ArticleInfection and drug resistance2019
Distinct Antimicrobial Resistance Profiling Of Clinically Important
Article in Infection and drug resistance, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
The trial behind it
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Who cites it
7 citing papers in PubMed.
- Virulence Genes and Antimicrobial Resistance Profiles inMicroorganisms · 2025Article
- Epidemiological characteristics, virulence potential, antimicrobial resistance profiles, and phylogenetic analysis ofFrontiers in cellular and infection microbiology · 2023Article
- Essential Oils FromFrontiers in microbiology · 2022Article
- Molecular and Functional Characterization of a Novel Plasmid-BorneInfection and drug resistance · 2021Article
- A Novel Transposon, TnInfection and drug resistance · 2020Article
- Co-Occurrence of theInfection and drug resistance · 2020Article
- Pathogenic Characteristics of and Variation inInfection and drug resistance · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCo-evolution of host and aeromonads has diversified their spectrums of diseases and antibiograms, while a paucity of data was concerning about this diversity in China. To fill this gap, this study was aimed to investigate and compare antimicrobial resistance (AMR) patterns of clinically important
methodsA multicenter retrospective surveillance study was conducted in Chongqing from 2011 to 2017. Data of strains were retrieved from the database of China Antimicrobial Resistance Surveillance System (CARSS). Whonet 5.6 and Graphpad Prism 6 Software were adopted to determine and compare distribution and AMR patterns.
resultsAmong 1135
conclusionsDistinct AMR patterns between species and sources highlighted the predominance of
Indexed as
Identifiers
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Registered trials
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.