Evidence map›Paper›PMID 41430184›Full record

ArticleBMC public health2025

Gannan rare earth elements cohort: study design, methods, and baseline characteristics of the cohort.

Wei Liu, Lei Huang, Jie Wang, Yuyang Lei, Fen Yan, Shuting Cao, Zhiyu Jiang, Jiabin Xu, Yi He, Feijie Wang and 5 more

Abstract read
In one paragraph

Article in BMC public health, 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
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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

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

15 authors.

Wei LiuMedical Big Data and Bioinformatics Research Centre, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Lei HuangSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Jie WangSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Yuyang LeiSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Fen YanSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Shuting CaoSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Zhiyu JiangSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Jiabin XuMedical Big Data and Bioinformatics Research Centre, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Yi HeMedical Big Data and Bioinformatics Research Centre, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Feijie WangMedical Big Data and Bioinformatics Research Centre, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Jiaqiang GuiInstitute of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
You GuoMedical Big Data and Bioinformatics Research Centre, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Weihong ChenSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Xiaokang ZhangSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi, China. zhangxiaokaju@163.com.
Yanfang GaoSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi, China. gaoyanfang1201@163.com.

Funding

Natural Science Foundation of Jiangxi Province 20252BAC200138
6 · The paper itself

Abstract

objectiveThe Gannan region, known as the "Kingdom of Rare Earths", supplies over 70% of the global demand for medium and heavy rare earth elements (REEs). However, large-scale mining has led to environmental REEs contamination, posing potential health risks to residents. The Gannan REEs Cohort (GREEC) was established to investigate the long-term health effects of REEs exposure.

methodsGREEC is an ongoing community-based prospective cohort study conducted in two counties of Ganzhou, China. We enrolled 1062 residents aged 18–80 years who had lived in the area for at least five years. At baseline, we collected comprehensive data via questionnaires, physical examinations, and biological samples. Urinary concentrations of 15 REEs were measured using inductively coupled plasma mass spectrometry. Follow-up surveys, including repeated physical examinations and validation of chronic disease endpoints, are planned every three years.

resultsThe mean age of participants was 50 years, with 78.81% being female. The prevalence of hypertension, dyslipidemia, and diabetes were 34.09%, 31.26%, and 6.40%, respectively. Detectable rates of all rare earth elements in urine were over 75%, with median concentrations ranging from 0.20 ng/L (Tm) to 28.54 ng/L (Nd). Light REEs (La, Ce, Pr, Nd) showed strong positive correlations (e.g., La and Ce: ρ = 0.85), whereas heavy REEs exhibited more complex correlation patterns.

conclusionAs the first community-based cohort focusing on residents in heavy REE mining areas, GREEC provides critical baseline data on REEs exposure and cardiometabolic risk profiles. Its longitudinal design and comprehensive data offer a unique platform for elucidating REEs-related health effects and underlying mechanisms.

Indexed as

Environmental ExposureMetals, Rare EarthAdolescentAdultAgedAged, 80 and overChinaCohort StudiesFemaleHumansMaleMiddle AgedMiningProspective StudiesResearch DesignYoung AdultMetals, Rare EarthCohort profileCohort studyEnvironmental healthProspective studyRare earth elements

Identifiers

PMID41430184
PMCPMC12751699

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.