Evidence map›Paper›PMID 34888116›Full record

ArticleChina CDC weekly2021

Surveillance of Multidrug-Resistant Bacterial Infections in Non-Adult Patients - Zhejiang Province, China, 2014-2019.

Yuchen Wu, Shi Chen, Jiaping Li, Chang Cai, Hanyu Wang, Mingming Zhou, Junmin Cao, Qiang Wang, Shenghai Wu, Shibiao Ding and 8 more

Abstract read
In one paragraph

Article in China CDC weekly, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Molecular epidemiology of carbapenem-resistantFrontiers in microbiology · 2025
    Article
  4. Article
  5. Article
  6. 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

18 authors.

Yuchen WuDepartment of Clinical Laboratory, the Second Affiliated Hospital of Zhejiang University, Zhejiang University, Hangzhou, Zhejiang, China.
Shi ChenClinical Microbiology Laboratory, the Third People's Hospital of Hangzhou, Hangzhou, Zhejiang, China.
Jiaping LiDepartment of Clinical Laboratory, the Second Affiliated Hospital of Zhejiang University, Zhejiang University, Hangzhou, Zhejiang, China.
Chang CaiChina Australia Joint Laboratory for Animal Health Big Data Analytics, College of Animal Science and Technology, Zhejiang Agricultural and Forestry University, Hangzhou, Zhejiang, China.
Hanyu WangMaster of Science, New Jersey Institute of Technology, Newark, New Jersey, the United States of America.
Mingming ZhouNational Clinical Research Center for Child Health, the Children's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Junmin CaoDepartment of Hospital Infection Control, Zhejiang Provincial Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang, China.
Qiang WangDepartment of Clinical Laboratory, the Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Shenghai WuDepartment of Laboratory Medicine, the First Affiliated People's Hospital of Hangzhou, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Shibiao DingHangzhou Red Cross Hospital, Hangzhou, Zhejiang, China.
Xiaofei ZhaoDepartment of Clinical Laboratory, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Long SunDepartment of Clinical Laboratory, Hangzhou Women's Hospital, Hangzhou Maternity and Child Health Care Hospital, Hangzhou, Zhejiang, China.
Qingfeng HuClinical Diagnostic Laboratory, People's Hospital of Zhejiang, Hangzhou, Zhejiang, China.
Hongwei ZhouDepartment of Clinical Laboratory, the Second Affiliated Hospital of Zhejiang University, Zhejiang University, Hangzhou, Zhejiang, China.
Xiang QianDepartment of Clinical Laboratory, Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang, China.
Qing YangThe First Affiliated Hospital of Zhejiang University, Zhejiang University, Hangzhou, Zhejiang, China.
Sheng ChenDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong Special Administrative Region, China.
Rong ZhangDepartment of Clinical Laboratory, the Second Affiliated Hospital of Zhejiang University, Zhejiang University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAntimicrobial resistance has become a major public health threat globally. The prevalence of multidrug-resistant (MDR) bacterial infections increased substantially among inpatients under 18 years of age in recent years. In Zhejiang Province, China, the trends of drug-resistance in non-adult patients from 2014 to 2019 were monitored, aiming to determine the variation patterns and epidemiological features of MDR strains.

methodsPatient data were collected from the Annual Review of Hospital Infection Resistance Survey in Zhejiang Province, 2014-2019. Statistical analysis was performed to analyze the pattern of distribution of five key bacterial pathogens in different age groups, ward settings, and bloodstream infections.

resultsFrom 2014 to 2019, a total of 30,163 multidrug-resistant strains were identified among 212,252 clinical isolates. The prevalence of extended spectrum β-lactamase-producing Enterobacteriaceae (ESBL-E), carbapenem-resistant Enterobacteriaceae (CRE), carbapenem-resistant

conclusionsDespite an overall decrease in the prevalence of drug-resistant bacteria in 2019, the rising prevalence of MRSA and CRPA still warrant much attention. Multidrug-resistant bacteria prevention and control strategies should be adjusted in a timely manner based on the surveillance results.

Indexed as

multidrug-resistantPediatricprevalences

Identifiers

PMID34888116
PMCPMC8633553

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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.