Evidence map›Paper›PMID 38229068›Full record

ArticleBMC microbiology2024

Molecular epidemiology of Mycoplasma pneumoniae pneumonia in children, Wuhan, 2020-2022.

Meng Xu, Ying Li, Yue Shi, Haizhou Liu, Xi Tong, Li Ma, Jie Gao, Qing Du, Hui Du, Di Liu and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
21.3field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Observational
  3. Trends and outcomes ofMicrobiology spectrum · 2026
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  4. Early clinical predictors of macrolide-resistant Mycoplasma pneumoniae pneumonia in hospitalized children during the 2024 outbreak in South Korea.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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  13. Association between normalizedTranslational pediatrics · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Host inflammatory markers and MLVA profiling for risk assessment of severe pediatricFrontiers in cellular and infection microbiology · 2026
    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.

Meng Xu *CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China.
Ying Li *CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China.
Yue ShiCAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China.
Haizhou LiuCAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China.
Xi TongCAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China.
Li MaCAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China.
Jie GaoCAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China.
Qing DuWuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China, 100 Hongkong Road, Jiangan District, Hubei.
Hui DuWuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China, 100 Hongkong Road, Jiangan District, Hubei.
Di LiuCAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China. liud@wh.iov.cn.
Xiaoxia LuWuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China, 100 Hongkong Road, Jiangan District, Hubei. lusi74@163.com.
Yi YanCAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China. yanyi@wh.iov.cn.
Chinese Academy of Sciences · CNWuhan Institute of Virology · CNHuazhong University of Science and Technology · CN

Funding

Health Commission of Hubei Province WJ2021M262Knowledge innovation project of Wuhan Science and Technology 20220208010567National Natural Science Foundation of China 31970548Natural Science Fund of Hubei Province 2021CFA012
6 · The paper itself

Abstract

backgroundMycoplasma pneumoniae (M. pneumoniae) is an important pathogen of community-acquired pneumonia in children. The factors contributing to the severity of illness caused by M. pneumoniae infection are still under investigation. We aimed to evaluate the sensitivity of common M. pneumoniae detection methods, as well as to analyze the clinical manifestations, genotypes, macrolide resistance, respiratory microenvironment, and their relationship with the severity of illness in children with M. pneumoniae pneumonia in Wuhan.

resultsAmong 1,259 clinical samples, 461 samples were positive for M. pneumoniae via quantitative polymerase chain reaction (qPCR). Furthermore, we found that while serological testing is not highly sensitive in detecting M. pneumoniae infection, but it may serve as an indicator for predicting severe cases. We successfully identified the adhesin P1 (P1) genotypes of 127 samples based on metagenomic and Sanger sequencing, with P1-type 1 (113/127, 88.98%) being the dominant genotype. No significant difference in pathogenicity was observed among different genotypes. The macrolide resistance rate of M. pneumoniae isolates was 96% (48/50) and all mutations were A2063G in domain V of 23S rRNA gene. There was no significant difference between the upper respiratory microbiome of patients with mild and severe symptoms.

conclusionsDuring the period of this study, the main circulating M. pneumoniae was P1-type 1, with a resistance rate of 96%. Key findings include the efficacy of qPCR in detecting M. pneumoniae, the potential of IgM titers exceeding 1:160 as indicators for illness severity, and the lack of a direct correlation between disease severity and genotypic characteristics or respiratory microenvironment. This study is the first to characterize the epidemic and genomic features of M. pneumoniae in Wuhan after the COVID-19 outbreak in 2020, which provides a scientific data basis for monitoring and infection prevention and control of M. pneumoniae in the post-pandemic era.

Indexed as

Mycoplasma pneumoniaePneumonia, MycoplasmaAnti-Bacterial AgentsChildDrug Resistance, BacterialHumansMacrolidesMolecular EpidemiologyPandemicsRNA, Ribosomal, 23SAnti-Bacterial AgentsMacrolidesRNA, Ribosomal, 23SEpidemiologyGenome diversityMacrolide-ResistantMetagenomicsMycoplasma pneumoniae

Identifiers

PMID38229068
PMCPMC10792977
OpenAlexW4390951027

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.