Evidence map›Paper›PMID 23468619›Full record

ArticlePLoS pathogens2013

Hospital-community interactions foster coexistence between methicillin-resistant strains of Staphylococcus aureus.

Roger Kouyos, Eili Klein, Bryan Grenfell

Abstract read
In one paragraph

Article in PLoS pathogens, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Methicillin-ResistantPathogens (Basel, Switzerland) · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Feline Otitis Externa Caused by Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2021
    Article
  11. Article
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  14. Article
  15. CA-MRSA and HA-MRSA coexist in community and hospital settings in Uganda.Antimicrobial resistance and infection control · 2019
    Article
  16. Article
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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

3 authors.

Roger KouyosDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America. roger.kouyos@uzh.ch
Eili Klein
Bryan Grenfell

Funding

Computational Models of Infectious Disease ThreatsU01GM070708 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BURKE, DONALD SCOTT · 2004 to 2008
$3.8M
Scientific and Technical Computing CoreP2CHD047879 · NICHD · PRINCETON UNIVERSITY · PI MASSEY, DOUGLAS S · 2014 to 2018
$2.0M
NIGMS NIH HHS U01 GM070708NIGMS NIH HHS U01GM070708
6 · The paper itself

Abstract

Methicillin-resistant Staphylococcus aureus (MRSA) is an important cause of morbidity and mortality in both hospitals and the community. Traditionally, MRSA was mainly hospital-associated (HA-MRSA), but in the past decade community-associated strains (CA-MRSA) have spread widely. CA-MRSA strains seem to have significantly lower biological costs of resistance, and hence it has been speculated that they may replace HA-MRSA strains in the hospital. Such a replacement could potentially have major consequences for public health, as there are differences in the resistance spectra of the two strains as well as possible differences in their clinical effects. Here we assess the impact of competition between HA- and CA-MRSA using epidemiological models which integrate realistic data on drug-usage frequencies, resistance profiles, contact, and age structures. By explicitly accounting for the differing antibiotic usage frequencies in the hospital and the community, we find that coexistence between the strains is a possible outcome, as selection favors CA-MRSA in the community, because of its lower cost of resistance, while it favors HA-MRSA in the hospital, because of its broader resistance spectrum. Incorporating realistic degrees of age- and treatment-structure into the model significantly increases the parameter ranges over which coexistence is possible. Thus, our results indicate that the large heterogeneities existing in human populations make coexistence between hospital- and community-associated strains of MRSA a likely outcome.

Indexed as

HospitalizationAnti-Bacterial AgentsCommunity-Acquired InfectionsCross InfectionDisease OutbreaksHumansMethicillin-Resistant Staphylococcus aureusMicrobial InteractionsMicrobial Sensitivity TestsModels, BiologicalSelection, GeneticSpecies SpecificityStaphylococcal InfectionsUnited StatesAnti-Bacterial Agents

Identifiers

PMID23468619
PMCPMC3585153

What OpenQuestion holds

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LicenceCC BY
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.