Evidence map›Paper›PMID 42533230›Full record

ReviewInfection2026

Limited, outbreak-biased and unevenly reported: genomic insights into vancomycin-resistant Enterococcus faecium in Germany as reported between 2015 and 2025.

Anca Rath, Wulf Schneider-Brachert

Abstract readReview
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In one paragraph

Review in Infection, 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

2 authors.

Anca RathDepartment of Infection Prevention and Infectious Diseases, University Medical Centre Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany. anca.rath@ukr.de.ORCID https://orcid.org/0009-0003-1992-1897
Wulf Schneider-BrachertDepartment of Infection Prevention and Infectious Diseases, University Medical Centre Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWhole-genome sequencing (WGS) has improved our understanding on epidemiology and transmission of vancomycin-resistant Enterococcus faecium (VRE). However, regional differences in strain distribution patterns remain poorly reported. In this narrative review, we summarize current evidence in Germany.

methodsA systematic PubMed search was conducted for studies describing WGS-based typing of VRE in Germany published between 2015 and 2025 (n = 39). A relevant national surveillance report was included additionally.

resultsData availability varies regionally, with highest reporting rates in north-western and south-eastern Germany. The German VRE population is predominantly composed of six major lineages: vanB-positive sequence types (ST) 80, 117, 192, and 203, and vanA-positive ST78 and ST1299. While ST192, ST203, and ST78 declined over time, ST80 and ST117 and their sub-lineages are nationally endemic. Core genome analyses demonstrate stable distribution of regionally specific complex types (CT) including ST80/CT1065/vanB and ST1299/CT1903/vanA in southern Germany, and ST117/CT71/vanB and ST80/CT1470/vanA in the north-west. Notably, ST80 exhibits greater CT diversity than ST117, reflecting its wider evolutionary plasticity.

conclusionAlthough unevenly reported, persistent regional differences in dominant lineages are evident, underscoring the necessity and value of high-resolution genomic surveillance beyond national-level reporting. Ultimately, this strategy could improve transmissions and outbreak analysis, and facilitate identification of lineage-specific virulence determinants.

Indexed as

GermanyMolecular epidemiologyNarrative reviewNational overviewST117ST1299ST80VREWGS

Identifiers

PMID42533230

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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.