Evidence map›Paper›PMID 41053300›Full record

ArticleBiological trace element research2026

Geospatial Association between Keshan Disease and Selenoprotein P in Heilongjiang Province: A Bivariate Spatial Autocorrelation Analysis.

Jiacheng Li, Cheng Wang, Guijin Li, Xinshu Wang, Zhifeng Xing, Tong Wang

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Article in Biological trace element research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Jiacheng LiChinese Center for Endemic Disease Control, Harbin Medical University, 157 Baojian Road, Harbin, 150081, China.ORCID http://orcid.org/0009-0005-3848-1270
Cheng WangChinese Center for Endemic Disease Control, Harbin Medical University, 157 Baojian Road, Harbin, 150081, China.ORCID http://orcid.org/0009-0000-9145-833X
Guijin LiChinese Center for Endemic Disease Control, Harbin Medical University, 157 Baojian Road, Harbin, 150081, China.ORCID http://orcid.org/0000-0003-4468-5489
Xinshu WangNanchang University Queen Mary School, Nanchang, 330000, China.ORCID http://orcid.org/0009-0004-3104-2809
Zhifeng XingHeilongjiang Provincial Center for Disease Control and Prevention, 40 Youfang Street, Harbin, 150030, China. xzf_china@163.com.ORCID http://orcid.org/0009-0006-8659-6846
Tong WangChinese Center for Endemic Disease Control, Harbin Medical University, 157 Baojian Road, Harbin, 150081, China. wangtong@ems.hrbmu.edu.cn.ORCID http://orcid.org/0000-0002-8619-2650

Funding

National Natural Science Foundation of China 82073492
6 · The paper itself

Abstract

Keshan disease, a condition endemic to China, has been associated with selenium deficiency. However, spatial epidemiological research that integrates Keshan disease prevalence with selenium nutrition remains limited. This study aimed to explore the bivariate spatial autocorrelation between Keshan disease prevalence and serum selenoprotein P levels in Heilongjiang Province, in order to provide evidence for disease prevention and control. Prevalence data for all forms of Keshan disease were obtained through a national surveillance project and analyzed using spatial empirical Bayesian smoothing. Serum selenoprotein P levels were measured using enzyme-linked immunosorbent assay. Bivariate spatial autocorrelation analyses were conducted to assess the relationship between selenoprotein P levels and the prevalence of overall Keshan disease, chronic Keshan disease, and latent Keshan disease. Local spatial autocorrelation analysis of selenoprotein P levels revealed three low-low clusters, one low-high cluster, five high-low clusters, and one high-high cluster. No bivariate global spatial autocorrelation was observed between selenoprotein P levels and the prevalence of overall Keshan disease, chronic Keshan disease, or latent Keshan disease. In total, eight local clusters were identified, including three high-low and five low-high clusters. Nine clusters were identified as key regions for Keshan disease. The risk of Keshan disease among low-selenium nutrition groups was concentrated in three clusters. Residents living in or adjacent to these regions should be prioritized for prevention and control interventions.

Indexed as

Enterovirus InfectionsSelenoprotein PCardiomyopathiesChinaFemaleHumansMalePrevalenceSeleniumSpatial AnalysisSeleniumSelenoprotein PBivariate spatial autocorrelationClusterKeshan diseaseSELENOPSpatial empirical Bayesian smoothing

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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.