Evidence map›Paper›PMID 41857019›Full record

ArticleNature communications2026

Genomic inference of sites of transmission during regional spread of bla

Tiffany Wan, Sara McNamara, Brenda Brennan, Ali Pirani, Arianna Miles-Jay, Heather Blankenship, Evan S Snitkin

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Tiffany WanDepartment of Microbiology & Immunology, University of Michigan Medical School, Ann Arbor, MI, USA.
Sara McNamaraMichigan Department of Health and Human Services Bureau of Infectious Disease Prevention, Lansing, MI, USA.
Brenda BrennanMichigan Department of Health and Human Services Bureau of Infectious Disease Prevention, Lansing, MI, USA.
Ali PiraniDepartment of Microbiology & Immunology, University of Michigan Medical School, Ann Arbor, MI, USA.
Arianna Miles-JayMichigan Department of Health and Human Services Bureau of Laboratories, Lansing, MI, USA.
Heather BlankenshipMichigan Department of Health and Human Services Bureau of Laboratories, Lansing, MI, USA.
Evan S SnitkinDepartment of Microbiology & Immunology, University of Michigan Medical School, Ann Arbor, MI, USA. esnitkin@umich.edu.ORCID http://orcid.org/0000-0001-8409-278X

Funding

U.S. Department of Health & Human Services | Centers for Disease Control and Prevention (CDC) 6NU50CK000510-02-07
6 · The paper itself

Abstract

The frequent movement of colonized and infected patients between healthcare facilities makes it challenging to discern where individual patients acquire healthcare-associated pathogens, and in turn, identify facilities making the greatest contributions to regional spread. Here, we implement an approach using genomic and healthcare exposure histories from passively collected regional isolates to identify the putative facility source for each new isolate by analyzing shared healthcare exposures with earlier case patients whose isolates were phylogenetically closest. As a proof of principle, we apply this approach to data collected by a state health department during a suspected regional outbreak of carbapenem-resistant Klebsiella pneumoniae involving 72 patients exposed to 47 healthcare facilities in Michigan from October 2019 to May 2022. Examination of transmission linkages supported a sustained role played by a single focal facility, with other facilities inferred as sources of smaller numbers of cases. Importantly, in several instances, facilities were implicated as sites of transmission prior to cases being detected there, based on overlapping exposures among genomically linked cases. The ability to infer facility sources of transmission using passively collected regional isolates supports the potential for real-time genome-informed surveillance to enable timely targeting of interventions to interrupt regional spread of healthcare-associated pathogens.

Indexed as

beta-LactamasesCross InfectionKlebsiella InfectionsKlebsiella pneumoniaeAnti-Bacterial AgentsCarbapenemsDisease OutbreaksGenome, BacterialGenomicsHealth FacilitiesHumansMichiganPhylogenyAnti-Bacterial Agentsbeta-LactamasesCarbapenems

Identifiers

PMID41857019
PMCPMC13153250

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.