Evidence map›Paper›PMID 36287888›Full record

ArticleToxics2022

Contamination and Health Risk Assessment of Heavy Metals in Soil and Ditch Sediments in Long-Term Mine Wastes Area.

Bo Li, Jiangdi Deng, Zuran Li, Jianjun Chen, Fangdong Zhan, Yongmei He, Lu He, Yuan Li

Abstract read
In one paragraph

Article in Toxics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Bo LiCollege of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China.
Jiangdi DengFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.ORCID 0000-0002-5514-7793
Zuran LiCollege of Horticulture and Landscape, Yunnan Agriculture University, Kunming 650201, China.
Jianjun ChenCollege of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China.
Fangdong ZhanCollege of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China.ORCID 0000-0003-4188-8918
Yongmei HeCollege of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China.ORCID 0000-0001-8072-7514
Lu HeCollege of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China.
Yuan LiCollege of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China.

Funding

China Geological Survey DD20208075Yunnan Province Science and Technology Department 202101BD070001-047
6 · The paper itself

Abstract

The ecological and health risks posed by wastes discharged from mining areas to the environment and human health has aroused concern. 114 soil samples were collected from nine areas of long-term mine waste land in northwestern Yunnan to assess the pollution characteristics, ecological and health risks of heavy metals. The result revealed that the geo-accumulation indexes were Cd (4.00) > Pb (3.18) > Zn (1.87) > Cu (0.25). Semi-variance analysis revealed that Cd and Cu showed moderate spatial dependency, whereas Pb and Zn showed strong spatial dependency. Cd posed an extreme potential ecological risk. Slopes and ditches were extreme potential ecological risk areas. Non-carcinogenic risk to children from Pb and Carcinogenic risk to adult and children from Cd was non-negligible and direct ingestion was the major source. This study provided a scientific basis for policymakers in management and exposure reduction.

Indexed as

ditchesecological riskshealth risksheavy metalsmining wastelandsediments

Identifiers

PMID36287888
PMCPMC9610562

What OpenQuestion holds

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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.