Evidence map›Paper›PMID 26287765›Full record

ArticleFoodborne pathogens and disease2015

Risk Factors for Vibrio parahaemolyticus Infection in a Southern Coastal Region of China.

Yuxue Liao, Yinghui Li, Shuyu Wu, Jin Mou, Zengkang Xu, Rilin Cui, John D Klena, Xiaolu Shi, Yan Lu, Yaqun Qiu and 9 more

Open access · greenAbstract read
In one paragraph

Article in Foodborne pathogens and disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

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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

19 authors at 1 institution in 1 country.

Yuxue Liao1 Shenzhen Major Infectious Disease Control Key Laboratory, Shenzhen Center for Disease Control and Prevention , Guangdong Province, People's Republic of China .
Yinghui Li1 Shenzhen Major Infectious Disease Control Key Laboratory, Shenzhen Center for Disease Control and Prevention , Guangdong Province, People's Republic of China .
Shuyu Wu2 International Emerging Infections Program, United States Centers for Disease Control and Prevention , Beijing, People's Republic of China .
Jin Mou1 Shenzhen Major Infectious Disease Control Key Laboratory, Shenzhen Center for Disease Control and Prevention , Guangdong Province, People's Republic of China .
Zengkang Xu4 Xixiang People's Hospital , Baoan District, Shenzhen, Guangdong Province, People's Republic of China .
Rilin Cui4 Xixiang People's Hospital , Baoan District, Shenzhen, Guangdong Province, People's Republic of China .
John D Klena2 International Emerging Infections Program, United States Centers for Disease Control and Prevention , Beijing, People's Republic of China .
Xiaolu Shi1 Shenzhen Major Infectious Disease Control Key Laboratory, Shenzhen Center for Disease Control and Prevention , Guangdong Province, People's Republic of China .
Yan Lu1 Shenzhen Major Infectious Disease Control Key Laboratory, Shenzhen Center for Disease Control and Prevention , Guangdong Province, People's Republic of China .
Yaqun Qiu1 Shenzhen Major Infectious Disease Control Key Laboratory, Shenzhen Center for Disease Control and Prevention , Guangdong Province, People's Republic of China .
Yiman Lin1 Shenzhen Major Infectious Disease Control Key Laboratory, Shenzhen Center for Disease Control and Prevention , Guangdong Province, People's Republic of China .
Xu Xie1 Shenzhen Major Infectious Disease Control Key Laboratory, Shenzhen Center for Disease Control and Prevention , Guangdong Province, People's Republic of China .
Hanwu Ma1 Shenzhen Major Infectious Disease Control Key Laboratory, Shenzhen Center for Disease Control and Prevention , Guangdong Province, People's Republic of China .
Zhongjie Li5 Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Division of Infectious Disease, Chinese Center for Disease Control and Prevention , Beijing, People's Republic of China .
Hongjie Yu5 Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Division of Infectious Disease, Chinese Center for Disease Control and Prevention , Beijing, People's Republic of China .
Jay K Varma3 Global Disease Detection Branch, Division of Global Health Protection, Center for Global Health, United States Centers for Disease Control and Prevention , Atlanta, Georgia .
Lu Ran5 Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Division of Infectious Disease, Chinese Center for Disease Control and Prevention , Beijing, People's Republic of China .
Qinghua Hu1 Shenzhen Major Infectious Disease Control Key Laboratory, Shenzhen Center for Disease Control and Prevention , Guangdong Province, People's Republic of China .
Jinquan Cheng1 Shenzhen Major Infectious Disease Control Key Laboratory, Shenzhen Center for Disease Control and Prevention , Guangdong Province, People's Republic of China .
Chinese Center For Disease Control and Prevention · CN

Funding

CGH CDC HHS U2G GH000961Intramural CDC HHS CC999999PHS HHS 1U2GGH000961-01
6 · The paper itself

Abstract

objectivesThe objectives of the study were to identify dietary and medical risk factors for Vibrio parahaemolyticus (VP) infection in the coastal city Shenzhen in China.

methodsIn April-October 2012, we conducted a case-control study in two hospitals in Shenzhen, China. Laboratory-confirmed VP cases (N = 83) were matched on age, sex, and other social factors to healthy controls (N = 249). Subjects were interviewed using a questionnaire on medical history; contact with seawater; clinical symptoms and outcome; travel history over the past week; and dietary history 3 days prior to onset. Laboratory tests were used to culture, serotype, and genotype VP strains. We used logistic regression to calculate the odds ratios for the association of VP infection with potential risk factors.

resultsIn multivariate analysis, VP infection was associated with having pre-existing chronic disease (adjusted odds ratio [aOR], 6.0; 95% confidence interval [CI], 1.5-23.7), eating undercooked seafood (aOR, 8.0; 95% CI, 1.3-50.4), eating undercooked meat (aOR, 29.1; 95% CI, 3.0-278.2), eating food from a street food vendor (aOR, 7.6; 95% CI, 3.3-17.6), and eating vegetable salad (aOR, 12.1; 95% CI, 5.2-28.2).

conclusionsEating raw (undercooked) seafood and meat is an important source of VP infection among the study population. Cross-contamination of VP in other food (e.g., vegetables and undercooked meat) likely plays a more important role. Intervention should be taken to lower the risks of cross-contamination with undercooked seafood/meat, especially targeted at people with low income, transient workers, and people with medical risk factors.

Indexed as

Vibrio parahaemolyticusAdolescentAdultAgedCase-Control StudiesChildChinaCookingDiet SurveysFemaleFoodborne DiseasesHumansLogistic ModelsMaleMeatMiddle Aged

Identifiers

PMID26287765
PMCPMC4675456
OpenAlexW2171589523

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.