Evidence map›Paper›PMID 42329244›Full record

ArticleMicrobial genomics2026

A more complete picture: capturing single nucleotide variant diversity in extended-spectrum beta-lactamase producing

Sarah Gallichan, Tommi Mäklin, Esther Picton-Barlow, Claudia McKeown, Sally Forrest, Jukka Corander, Maria Moore, Nicholas A Feasey, Eva Heinz, Fabrice E Graf and 1 more

Abstract read
In one paragraph

Article in Microbial genomics, 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

11 authors.

Sarah GallichanThe School of Medicine, University of St Andrews, St Andrews, UK.
Tommi MäklinDepartment of Biostatistics, University of Oslo, Oslo, Norway.
Esther Picton-BarlowDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Claudia McKeownDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Sally ForrestThe School of Medicine, University of St Andrews, St Andrews, UK.
Jukka CoranderDepartment of Biostatistics, University of Oslo, Oslo, Norway.
Maria MooreDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Nicholas A FeaseyThe School of Medicine, University of St Andrews, St Andrews, UK.
Eva HeinzDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Fabrice E GrafDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Joseph M LewisDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inferring transmission relies on accurately distinguishing between isolates from the same source and those from different sources, and high-quality genomic data are frequently used to model transmission scenarios. The post-enrichment metagenome sequencing (pe-MGS) method uses a sequencing approach to analyse the diversity of a target pathogen enriched by pre-culturing and has been effectively used to analyse the transmission of nosocomial infections. However, a direct comparison of single nucleotide variant (SNV) call accuracy, cost and feasibility between single-colony whole-genome sequence (sc-WGS) data and pe-MGS for an antimicrobial resistant bacteria of clinical importance, extended-spectrum beta-lactamase producing

Indexed as

beta-LactamasesEscherichia coliMetagenomicsPolymorphism, Single NucleotideEscherichia coli InfectionsFecesGenome, BacterialHumansMetagenomeWhole Genome Sequencingbeta-Lactamasesantimicrobial resistancebioinformatic methodsmolecular epidemiologytransmission surveillance

Identifiers

PMID42329244
PMCPMC13286150

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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.