Evidence map›Paper›PMID 28224769›Full record

ArticleAnnals of laboratory medicine2017

Increasing Resistance to Extended-Spectrum Cephalosporins, Fluoroquinolone, and Carbapenem in Gram-Negative Bacilli and the Emergence of Carbapenem Non-Susceptibility in Klebsiella pneumoniae: Analysis of Korean Antimicrobial Resistance Monitoring System (KARMS) Data From 2013 to 2015.

Dokyun Kim, Ji Young Ahn, Chae Hoon Lee, Sook Jin Jang, Hyukmin Lee, Dongeun Yong, Seok Hoon Jeong, Kyungwon Lee

Open access · diamondAbstract read
In one paragraph

Article in Annals of laboratory medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

53 citing papers in PubMed, 101 citations in OpenAlex.

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  10. The Forever War Against Evil Germs.Journal of Korean medical science · 2023
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  12. Dynamic evolution of ceftazidime-avibactam resistance due to interchanges betweenFrontiers in cellular and infection microbiology · 2023
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  16. The Changes in Epidemiology of Imipenem-ResistantJournal of Korean medical science · 2022
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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

8 authors at 4 institutions in 1 country.

Dokyun KimDepartment of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, Korea.
Ji Young AhnDepartment of Laboratory Medicine, Soonchunhyang University College of Medicine, Cheonan, Korea.
Chae Hoon LeeDepartment of Laboratory Medicine, College of Medicine, Yeungnam University College of Medicine, Daegu, Korea.
Sook Jin JangDepartment of Laboratory Medicine, Chosun University College of Medicine, Gwangju, Korea.
Hyukmin LeeDepartment of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, Korea. hmlee.labmed@gmail.com.
Dongeun YongDepartment of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, Korea.
Seok Hoon JeongDepartment of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, Korea.
Kyungwon LeeDepartment of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, Korea.
Yonsei University · KRChosun University · KRSoonchunhyang University · KRYeungnam University College

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNational surveillance of antimicrobial resistance becomes more important for the control of antimicrobial resistance and determination of treatment guidelines. We analyzed Korean Antimicrobial Resistance Monitoring System (KARMS) data collected from 2013 to 2015.

methodsOf the KARMS participants, 16 secondary or tertiary hospitals consecutively reported antimicrobial resistance rates from 2013 to 2015. Data from duplicate isolates and institutions with fewer than 20 isolates were excluded. To determine the long-term trends, previous KARMS data from 2004 to 2012 were also considered.

resultsThe prevalence of methicillin-resistant Staphylococcus aureus and vancomycin-resistant Enterococcus faecium from 2013 to 2015 was 66-72% and 29-31%, respectively. The resistance rates of Escherichia coli to cefotaxime and cefepime gradually increased to 35% and 31%, respectively, and fluoroquinolone resistance reached 48% in 2015. The resistance rates of Klebsiella pneumoniae to cefotaxime, cefepime, and carbapenem were 38-41%, 33-41%, and <0.1-2%, respectively, from 2013 to 2015. The carbapenem susceptibility rates of E. coli and K. pneumoniae decreased from 100% and 99.3% in 2011 to 99.0% and 97.0% in 2015, respectively. The resistance rate of Pseudomonas aeruginosa to carbapenem increased to 35% and the prevalence of carbapenem-resistant Acinetobacter baumannii increased from 77% in 2013 to 85% in 2015.

conclusionsBetween 2013 and 2015, the resistance rates of E. coli to third- and fourth-generation cephalosporins increased continuously, while carbapenem-susceptibility gradually decreased, particularly in K. pneumoniae. The prevalence of carbapenem-resistant P. aeruginosa and A. baumannii increased significantly; therefore, few treatment options remain for these resistant strains.

Indexed as

Drug Resistance, BacterialAnti-Bacterial AgentsAsian PeopleCarbapenemsCephalosporinsDatabases, FactualFluoroquinolonesGram-Negative BacteriaGram-Positive BacteriaHumansKlebsiella pneumoniaeMicrobial Sensitivity TestsRepublic of KoreaSecondary Care CentersTertiary Care CentersAnti-Bacterial AgentsCarbapenemsCephalosporinsFluoroquinolonesAcinetobacter baumanniiAntimicrobial drug resistanceKARMSSurveillance

Identifiers

PMID28224769
PMCPMC5339095
OpenAlexW2590925544

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.