Evidence map›Paper›PMID 30783127›Full record

ArticleScientific reports2019

Assessing Molecular Epidemiology of Carbapenem-resistant Klebsiella pneumoniae (CR-KP) with MLST and MALDI-TOF in Central China.

Xiujuan Meng, Jun Yang, Juping Duan, Sidi Liu, Xun Huang, Ximao Wen, Xin Huang, Chenchao Fu, Jie Li, Qingya Dou and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Klebsiella pneumoniae: an increasing threat to public health.Annals of clinical microbiology and antimicrobials · 2020
    Pooled it
  2. Characterization ofMicrobiology spectrum · 2026
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  18. Differentiation ofMicroorganisms · 2022
    Article
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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

19 authors.

Xiujuan MengInfection Control Center, Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Jun YangBioyong Technologies Inc, Beijing, China.
Juping DuanInfection Control Center, Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Sidi LiuInfection Control Center, Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Xun HuangInfection Control Center, Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Ximao WenInfection Control Center, Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Xin HuangInfection Control Center, Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Chenchao FuInfection Control Center, Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Jie LiInfection Control Center, Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Qingya DouInfection Control Center, Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Yao LiuInfection Control Center, Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Jia WangBioyong Technologies Inc, Beijing, China.
Qun YanDepartment of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Mingxiang ZouDepartment of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Wenen LiuDepartment of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Zhong PengState Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, China.ORCID 0000-0001-5249-328X
Liang ChenPublic Health Research Institute Tuberculosis Center, New Jersey Medical School, Rutgers University, Newark, New Jersey, USA.
Chunhui LiInfection Control Center, Xiangya Hospital of Central South University, Changsha, Hunan Province, China. lichunhui@csu.edu.cn.
Anhua WuInfection Control Center, Xiangya Hospital of Central South University, Changsha, Hunan Province, China. xywuanhua@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbapenem-resistant K. pneumoniae (CR-KP) posts significant public health challenge worldwide. The aim of this study is to assess clinical characteristics and molecular epidemiology of CR-KP infections with Multilocus sequence typing (MLST) and Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF) in Central China. A total of 71 CR-KP isolates were recovered in a teaching hospital from October 2014 to December 2015. Among all CR-KP isolates, 73.2% (52) produced K. pneumoniae carbapenemases-2 (KPC-2). Eighteen ST types were identified by MLST, among these ST types, forty-seven isolates belonged to ST11 type, which was the predominant outbreak strain in China, and most ST11 isolates produced KPC-2. Eleven mass spectrometry (MS) types were identified by MALDI-TOF MS analysis, 53.5% isolates were MS4 and MS6, which matched with ST11 in MLST analysis. CR-KP infection was associated with increased medical cost and longer hospitalization. Therefore, we found that KPC-2-producing ST11 (MS4 and MS6) CR-KP isolates were the predominant clone identified by MLST and MALDI-TOF, and CR-KP infection was associated with increased hospital costs and longer hospitalization.

Indexed as

CarbapenemsDisease OutbreaksKlebsiella pneumoniaeChinaDrug Resistance, BacterialFemaleHumansKlebsiella InfectionsMaleMolecular EpidemiologyRetrospective StudiesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationCarbapenems

Identifiers

PMID30783127
PMCPMC6381170

What OpenQuestion holds

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LicenceCC BY
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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.