Evidence map›Paper›PMID 39951187›Full record

ArticleBiological trace element research2025

Spatial Clusters of Low Serum Selenium: the Priorities of Selenium Supplementation to Residents of Keshan Disease Endemic Areas.

Qingyu Zeng, Guijin Li, Ruixiang Wang, Cunqi Lv, Shuxiu Hao, Jiacheng Li, Huixin Sun, Linlin Du, Cheng Wang, Yu Zhang and 4 more

Abstract read
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In one paragraph

Article in Biological trace element research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

14 authors.

Qingyu Zeng *Institute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, 150081, China.
Guijin Li *Institute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, 150081, China.
Ruixiang WangInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, 150081, China.
Cunqi LvInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, 150081, China.
Shuxiu HaoInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, 150081, China.
Jiacheng LiInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, 150081, China.
Huixin SunInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, 150081, China.
Linlin DuInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, 150081, China.
Cheng WangInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, 150081, China.
Yu ZhangInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, 150081, China.
Xinshu WangNanchang University Queen Mary School, Nanchang, 330000, China.
Yuehui JiaInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, 150081, China. 202001070@hrbmu.edu.cn.
Qi LiDepartment of Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, 150081, China. liqi@ems.hrbmu.edu.cn.
Tong WangInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, 150081, China. wangtong@ems.hrbmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selenium deficiency is strongly associated with Keshan disease (KD). It is essential to investigate serum selenium levels from the perspective of etiological surveillance and evaluation of the populations at-risk. This research aims to identify areas at high risk of selenium deficiency using spatial epidemiological methods and to provide a scientific basis for targeted selenium supplementation. This cross-sectional study measured serum selenium levels using an atomic fluorescence spectrometer among 6,643 residents in KD endemic and non-endemic counties across China, applying spatial epidemiological methods, including global autocorrelation and local Moran's I analysis, to identify spatial clustering. Additionally, ordinary least squares regression was used to assess the correlation between serum selenium levels and per capita disposable income. The median serum selenium level among participants was 66.69 μg/L. Serum selenium levels of residents in KD endemic areas were significantly lower than those in non-endemic areas. A total of 72 counties were classified as selenium-deficient, 638 as selenium-marginal, and 967 as selenium-sufficient. Spatial clustering analysis identified 375 clusters of low selenium levels. Regression analysis revealed a positive correlation between serum selenium levels and per capita disposable income. The geographical distribution of serum selenium levels exhibits significant spatial clustering. The low-low clustering areas in provinces such as Sichuan, Shaanxi, Gansu and Yunnan should be prioritized for selenium nutrition interventions and surveillance. Furthermore, areas with low incomes may need enhanced strategies for selenium supplementation.

Indexed as

Dietary SupplementsEnterovirus InfectionsSeleniumAdolescentAdultAgedCardiomyopathiesChinaCluster AnalysisCross-Sectional StudiesFemaleHumansMaleMiddle AgedYoung AdultSeleniumKeshan diseaseSelenium nutritionSerum seleniumSpatial clusteringSpatial regression

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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.