Evidence map›Paper›PMID 39771115›Full record

ArticleToxics2024

Identification and Assessment of Toxic Substances in Environmental Justice Cases.

Xiaowei Xu, Dapeng Zhang, Jun Zhang, Zehua Zhao, Jing Hua, Yi Wang, Houhu Zhang, Qi Yu

Abstract read
In one paragraph

Article in Toxics, 2024. 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
–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

1 citing paper in PubMed.

  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

8 authors.

Xiaowei XuNanjing Institute of Environmental Science, Ministry of Ecology and Environment of China, Nanjing 210042, China.ORCID 0000-0002-5881-8089
Dapeng ZhangNanjing Institute of Environmental Science, Ministry of Ecology and Environment of China, Nanjing 210042, China.
Jun ZhangNanjing Institute of Environmental Science, Ministry of Ecology and Environment of China, Nanjing 210042, China.
Zehua ZhaoNanjing Institute of Environmental Science, Ministry of Ecology and Environment of China, Nanjing 210042, China.ORCID 0000-0002-6661-9274
Jing HuaNanjing Institute of Environmental Science, Ministry of Ecology and Environment of China, Nanjing 210042, China.
Yi WangNanjing Institute of Environmental Science, Ministry of Ecology and Environment of China, Nanjing 210042, China.
Houhu ZhangNanjing Institute of Environmental Science, Ministry of Ecology and Environment of China, Nanjing 210042, China.
Qi YuDepartment of Environmental Science, School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study assessed heavy metal contamination in industrial solid waste (S1, S2, S3, and S4) from the Yangtze River Delta region, employing nine risk assessment methods including total content indices (e.g., Igeo, CF) and speciation indices (e.g., ICF, GCF). Four types of industrial solid waste not classified as hazardous but containing heavy metals were analyzed. Key findings revealed significant variability in risk assessments based on chemical speciation versus total content. For example, while S1, S3, and S4 exceeded background levels, S4 showed higher mobility of Pb, Cr (VI), Cu, Ni, and As despite lower overall content. Elements like Cd and Cr (VI) exhibited discrepancies between total content and speciation-based assessments due to low background values and high toxicity. Multi-element indices (DC, RI) indicated higher pollution degrees compared to speciation indices (GCF, GRI). These results underscore the need for integrating multiple assessment methods to accurately evaluate environmental risks in judicial practices.

Indexed as

environmental judicial casesheavy metalsrisk assessmentsolid wastetoxic substances

Identifiers

PMID39771115
PMCPMC11728514

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.