EpidemiologyMolecular Sequence DataPhenotypePolymerase Chain Reaction

Identifiers

PMID16847083
PMCPMC1539107

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.