Evidence map›Paper›PMID 41561868›Full record

ArticleFrontiers in public health2025

Traceability analysis of a foodborne disease outbreak caused by

Li Wang, Ying Luo, Yuanting Sun, Fen Lu, Yiqun Chen, Liangliang Jiang

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Li WangDepartment of Microbiology and Laboratory Medicine, Ma'anshan Center for Disease Control and Prevention (Ma'anshan Health Supervision Institute), Ma'anshan, China.
Ying LuoDepartment of Microbiology and Laboratory Medicine, Ma'anshan Center for Disease Control and Prevention (Ma'anshan Health Supervision Institute), Ma'anshan, China.
Yuanting SunDepartment of Microbiology and Laboratory Medicine, Ma'anshan Center for Disease Control and Prevention (Ma'anshan Health Supervision Institute), Ma'anshan, China.
Fen LuDepartment of Microbiology and Laboratory Medicine, Ma'anshan Center for Disease Control and Prevention (Ma'anshan Health Supervision Institute), Ma'anshan, China.
Yiqun ChenSchool of Public Health, Anhui Medical University, Hefei, China.
Liangliang JiangDepartment of Microbiology and Laboratory Medicine, Ma'anshan Center for Disease Control and Prevention (Ma'anshan Health Supervision Institute), Ma'anshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to perform laboratory testing and traceability analysis of suspicious samples from a foodborne disease outbreak caused by Methods: On-site epidemiological investigations were conducted, and suspicious biological, food, and environmental samples were collected. Patient biological samples underwent multi-pathogen screening. Following the epidemiological analysis, isolation, culture, and identification of suspected pathogens were carried out. Toxin gene detection and whole-genome sequencing were then performed on the isolated Results: A total of 131 samples were collected during the outbreak. Among these, 20 anal swabs from patients with diarrhoea were tested for the nucleic acids of foodborne pathogens and five types of Diarrheagenic Conclusion: The outbreak was likely caused by contamination of Chinese food by

Indexed as

Clostridium InfectionsClostridium perfringensDisease OutbreaksFoodborne DiseasesChinaFood MicrobiologyHumansWhole Genome SequencingClostridium perfringensfoodborne diseasestoxin genetraceability analysiswhole-genome sequencing

Identifiers

PMID41561868
PMCPMC12812950

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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.