Evidence map›Paper›PMID 41239259›Full record

ArticleBMC infectious diseases2025

High prevalence and emerging cephalosporin resistance of penicillinase-producing Neisseria gonorrhoeae in Meizhou, China (2022-2024).

Qian Li, Xueqin Chen, Yuhong Huang, Jinyan Wu, Zhaoye Huang, Xinlu Wang, Xuemin Guo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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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

2 citing papers in PubMed.

  1. Article
  2. Clonal Expansion ofInfection and drug resistance · 2026
    Article
4 · The record

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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

7 authors.

Qian LiClinical Laboratory Center, Meizhou People's Hospital, Meizhou, Guangdong, China.
Xueqin ChenClinical Laboratory Center, Meizhou People's Hospital, Meizhou, Guangdong, China.
Yuhong HuangClinical Laboratory Center, Meizhou People's Hospital, Meizhou, Guangdong, China.
Jinyan WuMedical College of Jiaying University, Meizhou, Guangdong, China.
Zhaoye HuangMedical College of Jiaying University, Meizhou, Guangdong, China.
Xinlu WangState Key Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Xuemin GuoClinical Laboratory Center, Meizhou People's Hospital, Meizhou, Guangdong, China. guoxuemin@mzrmyy.com.

Funding

Guangdong Medical Science and Technology Research Foundation No. A2024211Guangdong Provincial Clinical Research Center for Laboratory Medicine No. 2023B110008National Key Research and Development Program of China No. 2022YFC2304600Scientific Research Cultivation Program of Meizhou People's Hospital No. PY-C2023018
6 · The paper itself

Abstract

backgroundThe global spread of penicillinase-producing Neisseria gonorrhoeae (PPNG) has rendered penicillin-based regimens largely ineffective, and emerging cephalosporin-resistance patterns continue to challenge therapeutic strategies. However, epidemiological surveillance data from resource-limited regions of China remain scarce. This study aimed to determine the prevalence, molecular epidemiology and cephalosporin susceptibility of PPNG isolates in Meizhou, China.

methodsNeisseria gonorrhoeae isolates were collected from Meizhou People's Hospital between 2022 and 2024. Antimicrobial susceptibility to penicillin, ceftriaxone, and cefixime was determined using the broth microdilution method, with PPNG identified by the nitrocefin test. Plasmid types were detected by multiplex PCR, while bla

resultsA total of 101 Neisseria gonorrhoeae isolates were collected. Among these, 78.2% (79/101) were PPNG, carrying African-type (92.4%, 73/79) or Asian-type (7.6%, 6/79) plasmids; within the PPNG group, 94.9% (75/79) harbored bla

conclusionThe high prevalence of PPNG and emerging cephalosporin resistance, including bla CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Anti-Bacterial AgentsCephalosporin ResistanceCephalosporinsGonorrheaNeisseria gonorrhoeaePenicillinaseAdultChinaFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedMolecular EpidemiologyPhylogenyPlasmidsAnti-Bacterial AgentsCephalosporinsPenicillinasebla TEM−135NG-MASTPenicillinase-producing Neisseria gonorrhoeaePlasmid typing

Identifiers

PMID41239259
PMCPMC12619264

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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.