Evidence map›Paper›PMID 37184673›Full record

ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2023

[Therapy-relevant antibiotic resistances in a One Health context].

Guido Werner, Muna Abu Sin, Christina Bahrs, Sandra Brogden, Andrea T Feßler, Stefan Hagel, Heike Kaspar, Robin Köck, Lothar Kreienbrock, Henrike Krüger-Haker and 7 more

Abstract readEnglish AbstractReview
In one paragraph

Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

17 authors.

Guido WernerRobert Koch Institut, Berlin, Deutschland. wernerg@rki.de.
Muna Abu SinRobert Koch Institut, Berlin, Deutschland.
Christina BahrsInstitut für Infektionsmedizin und Krankenhaushygiene, Universitätsklinikum Jena, Jena, Deutschland.
Sandra BrogdenInstitut für Biometrie, Epidemiologie und Informationsverarbeitung, Stiftung Tierärztliche Hochschule Hannover, Hannover, Deutschland.
Andrea T FeßlerInstitut für Mikrobiologie und Tierseuchen, Fachbereich Veterinärmedizin, Freie Universität Berlin, Berlin, Deutschland.
Stefan HagelInstitut für Infektionsmedizin und Krankenhaushygiene, Universitätsklinikum Jena, Jena, Deutschland.
Heike KasparBundesamt für Verbraucherschutz und Lebensmittelsicherheit, Berlin, Deutschland.
Robin KöckBereich Hygiene und Umweltmedizin, Universitätsmedizin Essen, Essen, Deutschland.
Lothar KreienbrockInstitut für Biometrie, Epidemiologie und Informationsverarbeitung, Stiftung Tierärztliche Hochschule Hannover, Hannover, Deutschland.
Henrike Krüger-HakerInstitut für Mikrobiologie und Tierseuchen, Fachbereich Veterinärmedizin, Freie Universität Berlin, Berlin, Deutschland.
Frederike MaechlerInstitut für Hygiene und Umweltmedizin, Charité - Universitätsmedizin Berlin, Berlin, Deutschland.
Ines NollRobert Koch Institut, Berlin, Deutschland.
Mathias W PletzInstitut für Infektionsmedizin und Krankenhaushygiene, Universitätsklinikum Jena, Jena, Deutschland.
Bernd-Alois TenhagenFachbereich Epidemiologie, Zoonosen und Antibiotikaresistenz, Abteilung Biologische Sicherheit, Bundesinstitut für Risikobewertung BfR, Berlin, Deutschland.
Stefan SchwarzInstitut für Mikrobiologie und Tierseuchen, Fachbereich Veterinärmedizin, Freie Universität Berlin, Berlin, Deutschland.
Birgit WaltherRobert Koch Institut, Berlin, Deutschland.
Martin MielkeRobert Koch Institut, Berlin, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One Health refers to a concept that links human, animal, and environmental health. In Germany, there is extensive data on antibiotic resistance (AMR) and multidrug-resistant (micro)organisms (MDRO) in human and veterinary medicine, as well as from studies in various environmental compartments (soil, water, wastewater). All these activities are conducted according to different specifications and standards, which makes it difficult to compare data. A focus on AMR and MDRO of human therapeutic importance is helpful to provide some guidance. Most data are available across sectors on methicillin-resistant Staphylococcus aureus (MRSA) and multiresistant Enterobacterales such as Escherichia coli and Klebsiella pneumoniae. Here, the trends of resistance are heterogeneous. Antibiotic use leads to MRE selection, which is well documented. Success in minimizing antibiotic use has also been demonstrated in recent years in several sectors and could be correlated with success in containing AMR and MDRO (e.g., decrease in MRSA in human medicine). Sector-specific measures to reduce the burden of MDRO and AMR are also necessary, as not all resistance problems are linked to other sectors. Carbapenem resistance is still rare, but most apparent in human pathogens. Colistin resistance occurs in different sectors but shows different mechanisms in each. Resistance to antibiotics of last resort such as linezolid is rare in Germany, but shows a specific One Health correlation. Efforts to harmonize methods, for example in the field of antimicrobial susceptibility testing and genome-based pathogen and AMR surveillance, are an important first step towards a better comparability of the different data collections.

Indexed as

Methicillin-Resistant Staphylococcus aureusOne HealthAnimalsAnti-Bacterial AgentsDrug Resistance, Multiple, BacterialEscherichia coliGermanyHumansKlebsiella pneumoniaeAnti-Bacterial AgentsColistinESBLHealthcare-associated infectionsHospitalLivestockMRSAMultidrug-resistant organisms (MDRO)

Identifiers

PMID37184673
PMCPMC10261244

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.