Evidence map›Paper›PMID 28891954›Full record

ArticleInternational journal of environmental research and public health2017

Assessment of Heavy Metal Pollution and Health Risks in the Soil-Plant-Human System in the Yangtze River Delta, China.

Bifeng Hu, Xiaolin Jia, Jie Hu, Dongyun Xu, Fang Xia, Yan Li

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 1 pooled it
12.9field-weighted citation impact, top 1% 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

89 citing papers in PubMed, 1 synthesis or guideline pooled it, 441 citations in OpenAlex.

  1. Pooled it
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  18. Biotech (Basel (Switzerland)) · 2025
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29 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Bifeng HuInstitute of Agricultural Remote Sensing and Information Technology Application, Zhejiang University, Hangzhou 310029, China. hubifeng@zju.edu.cn.
Xiaolin JiaInstitute of Agricultural Remote Sensing and Information Technology Application, Zhejiang University, Hangzhou 310029, China. 21514120@zju.edu.cn.
Jie HuInstitute of Agricultural Remote Sensing and Information Technology Application, Zhejiang University, Hangzhou 310029, China. jiehu@zju.edu.cn.
Dongyun XuInstitute of Agricultural Remote Sensing and Information Technology Application, Zhejiang University, Hangzhou 310029, China. xdy900815@126.com.
Fang XiaInstitute of Agricultural Remote Sensing and Information Technology Application, Zhejiang University, Hangzhou 310029, China. maggie_xia@263.net.
Yan LiInstitute of Land Science and Property, School of Public Affairs, Zhejiang University, Hangzhou 310058, China. liyan522@zju.edu.cn.
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heavy metal (HM) contamination and accumulation is a serious problem around the world due to the toxicity, abundant sources, non-biodegradable properties, and accumulative behaviour of HMs. The degree of soil HM contamination in China, especially in the Yangtze River Delta, is prominent. In this study, 1822 pairs of soil and crop samples at corresponding locations were collected from the southern Yangtze River Delta of China, and the contents of Ni, Cr, Zn, Cd, As, Cu, Hg, and Pb were measured. The single pollution index in soil (SPI) and Nemerow composite pollution index (NCPI) were used to assess the degree of HM pollution in soil, and the crop pollution index (CPI) was used to explore the degree of HM accumulation in crops. The bioaccumulation factor (BAF) was used to investigate the translocation of heavy metals in the soil-crop system. The health risks caused by HMs were calculated based on the model released by the U.S. Environmental Protection Agency. The SPIs of all elements were at the unpolluted level. The mean NCPI was at the alert level. The mean CPIs were in the following decreasing order: Ni (1.007) > Cr (0.483) > Zn (0.335) > Cd (0.314) > As (0.232) > Cu (0.187) > Hg (0.118) > Pb (0.105). Only the mean content of Ni in the crops exceeded the national standard value. The standard exceeding rates were used to represent the percentage of samples whose heavy metal content is higher than the corresponding national standard values. The standard exceeding rates of Cu, Hg, and Cd in soil were significantly higher than corresponding values in crops. Meanwhile, the standard exceeding rates of Ni, As, and Cr in crops were significantly higher than corresponding values in soil. The chronic daily intake (CDI) of children (13.8 × 10

Indexed as

AdultChildChinaCrops, AgriculturalEnvironmental PollutionHumansMetals, HeavyRisk AssessmentRisk FactorsRiversSoilSoil PollutantsMetals, HeavySoilSoil Pollutantsbioaccumulation factorscarcinogens riskhazard quotientshealth risk assessmentheavy metalssoil-plant-human systems

Identifiers

PMID28891954
PMCPMC5615579
OpenAlexW2753449839

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.