Evidence map›Paper›PMID 42745970›Full record

ArticleChina CDC weekly2026

Beyond Soil Selenium: Agroindustrial Exposure Pathways and Diabetes Risk Assessment in Contemporary China.

Shuo Zhan, Zhenwu Huang

Abstract read
In one paragraph

Article in China CDC weekly, 2026. 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

2 authors.

Shuo ZhanDepartment of Clinical Nutrition, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Zhenwu HuangDepartment of Nutrition and Metabolism, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A recent multicenter Chinese cohort study reported a prospective association between high serum selenium (Se) status and incident type 2 diabetes (T2D), while interpreting regional serum Se variation largely through local soil geochemistry. Although the correlation between soil and serum Se is robust at the regional scale, the inferential leap from geochemistry to dietary exposure may underestimate contemporary food system inputs. Two structural features of modern China, institutionalized Se supplementation in compound feed since 2009 and large-scale importation of soybean meal from geochemically heterogeneous origins, have introduced agroindustrial Se pathways that may partially decouple animal-source dietary Se from local soils. Risk mapping based solely on geochemical proxies may misclassify exposure burden in regions where these pathways dominate. Future Se exposure assessments should integrate geochemical, dietary, food supply chain, environmental, and biomarker data, particularly for populations with serum Se levels comparable to the highest tertile in that cohort.

Indexed as

Food SystemSeleniumSoil GeochemistryType 2 Diabetes

Identifiers

PMID42745970
PMCPMC13575425

What OpenQuestion holds

Textmetadata
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.