Evidence map›Paper›PMID 32676802›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2020

Epidemiological analysis of Group A Streptococcus infections in a hospital in Beijing, China.

Hongxin Li, Lin Zhou, Yong Zhao, Lijuan Ma, Jing Xu, Yan Liu, Qin Qin, Jin Hu, Xiaoyan Liu

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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2020. 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
1.1field-weighted citation impact, top 20% 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. Article
  2. Article
  3. Article
  4. Article
  5. Invasive Infection WithFrontiers in medicine · 2022
    Article
  6. Article
  7. Molecular Characteristics ofFrontiers in microbiology · 2021
    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

9 authors at 2 institutions in 1 country.

Hongxin LiDepartment of Dermatology, Children's Hospital Affiliated to Capital Institute of Pediatrics, Beijing, China. lihong9xin@126.com.ORCID http://orcid.org/0000-0001-9377-722X
Lin ZhouDepartment of Clinical Laboratory, Children's Hospital Affiliated to Capital Institute of Pediatrics, Beijing, China.
Yong ZhaoThe Sixth Medical Centre of Chinese PLA General Hospital, Beijing, China.
Lijuan MaDepartment of Clinical Laboratory, Children's Hospital Affiliated to Capital Institute of Pediatrics, Beijing, China.
Jing XuDepartment of Dermatology, Children's Hospital Affiliated to Capital Institute of Pediatrics, Beijing, China.
Yan LiuDepartment of Dermatology, Children's Hospital Affiliated to Capital Institute of Pediatrics, Beijing, China.
Qin QinDepartment of Dermatology, Children's Hospital Affiliated to Capital Institute of Pediatrics, Beijing, China.
Jin HuDepartment of Dermatology, Children's Hospital Affiliated to Capital Institute of Pediatrics, Beijing, China.
Xiaoyan LiuDepartment of Dermatology, Children's Hospital Affiliated to Capital Institute of Pediatrics, Beijing, China. lxyd@vip.sohu.com.
Capital Institute of Pediatrics · CNChinese PLA General Hospital · CN

Funding

Research Foundation of Capital Institute of Pediatrics PY-2020-05Research Foundation of Capital Institute of Pediatrics QN-2016-09
6 · The paper itself

Abstract

Our study aimed to investigate the epidemiological and molecular characteristics of isolates collected from Group A Streptococcus (GAS) infections in children in Beijing China during the year 2019. Emm typing, superantigens, and erythromycin resistance genotypes were determined by PCR. Antimicrobial susceptibility testing was performed as recommended by Clinical Laboratory Standards Institute (CLSI). A total of 271 GAS isolates were collected. Thirteen different emm types, including 31 subtypes, were identified. The most prevalent emm types were emm12 (52.77%), emm1 (36.9%), emm3.1 (2.95%), and emm75.0 (2.95%). Two variant subtypes, STC36.0 and STG840.2, were identified. There was no difference in the portion of emm12 and emm1 isolates in scarlet fever, impetigo, and psoriasis. The majority of superantigens detected were smeZ (94.46%), speC (91.14%), and ssa (74.91%), followed by speH (56.46%), speI (45.76%), speJ (36.9%), and speA (34.32%). More scarlet fever isolates harbored speA (35.6%) and speJ (38.4%), more psoriasis isolates harbored speI (57.9%), and more impetigo isolates harbored ssa (89.7%). Isolates were universally susceptible to penicillin and resistant to erythromycin (94.83%). Moreover, 89.67% erythromycin resistance isolates harbored the ermB gene. The erythromycin resistance rate of the isolates from the three diseases was different. Scarlet fever is the common streptococcal infectious disease in dermatology. Emm12 and emm1 were the most prevalent emm types. The most prevalent superantigens detected were smeZ, spec, and ssa. There is association between diversity of superantigens and disease manifestation. Hence, continuous surveillance of GAS molecular epidemiological characterizations in different diseases is needed.

Indexed as

AdolescentAnti-Bacterial AgentsAntigens, BacterialBacterial Outer Membrane ProteinsBacterial ProteinsBeijingChildChild, PreschoolDrug Resistance, BacterialErythromycinExotoxinsFemaleHospitals, PediatricHumansInfantInfant, NewbornAnti-Bacterial AgentsAntigens, BacterialBacterial Outer Membrane ProteinsBacterial ProteinsErythromycinExotoxinsMembrane ProteinsPenicillinsSpeA protein, Streptococcus pyogenesSuperantigensAntimicrobial resistanceAntimicrobial susceptibility testChildrenEmm typesGroup A StreptococcusStreptococcal M proteinSuperantigens

Identifiers

PMID32676802
OpenAlexW3043490465

What OpenQuestion holds

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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.