Evidence map›Paper›PMID 42515184›Full record

ArticleToxics2026

Contamination, Source Apportionment and Probabilistic Health Risk of Potentially Toxic Elements in Surface Sediments of the Anning River Basin.

Wenkai Wang, Pengfei Che, Jinjin Wang, Yue Rao, Jian Luo, Jianbin Chen, Junxi Wang, Yanchang Kun

Abstract read
In one paragraph

Article 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

8 authors.

Wenkai WangSchool of Environment and Resource, Xichang University, Xichang 615013, China.
Pengfei CheSchool of Environment and Resource, Xichang University, Xichang 615013, China.
Jinjin WangSchool of Environment and Resource, Xichang University, Xichang 615013, China.ORCID 0000-0002-5360-0785
Yue RaoSchool of Environment and Resource, Xichang University, Xichang 615013, China.
Jian LuoSchool of Environment and Resource, Xichang University, Xichang 615013, China.
Jianbin ChenSchool of Environment and Resource, Xichang University, Xichang 615013, China.
Junxi WangSchool of Environment and Resource, Xichang University, Xichang 615013, China.
Yanchang KunSchool of Information Technology, Xichang University, Xichang 615013, China.

Funding

Liangshan Science and Technology Program Project 25KJFZ0018, 23ZDYF0114, 23ZDYF0143Open Fund of the Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution, Ministry of Ecology and Environment GHBK-2021-002Xichang University Science and Technology Plan Project YBZ202121, YBZ202136
6 · The paper itself

Abstract

The Anning River, traversing the mineral-rich Panxi region, is highly susceptible to contamination by potentially toxic elements (PTEs). This study systematically investigated the contamination profiles, source apportionment, and probabilistic human health risks of eight PTEs in the surface sediments of the basin. Index-based evaluations revealed that Cd acts as the dominant ecological threat, exhibiting extreme enrichment, whereas V, Cr, and Ni reflect natural background signatures. Receptor modeling via Positive Matrix Factorization (PMF) successfully decoupled four distinct sources: mining and smelting emissions (Cd, Zn), natural lithogenic weathering (V, Cr, Ni), mixed traffic/urban inputs (Pb, Cu), and a Tl-specific mixed source. Crucially, while deterministic approaches suggested safe exposure levels, probabilistic Monte Carlo simulations uncovered hidden vulnerabilities: children face a striking 60.51% probability of exceeding the acceptable total carcinogenic risk (TCR) threshold of 1.0 × 10

Indexed as

health risk assessmentMCSPMFPTEssource apportionment

Identifiers

PMID42515184
PMCPMC13417149

What OpenQuestion holds

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Registered trials

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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.