Evidence map›Paper›PMID 41524388›Full record

ArticleMicrobiology spectrum2026

Regression-based modeling of pairwise genomic linkage data identifies risk factors for healthcare-associated pathogen transmission: application to carbapenem-resistant

Hannah Steinberg, Timileyin Adediran, Mary K Hayden, Evan Snitkin, Jon Zelner

Abstract read
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In one paragraph

Article in Microbiology spectrum, 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

5 · Who and what money

Authors and funding

5 authors.

Hannah SteinbergDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.ORCID 0000-0003-3909-4158
Timileyin AdediranDepartment of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA.
Mary K HaydenDivision of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA.
Evan Snitkin *Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-8409-278X
Jon Zelner *Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.

Funding

Regional genomic epidemiology to identify drivers of resistance, transmission and infection with carbapenem-resistant Klebsiella pneumoniaeR01AI148259 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SNITKIN, EVAN · 2020 to 2023
$2.2M
NIAID NIH HHS R01 AI148259NIH HHS R01 AI148259
6 · The paper itself

Abstract

Pathogen whole-genome sequencing (WGS) has significant potential for improving healthcare-associated infection (HAI) outcomes. However, methods for integrating WGS with epidemiologic data to quantify risks for pathogen spread remain underdeveloped. To identify analytic strategies for conducting WGS-based HAI surveillance in high-burden settings, we modeled patient- and facility-level transmission risks of carbapenem-resistant

Indexed as

Carbapenem-Resistant EnterobacteriaceaeCarbapenemsCross InfectionKlebsiella InfectionsKlebsiella pneumoniaeAnti-Bacterial AgentsGenome, BacterialHumansLong-Term CareRegression AnalysisRisk FactorsWhole Genome SequencingAnti-Bacterial AgentsCarbapenemscarbapenem-resistant Kleabsiella pneumoniaeepidemiologyhealthcare-associated infectionsmicrobial genomicsregression modelstransmission risk factors

Identifiers

PMID41524388
PMCPMC12889109

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Registered trials

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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.