Evidence map›Paper›PMID 36342937›Full record

ArticlePloS one2022

Estimating the burden of foodborne gastroenteritis due to nontyphoidal Salmonella enterica, Shigella and Vibrio parahaemolyticus in China.

Yan-Jun Li, Yun-Fan Yang, Yi-Jing Zhou, Rong-Hua Zhang, Cheng-Wei Liu, Hong Liu, Xiu-Gui Li, Wen Chen, Yan Chen, Yong-Ning Wu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Molecular epidemiological analysis ofFrontiers in public health · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Prevalence ofChina CDC weekly · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Antimicrobial Resistance and Genomic Characterization ofTransboundary and emerging diseases · 2024
    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

10 authors at 7 institutions in 1 country.

Yan-Jun LiNHC Key Laboratory of Food Safety Risk Assessment, Research Unit of Food Safety, Chinese Academy of Medical Sciences (No. 2019RU014), China National Center for Food Safety Risk Assessment, Beijing, People's Republic of China.
Yun-Fan YangNHC Key Laboratory of Food Safety Risk Assessment, Research Unit of Food Safety, Chinese Academy of Medical Sciences (No. 2019RU014), China National Center for Food Safety Risk Assessment, Beijing, People's Republic of China.
Yi-Jing ZhouJiangsu Provincial Center for Disease Control and Prevention, Nanjing, People's Republic of China.
Rong-Hua ZhangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People's Republic of China.
Cheng-Wei LiuJiangxi Provincial Center for Disease Control and Prevention, Nanchang, People's Republic of China.
Hong LiuShanghai Municipal Center for Disease Control and Prevention, Shanghai, People's Republic of China.
Xiu-Gui LiGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, People's Republic of China.
Wen ChenSichuan Provincial Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Yan ChenNHC Key Laboratory of Food Safety Risk Assessment, Research Unit of Food Safety, Chinese Academy of Medical Sciences (No. 2019RU014), China National Center for Food Safety Risk Assessment, Beijing, People's Republic of China.ORCID 0000-0001-7120-9571
Yong-Ning WuNHC Key Laboratory of Food Safety Risk Assessment, Research Unit of Food Safety, Chinese Academy of Medical Sciences (No. 2019RU014), China National Center for Food Safety Risk Assessment, Beijing, People's Republic of China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNGuangxi Center for Disease Prevention and Control · CNJiangsu Provincial Center for Disease Control and Prevention · CNNanchang Center for Disease Control and Prevention · CNShanghai Municipal Center For Disease Control Prevention · CNSichuan Center for Disease Control and Prevention · CNZhejiang Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To estimate the incidence of foodborne gastroenteritis caused by nontyphoidal Salmonella enterica, Shigella, and Vibrio parahaemolyticus in China, population surveys and sentinel hospital surveillance were implemented in six provinces from July 2010 to July 2011, and a multiplier calculation model for the burden of disease was constructed. The multiplier for salmonellosis and V. parahaemolyticus gastroenteritis was estimated at 4,137 [95% confidence interval (CI) 2,320-5,663], and for shigellosis at 4,356 (95% CI 2,443-5,963). Annual incidence per 100,000 population was estimated as 245 (95% CI 138-336), 67 (95% CI 38-92), and 806 (95% CI 452-1,103) for foodborne salmonellosis, shigellosis, and V. parahaemolyticus gastroenteritis, respectively, indicating that foodborne infection caused by these three pathogens constitutes an important burden to the Chinese healthcare system. Continuous implementation of active surveillance of foodborne diseases, combined with multiplier models to estimate disease burden, makes it possible for us to better understand food safety status in China.

Indexed as

Dysentery, BacillaryFoodborne DiseasesGastroenteritisSalmonella entericaSalmonella Food PoisoningSalmonella InfectionsShigellaVibrio parahaemolyticusChinaHumans

Identifiers

PMID36342937
PMCPMC9639838
OpenAlexW4308411852

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.