Evidence map›Paper›PMID 38268793›Full record

ArticleFrontiers in cellular and infection microbiology2023

Prevalence and resistance characteristics of multidrug-resistant

Xing Shi, Sandip Patil, Qing Wang, Zihao Liu, Chunqin Zhu, Heping Wang, Yunshen Chen, Liqiang Li, Liang Yang, Yuejie Zheng and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.4field-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

13 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Article
  5. Article
  6. Clinical microbiology reviews · 2025
    Review
  7. Genomic surveillance of invasiveMicrobial genomics · 2025
    Article
  8. Article
  9. Article
  10. Epidemiology, changing resistance trends and serotypes ofFrontiers in cellular and infection microbiology · 2025
    Article
  11. Article
  12. Serotype distribution and antimicrobial resistance ofNew microbes and new infections · 2024
    Article
  13. 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

12 authors at 3 institutions in 1 country.

Xing Shi *Department of Respiratory and Critical Care Medicine, Institute of Shenzhen Respiratory Diseases, The First Affiliated Hospital (Shenzhen People's Hospital), School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Sandip Patil *Department of Haematology and Oncology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Qing WangSchool of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Zihao LiuDepartment of Respiratory Medicine, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Chunqin ZhuDepartment of Respiratory Medicine, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Heping WangDepartment of Respiratory Medicine, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Yunshen ChenDepartment of Clinical Microbiology Laboratory, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Liqiang LiShenzhen Third People's Hospital, National Clinical Research Centre for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, China.
Liang YangShenzhen Third People's Hospital, National Clinical Research Centre for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, China.
Yuejie ZhengDepartment of Respiratory Medicine, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Shaowei DongDepartment of Haematology and Oncology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Yanmin BaoDepartment of Respiratory Medicine, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Shenzhen Children's Hospital · CNShenzhen Third People’s Hospital · CNSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: PCV13 introduction in China has led to a significant reduction of vaccine serotype Methods: A total of 669 Results: We found that non-vaccine serotypes strains had accounted for 46.6% of all the pneumococcal isolated strains. The most common non-vaccine serotype is 23A, with a prevalence rate of 8.9%, followed by 15A (6.6%), 6E (5.7%), 34 (3.2%), and 15B (2.9%). The multidrug resistance rates (MDR) of vaccine serotypes were 19F (99.36%), 19A (100%), 23F (98.08%), 6B (100%), and 6C (100%). Meanwhile, the MDR of non-vaccine serotypes were 15B (100.00%), 6E (100%), 15C (100%), 34 (95.24%), and 23A (98.31%). Resistance rates of 6E to more than six antibiotic classes reached 89.47%, which is similar to 19F (83.33%) and 19A (90%). Unique resistance profiles were also identified for non-vaccine serotypes, including significantly higher resistance to chloramphenicol in 6E, 15B, and 15C than in 19F and 19A. Furthermore, through genome sequencing, we revealed strong correlation of Conclusion: The introduction of PCV13 into China from 2017 has led to a shift in the dominant composition of pneumococcal strains. There has been a notable rise and spread of multidrug-resistant non-vaccine serotypes among children. Specifically, the non-vaccine serotype 6E, which was not widely reported in China previously, has emerged. To comprehend the resistance mechanisms, it is crucial to further investigate the molecular and genetic characteristics of these non-vaccine serotypes.

Indexed as

Child, HospitalizedStreptococcus pneumoniaeAnti-Bacterial AgentsChildChinaHumansPneumococcal VaccinesPrevalenceRespiratory SystemAnti-Bacterial AgentsPneumococcal VaccinesMDR phenotypenon-vaccine serotypePCV13pneumococcuswhole genome sequencing

Identifiers

PMID38268793
PMCPMC10806184
OpenAlexW4390699179

What OpenQuestion holds

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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.