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Cited by 325

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Multi-drug-resistant Gram-negative bacteria causing urinary tract infections: a review

Open access
Mazzariol, Annarita, Bazaj, Alda, Cornaglia, Giuseppe·2017·Journal of Chemotherapy

Abstract

Urinary tract infections (UTIs) are among the most frequent infectious diseases affecting humans, and represent an important public health problem with a substantial economic burden. Due to the high empiric use of antibiotics for the treatment of UTI, antibacterial resistance of Enterobacteriaceae, specifically the main uropathogens Escherichia coli and Klebsiella pneumoniae, has significantly increased worldwide. In this article the worldwide epidemiology of resistant Gram-negative bacteria causing UTIs, with a special focus on extended spectrum beta lactamase (ESBL) positive pathogens, as well as new threats such as multi-drug-resistant (MDR) clones (e.g. E. coli 131 (ST131) and K. pneumoniae ST258), are reviewed. The increased prevalence of MDR Enterobacteriaceae, limiting available treatment options for infections caused by these organisms, and the lack of new antibiotics provide good rationale for using older antibiotics, such as fosfomycin, that have been shown to retain some activity against MDR bacteria.

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Metadata

Authors
Mazzariol, A., Bazaj, A., & Cornaglia, G.
Venue
Journal of Chemotherapy
Published
2017-12-22
Volume
29
Issue
sup1
Pages
2-9
ISSN
  • 1120-009X (ISSN-L)
  • 1973-9478
OpenAlex
W2778650888
Cited by
325
References
39
FWCI
6.01
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Multi-drug-resistant Gram-negative bacteria causing urinary tract infections: a review. https://app.cochat.ai/papers/10.1080/1120009x.2017.1380395
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Mazzariol, A., Bazaj, A., & Cornaglia, G. (2017). Multi-drug-resistant Gram-negative bacteria causing urinary tract infections: a review. Journal of Chemotherapy. https://doi.org/10.1080/1120009x.2017.1380395

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.