Evidence map›Paper›PMID 40721600›Full record

ReviewNPJ science of food2025

Advancing microbial risk assessment: perspectives from the evolution of detection technologies.

Linlin Xiao, Zhao Li, Xin Dou, Yulin Long, Zhuosi Li, Yangtai Liu, Qingli Dong

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in NPJ science of food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

7 authors.

Linlin Xiao *Department of Laboratory Medicine, Affiliated Sixth People's Hospital South Campus, Shanghai Jiaotong University, Shanghai, China.
Zhao Li *School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Xin Dou *School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Yulin LongDepartment of Laboratory Medicine, Affiliated Sixth People's Hospital South Campus, Shanghai Jiaotong University, Shanghai, China.
Zhuosi LiSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Yangtai LiuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Qingli DongSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China. qdong@usst.edu.cn.

Funding

Intergovernmental international science and technology innovation cooperation key project of China's National Key R & D Progra 2024YFE0102600Shanghai Municipal Health System Key Discipline Construction Project 2024ZDXK0063
6 · The paper itself

Abstract

Microbial contamination threatens food safety, and traditional microbial risk assessment methods struggle with complex supply chains and microbial diversity. This paper reviews emerging detection technologies' applications in food safety, highlighting their role in advancing risk assessment and future research directions.

Identifiers

PMID40721600
PMCPMC12304167

What OpenQuestion holds

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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.