Evidence map›Paper›PMID 29557292›Full record

ArticleThe Journal of international medical research2018

Heavy metal contamination in soils and vegetables and health risk assessment of inhabitants in Daye, China.

Jun Yang, Silu Ma, Jingcheng Zhou, Yongwei Song, Fei Li

Abstract read
In one paragraph

Article in The Journal of international medical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  4. Contamination, speciation, and health risk assessment of arsenic in leafy vegetables in Ambagarh Chowki (India).Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
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  16. Chronic Exposure to Lead and Cadmium in Residents Living Near a Zinc Smelter.International journal of environmental research and public health · 2021
    Article
  17. Article
  18. 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

5 authors.

Jun Yang1 Research Center for Environment and Health, Zhongnan University of Economics and Law.
Silu Ma1 Research Center for Environment and Health, Zhongnan University of Economics and Law.
Jingcheng Zhou1 Research Center for Environment and Health, Zhongnan University of Economics and Law.
Yongwei Song1 Research Center for Environment and Health, Zhongnan University of Economics and Law.
Fei Li1 Research Center for Environment and Health, Zhongnan University of Economics and Law.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective This study was performed to evaluate the state of heavy metal contamination in soil and vegetables and assess the health risk of inhabitants in the mine-affected area and area far from the mine (reference area) in Daye, China. Methods The heavy metal concentrations in soil and vegetable samples were detected by inductively coupled plasma mass spectrometry. Residents' exposure parameters were obtained through a questionnaire survey. A health risk assessment model recommended by the United States Environmental Protection Agency was used to evaluate the residents' risk of oral exposure. Results The copper, lead, cadmium, and arsenic concentrations in soil and in vegetables were higher in the mine-affected area than in the reference area. The health risk of residents in the reference area was within the acceptable range (hazard index < 1, carcinogen risk < 10

Indexed as

Environmental MonitoringMiningAdultArsenicCadmiumChildChinaCopperFood ContaminationHumansLeadMass SpectrometryMetallurgyMetals, HeavyRisk AssessmentSoilArsenicCadmiumCopperLeadMetals, HeavySoilSoil Pollutantscarcinogen riskDayehazard indexhealth risk assessmentHeavy metalsoilvegetable

Identifiers

PMID29557292
PMCPMC6134685

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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.