Evidence map›Paper›PMID 36844410›Full record

ArticleFrontiers in cellular and infection microbiology2023

The dynamic change of serotype distribution and antimicrobial resistance of pneumococcal isolates since PCV13 administration and COVID-19 control in Urumqi, China.

Meng-Yang Guo, Xing-Hai Shi, Wei Gao, Ju-Ling Tian, Lin Yuan, Juan Yang, Dilinuer Wumaier, Jiang Cao, Reziwaguli Abulimiti, Wen-Li Zhang and 1 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Global Antimicrobial Non-Susceptibility Patterns ofInfection and drug resistance · 2026
    Review
  3. Article
  4. Clinical microbiology reviews · 2025
    Review
  5. Article
  6. Review
  7. [Dose-response relationship between age andZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    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

11 authors at 2 institutions in 1 country.

Meng-Yang GuoMinistry of Education (MOE) Key Laboratory of Major Diseases in Children, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Xing-Hai ShiMedical Laboratory, Urumqi Children's Hospital, Beijing, China.
Wei GaoMinistry of Education (MOE) Key Laboratory of Major Diseases in Children, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Ju-Ling TianMedical Laboratory, Urumqi Children's Hospital, Beijing, China.
Lin YuanMinistry of Education (MOE) Key Laboratory of Major Diseases in Children, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Juan YangMedical Laboratory, Urumqi Children's Hospital, Beijing, China.
Dilinuer WumaierMedical Laboratory, Urumqi Children's Hospital, Beijing, China.
Jiang CaoMedical Laboratory, Urumqi Children's Hospital, Beijing, China.
Reziwaguli AbulimitiMedical Laboratory, Urumqi Children's Hospital, Beijing, China.
Wen-Li ZhangMedical Laboratory, Urumqi Children's Hospital, Beijing, China.
Kai-Hu YaoMinistry of Education (MOE) Key Laboratory of Major Diseases in Children, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Beijing Children’s Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to analyze the serotype distribution and drug resistance of Methods: Serotypes of Results: A total of 317 isolates were involved in this study. The most common serotypes were type 19F (34.4%), followed by 19A (15.8%), 23F (11.7%), 6B (11.4%), and 6A(5.0%). The coverage rate of both PCV13 and PCV15 was 83.0%. The coverage of PCV20 was a little higher at 85.2%. The resistance rate against penicillin was 28.6% according to the breakpoints of oral penicillin, which would reach up to 91.8% based on the breakpoints of parenteral penicillin for meningitis. The resistance rates to erythromycin, clindamycin, tetracycline, and sulfamethoxazole-trimethoprim were 95.9%, 90.2%, 88.9%, and 78.8%, respectively. The PCV13 isolate was more resistant to penicillin than the non-PCV13 ones. There was not any significant change found in the serotype distribution since the PCV13 introduction and the COVID-19 control. The resistance rate against oral penicillin slightly elevated to 34.5% in 2018-2019 from 30.7% in 2014-2015 and then decreased significantly to 18.1% in 2020-2021 ( Conclusion: The common serotypes of

Indexed as

Anti-Infective AgentsCOVID-19Pneumococcal InfectionsAnti-Bacterial AgentsCeftriaxoneChildChinaDrug Resistance, BacterialHumansInfantPenicillinsPneumococcal VaccinesSerogroupSerotypingStreptococcus pneumoniaeAnti-Bacterial AgentsAnti-Infective AgentsCeftriaxonePenicillinsPneumococcal VaccineschildrenCOVID-19drug resistanceserotypeStreptococcus pneumoniae

Identifiers

PMID36844410
PMCPMC9951612
OpenAlexW4318612229

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.