Evidence map›Paper›PMID 37737286›Full record

ReviewScientific reports2023

Modelling antimicrobial resistance transmission to guide personalized antimicrobial stewardship interventions and infection control policies in healthcare setting: a pilot study.

Francesco Durazzi, Maria Diletta Pezzani, Fabiana Arieti, Omar Simonetti, Lorenzo Maria Canziani, Elena Carrara, Lorenzo Barbato, Francesco Onorati, Daniel Remondini, Evelina Tacconelli

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 8% of its field
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

9 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Francesco Durazzi *Department of Physics and Astronomy, University of Bologna, Bologna, Italy.
Maria Diletta Pezzani *Division of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Fabiana ArietiDivision of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Omar SimonettiInfectious Diseases Unit, University Hospital, Trieste, Italy.
Lorenzo Maria CanzianiDivision of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Elena CarraraDivision of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Lorenzo BarbatoDepartment of Pharmacy, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Francesco OnoratiDepartment of Cardiac Surgery, Verona University Hospital, Verona, Italy.
Daniel RemondiniDepartment of Physics and Astronomy, University of Bologna, Bologna, Italy. daniel.remondini@unibo.it.
Evelina TacconelliDivision of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
University of Verona · ITUniversity of Bologna · ITAzienda Ospedaliera Universitaria Integrata Verona · ITUniversity of Trieste · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infection control programs and antimicrobial stewardship have been proven effective in reducing the burden of diseases due to multidrug-resistant organisms, but quantifying the effect of each intervention is an open issue. For this aim, we propose a model to characterize the effect of interventions at single ward level. We adapted the Ross-Macdonald model to describe hospital cross-transmission dynamics of carbapenem resistant Klebsiella pneumoniae (CRKP), considering healthcare workers as the vectors transmitting susceptible and resistant pathogens among admitted patients. The model parameters were estimated from a literature review, further adjusted to reproduce observed clinical outcomes, and validated using real life data from a 2-year study in a university hospital. The model has been further explored through extensive sensitivity analysis, in order to assess the relevance of single interventions as well as their synergistic effects. Our model has been shown to be an effective tool to describe and predict the impact of interventions in reducing the prevalence of CRKP colonisation and infection, and can be extended to other specific hospital and pathological scenarios to produce tailored estimates of the most effective strategies.

Indexed as

Antimicrobial StewardshipCarbapenem-Resistant EnterobacteriaceaeAnti-Bacterial AgentsDrug Resistance, BacterialHospitals, UniversityHumansInfection ControlKlebsiella pneumoniaePilot ProjectsPolicyAnti-Bacterial Agents

Identifiers

PMID37737286
PMCPMC10516989
OpenAlexW4386944207

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.