Evidence map›Paper›PMID 27780663›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]

Characterization of Vibrio cholerae isolates from 1976 to 2013 in Shandong Province, China.

Hui Lü, Yuqi Yuan, Na Sun, Zhenwang Bi, Bing Guan, Kun Shao, Tongzhan Wang, Zhenqiang Bi

Open access · hybridAbstract readHistorical Article
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Molecular characterization ofIranian journal of microbiology · 2021
    Article
  2. MLST/MVLST Analysis and Antibiotic Resistance ofIranian journal of public health · 2021
    Article
  3. Characterisation ofThe Pan African medical journal · 2020
    Article
  4. Review
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

8 authors at 3 institutions in 1 country.

Hui LüShandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan, China; Academy of Preventive Medicine, Shandong University, Jinan, China.
Yuqi YuanThe Second Hospital of Shandong University, Jinan, China.
Na SunShandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan, China; Academy of Preventive Medicine, Shandong University, Jinan, China.
Zhenwang BiShandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan, China; Academy of Preventive Medicine, Shandong University, Jinan, China.
Bing GuanShandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan, China; Academy of Preventive Medicine, Shandong University, Jinan, China.
Kun ShaoShandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan, China; Academy of Preventive Medicine, Shandong University, Jinan, China.
Tongzhan WangShandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan, China; Academy of Preventive Medicine, Shandong University, Jinan, China.
Zhenqiang BiShandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan, China; Academy of Preventive Medicine, Shandong University, Jinan, China; Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan, China. Electronic address: bzq63@163.com.
Shandong University · CNShandong Center for Disease Control and Prevention · CNSecond Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cholera continues to be a serious public health issue in developing countries. We analyzed the epidemiological data of cholera from 1976 to 2013 in Shandong Province, an eastern coastal area of China. A total of 250 Vibrio cholerae isolates were selected for PCR analysis of virulence genes and pulsed-field gel electrophoresis (PFGE). The analysis of the virulence genes showed that the positive rates for tcpA and tcpI were the highest among strains from the southwest region, which had the highest incidence rate of cholera. Low positive rates for tcpA, tcpI and ctxAB among isolates from after 2000 may be an influencing factor contributing to the contemporary decline in cholera incidence rates. Spatiotemporal serotype shifts (Ogawa, Inaba, Ogawa, Inaba and O139) generally correlated with the variations in the PFGE patterns (PIV, PIIIc, PIa, PIIIb, PIIIa, PIb, and PII). O1 strains from different years or regions also had similar PFGE patterns, while O139 strains exclusively formed one cluster and differed from all other O1 strains. These data indicate that V. cholerae isolates in Shandong Province have continually undergone spatiotemporal changes. The serotype switching between Ogawa and Inaba originated from indigenous strains, while the emergence of serogroup O139 appeared to be unrelated to endemic V. cholerae O1 strains.

Indexed as

Bacterial Typing TechniquesChinaCholeraCluster AnalysisElectrophoresis, Gel, Pulsed-FieldHistory, 20th CenturyHistory, 21st CenturyHumansSerogroupVibrio choleraeVirulenceEpidemiologyPFGEVibrio choleraeVirulence genes

Identifiers

PMID27780663
PMCPMC5221356
OpenAlexW2531535285

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.