Evidence map›Paper›PMID 41586184›Full record

ArticleJAC-antimicrobial resistance2026

Risk factors for carbapenem-resistant

Francesco Cogliati Dezza, Belén Gutiérrez-Gutiérrez, Giusy Tiseo, Sara Covino, Flavia Petrucci, Jose Bravo-Ferrer, Valentina Galfo, Aurelio Lepore, Federica Sacco, Agnese Viscido and 7 more

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Francesco Cogliati DezzaDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0002-5657-7373
Belén Gutiérrez-GutiérrezUnidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario Virgen Macarena and Departamento de Medicina, Universidad de Sevilla, Instituto de Biomedicina de Sevilla/CSIC, Seville, Spain.ORCID https://orcid.org/0000-0002-9668-0770
Giusy TiseoInfectious Diseases Unit, Department of Clinical and Experimental Medicine, Azienda Ospedaliera Universitaria Pisana, University of Pisa, Pisa, Italy.ORCID https://orcid.org/0000-0002-3884-4933
Sara CovinoDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Flavia PetrucciDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Jose Bravo-FerrerUnidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario Virgen Macarena and Departamento de Medicina, Universidad de Sevilla, Instituto de Biomedicina de Sevilla/CSIC, Seville, Spain.
Valentina GalfoInfectious Diseases Unit, Department of Clinical and Experimental Medicine, Azienda Ospedaliera Universitaria Pisana, University of Pisa, Pisa, Italy.
Aurelio LeporeInfectious Diseases Unit, Department of Clinical and Experimental Medicine, Azienda Ospedaliera Universitaria Pisana, University of Pisa, Pisa, Italy.
Federica SaccoMicrobiology and Virology Laboratory, Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
Agnese ViscidoMicrobiology and Virology Laboratory, Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
Giancarlo CeccarelliDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0001-5921-3180
Francesco AlessandriDepartment of General and Specialistic Surgery, Sapienza University of Rome, Rome, Italy.
Claudio Maria MastroianniDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Mario VendittiDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Marco FalconeInfectious Diseases Unit, Department of Clinical and Experimental Medicine, Azienda Ospedaliera Universitaria Pisana, University of Pisa, Pisa, Italy.ORCID https://orcid.org/0000-0003-3813-8796
Jesús Rodríguez-BañoUnidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario Virgen Macarena and Departamento de Medicina, Universidad de Sevilla, Instituto de Biomedicina de Sevilla/CSIC, Seville, Spain.ORCID https://orcid.org/0000-0001-6732-9001
Alessandra OlivaDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0003-0832-7975

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Among MDR bacteria, carbapenem-resistant Objectives: To identify predictors to aid in the clinical management of critically ill patients. Methods: We conducted a multicentre prospective study in Italy, enrolling patients with CRAB colonization who were admitted to ICUs between 2020 and 2023. Multivariable logistic regression analysis was performed to identify potential risk factors for CRAB infection. To account for competing risks, we used the cumulative incidence function (CIF) and Fine-Gray regression analysis, providing an accurate assessment of the risk of CRAB infection. Additionally, a logistic regression model was performed to estimate the impact of different types of critically ill patients on the risk of infection. Results: We included 564 colonized patients, and 381 (67.5%) developed a CRAB infection in the ICU. In the logistic regression model, multisite colonization (OR 2.78; 95% CI: 1.90-4.08; Conclusions: Early colonization from ICU admission, multisite colonization, CCI, mechanical ventilation and male gender are key risk factors for CRAB infection. These factors support clinicians in the management of critically ill patients with prior CRAB colonization.

Identifiers

PMID41586184
PMCPMC12828430

What OpenQuestion holds

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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.