Evidence map›Paper›PMID 40376189›Full record

ArticleOpen forum infectious diseases2025

Dynamic Networks of Methicillin-Resistant

Scott A Cohen, Massimiliano S Tagliamonte, Carla Mavian, Nicole M Iovine, Yuting Zhai, Kwangcheol C Jeong, Mattia Prosperi, J Adrian Tyndall, Marco Salemi, J Glenn Morris

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Open forum infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Scott A CohenEmerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0002-8758-180X
Massimiliano S TagliamonteEmerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0003-2699-7331
Carla MavianEmerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.
Nicole M IovineDivision of Infectious Diseases, Department of Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA.
Yuting ZhaiEmerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.
Kwangcheol C JeongEmerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.
Mattia ProsperiEmerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0002-9021-5595
J Adrian TyndallMorehouse School of Medicine, Atlanta, Georgia, USA.
Marco SalemiEmerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0003-0136-2102
J Glenn MorrisEmerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0001-9347-1984

Funding

Developing Computational Methods for Surveillance of Antimicrobial Resistant AgentsR01AI141810 · NIAID · UNIVERSITY OF FLORIDA · PI BOUCHER, CHRISTINA, PROSPERI, MATTIA · 2019 to 2023
$2.1M
Utilizing phylodynamic and causal artificial intelligence methods for predicting and characterizing antibiotic resistant bacterial transmission within and beyond hospital settingsF30AI183562 · NIAID · UNIVERSITY OF FLORIDA · PI Scott A Cohen · 2025 to 2026
$102k
NIAID NIH HHS F30 AI183562NIAID NIH HHS R01 AI141810
6 · The paper itself

Abstract

Background: Although methicillin-resistant Methods: Serial cross-sectional sampling of MRSA isolates occurred at a tertiary care hospital between 2010 and 2019. Community-onset MRSA was prospectively isolated from patients presenting to the emergency department with acute skin and soft tissue infections (SSTIs), while hospital-onset MRSA was sampled before (2010), during (2015-2017), and after (2019) this community collection period. MRSA transmission was assessed using a joint application of epidemiological approaches and phylodynamic analysis of whole-genome sequences. Results: After whole-genome sequencing on community and hospital MRSA isolates, phylogenetic analysis revealed 2 major clades distinguished by clonal complex (CC) CC8/t008 and CC5/t002 Conclusions: MRSA transmission in hospital settings was introduced from strains with ancestral origins in community settings. Although community-onset MRSA transmission appears sustained with limited influence from hospital strains, more comprehensive surveillance is required to quantify this relationship. Nosocomial MRSA outbreak prevention strategies should target unique aspects of the community in addition to the hospital, particularly hot spots, risk behaviors, and strain reservoirs.

Indexed as

hospital-acquired infectionmethicillin-resistant Staphylococcus aureusphylogeneticsruralwhole-genome sequencing

Identifiers

PMID40376189
PMCPMC12079653

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.