Evidence map›Paper›PMID 25617838›Full record

ArticlePloS one2015

Genetic characterization of Shigella flexneri isolates in Guizhou Province, China.

Shijun Li, Qiangzheng Sun, Xiaoyu Wei, John D Klena, Jianping Wang, Ying Liu, Kecheng Tian, Xia Luo, Changyun Ye, Jianguo Xu and 2 more

Abstract read
In one paragraph

Article in PloS one, 2015. 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
–field-weighted citation impact
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.

  1. AnalyzingInfection and drug resistance · 2025
    Article
  2. Review
  3. Oman medical journal · 2023
    Review
  4. Article
  5. Article
  6. Accurate differentiation ofNew microbes and new infections · 2018
    Review
  7. Epidemic characterization and molecular genotyping ofAntimicrobial resistance and infection control · 2017
    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.

Shijun LiInstitute of Communicable Disease Control and Prevention, Guizhou Provincial Center for Disease Control and Prevention, 101 Bageyan Road, Guiyang, 550004, Guizhou, People's Republic of China.
Qiangzheng SunState Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, China CDC, P.O. Box 5, Changping, Beijing, China.
Xiaoyu WeiInstitute of Communicable Disease Control and Prevention, Guizhou Provincial Center for Disease Control and Prevention, 101 Bageyan Road, Guiyang, 550004, Guizhou, People's Republic of China.
John D KlenaInternational Emerging Infections Program, US Centers for Disease Control and Prevention, Beijing, China; Global Disease Detection Branch, Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Jianping WangState Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, China CDC, P.O. Box 5, Changping, Beijing, China.
Ying LiuInstitute of Communicable Disease Control and Prevention, Guizhou Provincial Center for Disease Control and Prevention, 101 Bageyan Road, Guiyang, 550004, Guizhou, People's Republic of China.
Kecheng TianInstitute of Communicable Disease Control and Prevention, Guizhou Provincial Center for Disease Control and Prevention, 101 Bageyan Road, Guiyang, 550004, Guizhou, People's Republic of China.
Xia LuoState Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, China CDC, P.O. Box 5, Changping, Beijing, China.
Changyun YeState Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, China CDC, P.O. Box 5, Changping, Beijing, China.
Jianguo XuState Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, China CDC, P.O. Box 5, Changping, Beijing, China.
Dingming WangInstitute of Communicable Disease Control and Prevention, Guizhou Provincial Center for Disease Control and Prevention, 101 Bageyan Road, Guiyang, 550004, Guizhou, People's Republic of China.
Guangpeng TangInstitute of Communicable Disease Control and Prevention, Guizhou Provincial Center for Disease Control and Prevention, 101 Bageyan Road, Guiyang, 550004, Guizhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shigella flexneri is one of the major etiologic causes of shigellosis in Guizhou Province, China. However, the genetic characteristics of circulating isolates are unknown. Phenotypic and molecular profiles of 60 S. flexneri isolates recovered in Guizhou between 1972 to 1982 and 2008 to 2010 were determined. Nine serotypes (1a, 2a, 3a, 1b, 2b, X, Y, 4av and Yv) were identified. Multi-locus sequence typing differentiated the isolates into 20 sequence types (STs); 18 were novel. Four STs, ST 129, ST 100, ST 126 and ST 18, were most abundant, accounting for 65% of the isolates. Thirty-nine NotI-pulsed field gel electrophoresis patterns (pulsotypes, PTs) were observed; eight PTs were represented by more than one isolate with six isolates sharing the PT 13 profile. Multi-locus variable-nucleotide tandem-repeat analysis recognized 44 different types (MTs); seven MTs were represented by more than one isolate and MT 1 was most commonly encountered. Correlation between genetic relationships and serotypes was observed among the isolates studied; the majority of isolates belonging to the same serotype from different years clustered together based on the molecular data. These clustered isolates were also from similar geographical origins. These results enhance our understanding of genetic relationships between S. flexneri in Guizhou Province and can be used to help understand the changing etiology of shigellosis in China.

Indexed as

ChinaGenotypeMinisatellite RepeatsMultilocus Sequence TypingSerogroupShigella flexneri

Identifiers

PMID25617838
PMCPMC4305296

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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.