Evidence map›Paper›PMID 21258866›Full record

ReviewMolecular biology reports2011

Class 1 integron in staphylococci.

Zhenbo Xu, Lin Li, Lei Shi, Mark E Shirtliff

Open access · greenAbstract readReview
In one paragraph

Review in Molecular biology reports, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

41 citing papers in PubMed, 116 citations in OpenAlex.

  1. Review
  2. Article
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  4. Review
  5. Antimicrobial resistance and genetic diversity ofOne health (Amsterdam, Netherlands) · 2022
    Article
  6. Frontiers in microbiology · 2022
    Review
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  11. Review
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  13. Review
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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 at 2 institutions in 3 countries.

Zhenbo XuCollege of Light Industry and Food Sciences, South China University of Technology, Guangzhou, China.
Lin Li
Lei Shi
Mark E Shirtliff
South China University of Technology · CNUniversity of Maryland, Baltimore · US

Funding

Staphylococcus aureus biofilms: in vitro and in vivo studiesR01AI069568 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI SHIRTLIFF, MARK E · 2007 to 2011
$2.1M
NIAID NIH HHS R01 AI069568NIAID NIH HHS R01 AI69568-01A2
6 · The paper itself

Abstract

As a major concern in public health, methicillin-resistant staphylococci (MRS) still remains one of the most prevalent pathogens that cause nosocomial infections throughout the world and has been recently labeled as a "super bug" in antibiotic resistance. Thus, surveillance and investigation on antibiotic resistance mechanisms involved in clinical MRS strains may raise urgent necessity and utmost significance. As a novel antibiotic resistance mechanism, class 1 integron has been identified as a primary source of antimicrobial resistance genes in Gram-negative organisms. However, most available studies on integrons had been limited within Gram-negative microbes, little is known for clinical Gram-positive bacteria. Based on series studies of systematic integrons investigation in hundreds of staphylococci strains during 2001-2006, this review concentrated on the latest development of class 1 integron in MRS isolates, including summary of prevalence and occurrence of class 1 integron, analysis of correlation between integron and antibiotic resistance, further demonstration of the role integrons play as antibiotic determinants, as well as origin and evolution of integron-associated gene cassettes during this study period.

Indexed as

Evolution, MolecularHumansIntegronsMethicillin ResistanceStaphylococcal InfectionsStaphylococcus

Identifiers

PMID21258866
PMCPMC3136644
OpenAlexW2032879359

What OpenQuestion holds

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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.