Evidence map›Paper›PMID 42347395›Full record

ReviewToxics2026

Spatiotemporal Dynamics and Human Health Risk Assessment of Potentially Toxic Elements in Global Urban Soils: A Systematic Meta-Analysis.

Jiaxuan Cui, Jilong Lu, Yawen Lai, Qiaoqiao Wei, Xinyun Zhao

Abstract readReview
In one paragraph

Review in Toxics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jiaxuan CuiCollege of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China.ORCID 0009-0006-9149-6938
Jilong LuCollege of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China.ORCID 0000-0002-7015-9928
Yawen LaiCollege of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China.
Qiaoqiao WeiCollege of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China.
Xinyun ZhaoCollege of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China.ORCID 0000-0002-6558-8357

Funding

State Key Research and Development Program 2023YFC2907105Technological Support Project for the New Round of Strategic Action for Ore Prospecting Breakthroughs ZKKJ202419
6 · The paper itself

Abstract

Urban soil contamination by potentially toxic elements (PTEs) is a recognized health concern in densely populated urban environments. Through a systematic meta-analysis of 91 peer-reviewed studies (2000-2025) reporting 12,174 sampling sites in capital and core cities, we characterized regional patterns in the spatiotemporal dynamics and health risks of eight PTEs across two well-represented continental subsets (Asia, k = 18-36 per element; Europe, k = 11-23 per element) with comparative reference to the Americas, Africa, and Oceania. Given the uneven geographic distribution of qualifying primary studies, continental comparisons should be interpreted as hypothesis-generating: Asia (k = 18-36 per element) and Europe (k = 11-23 per element) provide the statistically robust core of the synthesis, while results for the Americas (k = 3-7 for several elements), Africa (k = 4-15), and Oceania (k = 2) are presented as illustrative rather than statistically representative. Pooled concentrations followed Zn (138.59) > Pb (56.97) > Cr (54.26) > Cu (47.00) > Ni (31.94) > As (8.56) > Hg (3.13) > Cd (1.23) mg·kg

Indexed as

geo-accumulation indexNemerow integrated indexpediatric exposurepotentially toxic elements (PTEs)risk-based soil managementurban functional zones

Identifiers

PMID42347395
PMCPMC13307911

What OpenQuestion holds

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LicenceCC BY
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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.