Evidence map›Paper›PMID 23861600›Full record

ArticleClinical epidemiology2013

Improved understanding of factors driving methicillin-resistant Staphylococcus aureus epidemic waves.

Som S Chatterjee, Michael Otto

Open access · goldAbstract read
In one paragraph

Article in Clinical epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

59 citing papers in PubMed, 111 citations in OpenAlex.

  1. Trial
  2. Article
  3. Halogenated 3-Nitro-2Antibiotics (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Molecular characterization of antimicrobial resistance genes ofVeterinary research forum : an international quarterly journal · 2024
    Article
  8. Article
  9. Molecular Epidemiology ofInfection and drug resistance · 2023
    Article
  10. Article
  11. Article
  12. Eleven-Year surveillance of methicillin-resistantJournal of preventive medicine and hygiene · 2022
    Article
  13. Article
  14. Article
  15. Molecular Characterization ofPathogens (Basel, Switzerland) · 2021
    Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Review
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

2 authors at 2 institutions in 1 country.

Som S ChatterjeePathogen Molecular Genetics Section, National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA.
Michael Otto
National Institute of Allergy and Infectious Diseases · USNational Institutes of Health · US

Funding

Staphylococcal pathogenesisZIAAI000904 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI OTTO, MICHAEL · 2009 to 2025
$22.6M
6 · The paper itself

Abstract

Methicillin-resistant Staphylococcus aureus (MRSA) remains one of the most important causes of nosocomial infections worldwide. Since the global spread of MRSA in the 1960s, MRSA strains have evolved with increased pathogenic potential. Notably, some strains are now capable of causing persistent infections not only in hospitalized patients but also in healthy individuals in the community. Furthermore, MRSA is increasingly associated with infections among livestock-associated workers, primarily because of transmission from animals to humans. Moreover, many MRSA strains have gained resistance to most available antibiotics. In this review, we will present current knowledge on MRSA epidemiology and discuss new endeavors being undertaken to understand better the molecular and epidemiological underpinnings of MRSA outbreaks.

Indexed as

community-associated infectionMRSAnosocomial infectionStaphylococcus aureus

Identifiers

PMID23861600
PMCPMC3707418
OpenAlexW2074780540

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.