Evidence map›Paper›PMID 29392546›Full record

ArticleEnvironmental geochemistry and health2018

Potential health risk assessment through ingestion and dermal contact arsenic-contaminated groundwater in Jianghan Plain, China.

Ran Li, Yi-Ming Kuo, Wen-Wen Liu, Cheng-Shin Jang, Enmin Zhao, Liquan Yao

Abstract read
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In one paragraph

Article in Environmental geochemistry and health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.8field-weighted citation impact, top 5% of its field
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

11 citing papers in PubMed, 59 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Ran LiSchool of Environmental Studies, China University of Geosciences, Wuhan, 430074, China.
Yi-Ming KuoSchool of Environmental Studies, China University of Geosciences, Wuhan, 430074, China. airkuo@ntu.edu.tw.
Wen-Wen LiuSchool of Environmental Studies, China University of Geosciences, Wuhan, 430074, China.
Cheng-Shin JangDepartment of Leisure and Recreation Management, Kainan University, Luzhu, 338, Taoyuan, Taiwan, ROC.
Enmin ZhaoSchool of Environmental Studies, China University of Geosciences, Wuhan, 430074, China.
Liquan YaoSchool of Environmental Studies, China University of Geosciences, Wuhan, 430074, China.
China University of Geosciences · CNKainan University · TW

Funding

Fundamental Research Funds for the Central Universities, China CUG130616Natural Science Foundation of Hubei Province of China 2015CFA050
6 · The paper itself

Abstract

Groundwater contamination with high arsenic (As) levels has caused serious health problem in Jianghan Plain. This study presents a framework to evaluate the results and their probable influencing factors of non-carcinogenic risk and carcinogenic risk in Shahu Village. An appropriate health risk assessment for residents exposing to As through ingestion and dermal contact pathways is also discussed in the paper. Hazard quotient (HQ) and target cancer risk (TR) are adopted to compute the non-carcinogenic and carcinogenic effects for residents, respectively. Monte Carlo simulation technique is used to quantify the uncertainty of the risk assessment. The assessment results show that the HQs and TRs of 10-m-deep and 25-m-deep wells exhibit seasonal variations with higher values in rainy season and lower values in dry season. The HQ values exceeding 1 at the depths of 10 (from 0.09 to 23.21 m) and 25 m (from 0.29 to 130.55 m) account for 61 and 94%, respectively, which associate with the As contents distribution in the aquifer sediments. The estimated TR values at the depths of 10 (from 3.86E-05 to 1.04E-02) and 25 m (from 1.32E-04 to 5.87E-02) exceeding the highest acceptable standard (10

Indexed as

Dietary ExposureEnvironmental ExposureArsenicChinaDrinking WaterGroundwaterRisk AssessmentSkinWater Pollutants, ChemicalArsenicDrinking WaterWater Pollutants, ChemicalArsenicHazard quotientHealth riskMonte Carlo simulationTarget cancer riskUncertainty

Identifiers

PMID29392546
OpenAlexW2786790675

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.