Evidence map›Paper›PMID 40416931›Full record

ArticleJAC-antimicrobial resistance2025

Associations between antibiotic consumption intensity and extended-spectrum cephalosporin resistance in nursing homes: a retrospective ecological study.

Emmanouil Glampedakis, Anne Niquille, Patricia Cuiña Iglesias, Alessandro Cassini, Catherine Plüss-Suard, Andreas Kronenberg, Marie Immaculée Nahimana Tessemo, Tom R Brewer, Thomas Rawson

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

9 authors.

Emmanouil GlampedakisSchool of Public Health, Faculty of Medicine, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-1920-2265
Anne NiquilleDepartment of Ambulatory Care, Unisanté, Center for Primary Care and Public Health and University of Lausanne, Lausanne, Switzerland.
Patricia Cuiña IglesiasPublic Health Department, Cantonal Infection Prevention and Control Unit, Cantonal Doctor Office, Canton of Vaud, Lausanne, Switzerland.
Alessandro CassiniPublic Health Department, Cantonal Doctor Office, Canton of Vaud, Lausanne, Switzerland.
Catherine Plüss-SuardSwiss Centre for Antibiotic Resistance (ANRESIS), Institute for Infectious Diseases, University of Bern, Bern, Switzerland.
Andreas KronenbergSwiss Centre for Antibiotic Resistance (ANRESIS), Institute for Infectious Diseases, University of Bern, Bern, Switzerland.
Marie Immaculée Nahimana TessemoPublic Health Department, Cantonal Infection Prevention and Control Unit, Cantonal Doctor Office, Canton of Vaud, Lausanne, Switzerland.
Tom R BrewerSchool of Public Health, Faculty of Medicine, Imperial College London, London, UK.
Thomas RawsonMRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Studies relating the usage of antibiotics with extended-spectrum cephalosporin resistance (ESC-R) rates from clinical isolates in nursing homes (NHs) are rare. We investigated associations between the intensity of NH-level antibiotic consumption (ABC) and the frequency of ESC-R expressing urinary Materials and methods: We used retrospective data on ABC and ESC-R counts aggregated by NH and year between 2017 and 2022 from NHs of canton Vaud in Switzerland. Negative binomial regression was used to relate ABC intensity, expressed as DDDs per 1000 resident days, with counts of ESC-R expressing bacteria. Results: Fifty-four NHs were included cumulatively accounting for 6601 urinary isolates, of which 5028 Conclusion: No association was found between overall ABC and ESC-R rates. Cephalosporin consumption showed a modest association, while for carbapenems this could reflect therapeutic use. These findings highlight the need for enhanced surveillance and resident-level data to better understand antibiotic resistance drivers in this setting.

Identifiers

PMID40416931
PMCPMC12099033

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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.