Evidence map›Paper›PMID 29574657›Full record

ArticleEnvironmental geochemistry and health2018

Shallow groundwater quality and associated non-cancer health risk in agricultural areas (Poyang Lake basin, China).

Evgeniya Soldatova, Zhanxue Sun, Sofya Maier, Valeriia Drebot, Bai Gao

Abstract read
PubMed Publisher
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.7field-weighted citation impact, top 19% 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

1 citing paper in PubMed, 27 citations in OpenAlex.

  1. Article
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 at 2 institutions in 2 countries.

Evgeniya SoldatovaNational Research Tomsk Polytechnic University, 30 Lenina Avenue, Tomsk, Russia, 634050. soldatovaea@tpu.ru.ORCID http://orcid.org/0000-0003-3967-4822
Zhanxue SunEast China University of Technology, 418 Guanglan Avenue, Nanchang, 330013, China.
Sofya MaierNational Research Tomsk Polytechnic University, 30 Lenina Avenue, Tomsk, Russia, 634050.
Valeriia DrebotNational Research Tomsk Polytechnic University, 30 Lenina Avenue, Tomsk, Russia, 634050.
Bai GaoEast China University of Technology, 418 Guanglan Avenue, Nanchang, 330013, China.
National Research Tomsk State University · RUEast China University of Technology · CN

Funding

Russian Science Foundation 17-77-10017
6 · The paper itself

Abstract

Owing to their accessibility, shallow groundwater is an essential source of drinking water in rural areas while usually being used without control by authorities. At the same time, this type of water resource is one of the most vulnerable to pollution, especially in regions with extensive agricultural activity. These factors increase the probability of adverse health effects in the population as a result of the consumption of shallow groundwater. In the present research, shallow groundwater quality in the agricultural areas of Poyang Lake basin was assessed according to world and national standards for drinking water quality. To evaluate non-cancer health risk from drinking groundwater, the hazard quotient from exposure to individual chemicals and hazard index from exposure to multiple chemicals were applied. It was found that, in shallow groundwater, the concentrations of 11 components (NO

Indexed as

AgricultureChinaDrinking WaterEnvironmental MonitoringGroundwaterHumansLakesRisk AssessmentRiversWater Pollutants, ChemicalWater QualityDrinking WaterWater Pollutants, ChemicalAgrolandscapesDrinking waterHealth risk assessmentNon-cancer effectsSoutheastern ChinaWater pollution

Identifiers

PMID29574657
OpenAlexW2790973029

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.