Evidence map›Paper›PMID 40509410›Full record

ArticleFoods (Basel, Switzerland)2025

Safety Risk Assessment and Classification of Cadmium in Grain Processing Products.

Qingchuan Zhang, Wenjie Dou, Zheng Wang, Xuemei Xu, Tongqiang Jiang

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 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

5 authors.

Qingchuan ZhangNational Engineering Laboratory for Agri-Product Quality Traceability, Beijing Technology and Business University, Beijing 100048, China.
Wenjie DouNational Engineering Laboratory for Agri-Product Quality Traceability, Beijing Technology and Business University, Beijing 100048, China.
Zheng WangNational Engineering Laboratory for Agri-Product Quality Traceability, Beijing Technology and Business University, Beijing 100048, China.
Xuemei XuChina International Electronic Commerce Center, Beijing 100083, China.
Tongqiang JiangNational Engineering Laboratory for Agri-Product Quality Traceability, Beijing Technology and Business University, Beijing 100048, China.ORCID 0000-0001-6544-548X

Funding

Tongqiang Jiang 2019YFC1606401
6 · The paper itself

Abstract

As a staple food for people worldwide, processed grain products, including rice, wheat flour, etc., have been the major source of the toxic element cadmium for human exposure. Indeed, cadmium contamination in processed grain products directly affects food security and human health, especially in countries with a grain-based diet like China. By analyzing the cadmium levels in processed grain products across 20 provinces and cities in China during the period 2023-2024, we have developed an improved k-means++ algorithm that determines the optimal clustering number through a voting scheme. This algorithm has enabled us to establish a risk classification model, which provides an objective and rapid assessment of risk levels based on data-driven analysis. The results of the risk classification reveal that the risk levels of cadmium contamination in processed grain products can be classified into five levels, with high-risk products accounting for only 2.81% of the total. As for different types of processed grain products, the risk levels of rice and other processed grain products are higher than that of wheat. In addition, the risk levels of southern provinces/cities in China are higher than those of northern provinces/cities.

Indexed as

cadmiumk-means++processed grain productsrisk assessmentrisk classification

Identifiers

PMID40509410
PMCPMC12154459

What OpenQuestion holds

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LicenceCC BY
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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.