Evidence map›Paper›PMID 32034620›Full record

ArticleEnvironmental geochemistry and health2020

Changes in urinary arsenic species and methylation capacity in original arsenic exposure cohort after water quality improvement.

Chang Kong, Linsheng Yang, Jiangping Yu, Hairong Li, Binggan Wei, Zhiwei Guo, Yajuan Xia, Kegong Wu

Abstract read
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In one paragraph

Article in Environmental geochemistry and health, 2020. 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
0.6field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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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

8 authors at 2 institutions in 1 country.

Chang KongKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11 A Datun Road, Beijing, 100101, People's Republic of China.
Linsheng YangKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11 A Datun Road, Beijing, 100101, People's Republic of China.
Jiangping YuKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11 A Datun Road, Beijing, 100101, People's Republic of China.
Hairong LiKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11 A Datun Road, Beijing, 100101, People's Republic of China.
Binggan WeiKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11 A Datun Road, Beijing, 100101, People's Republic of China. weibg@igsnrr.ac.cn.ORCID http://orcid.org/0000-0003-3999-1078
Zhiwei GuoInner Mongolia Comprehensive Center for Disease Control and Prevention, Hohhot, Inner Mongolia, People's Republic of China.
Yajuan XiaInner Mongolia Comprehensive Center for Disease Control and Prevention, Hohhot, Inner Mongolia, People's Republic of China.
Kegong WuInner Mongolia Comprehensive Center for Disease Control and Prevention, Hohhot, Inner Mongolia, People's Republic of China.
Chinese Academy of Sciences · CNInner Mongolia Comprehensive Disease Prevention and Control Center · CN

Funding

Health and Family Planning Project of Inner Mongolia 201702045National Natural Science Foundation of China 41601559State Key Program of National Natural Science of China 41230749
6 · The paper itself

Abstract

Water quality improvement is the most efficient way to prevent arsenic exposure. After the cessation of arsenic ingestion, arsenic methylation capacity of the exposed population can change significantly. The factors associated with these changes remain poorly understood. Therefore, arsenic methylation capacity in a study cohort was estimated before and after water quality improvement in the present study. Results indicated that urinary content of the arsenic species in the study cohort significantly decreased after water quality improvement. In addition, the proportions of inorganic arsenic (%iAs) and monomethyl arsenic acid (%MMA) were significantly decreased, while proportions of dimethyl arsenic (%DMA) increased. The primary methylation index (PMI) and secondary methylation index (SMI) increased from 0.85 to 0.92 and 0.82 to 0.84, respectively. Arsenic species urinary content and arsenic methylation index varied slightly between the study cohort after water quality improvement and the control cohort. The rate of increase in PMI was higher than that in SMI. The study group aged 31-50 years had the highest increase in PMI. Logistic regression revealed that %DMA before water quality improvement was negatively associated with the increase in PMI, while %iAs were positively related, and %MMA were positively associated with the increase in SMI. It is concluded that urinary arsenic species content and arsenic methylation capacity increased to the levels of the control cohort after water quality improvement. An increase in primary arsenic methylation capacity may be a burden on the secondary arsenic methylation capacity. The main role of arsenic methylation capacity recovery may be the cessation of arsenic exposure.

Indexed as

Water QualityAdolescentAdultAgedArsenicArsenicalsChildChinaCohort StudiesDrinking WaterEnvironmental ExposureFemaleHumansLogistic ModelsMaleMethylationArsenicArsenicalsDrinking WaterWater Pollutants, ChemicalArsenicChangeDrinking groundwaterMethylation capacityWater quality improvement

Identifiers

PMID32034620
OpenAlexW3004717497

What OpenQuestion holds

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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.