Evidence map›Paper›PMID 41730311›Full record

ArticleJournal of applied toxicology : JAT2026

Multipathway Assessment of Heavy Metal Exposure in Urban Dust: Linking Ecological and Human Health Risks.

Muzhda Q Qader, Oluwatoyin Seun Ayanlade, PhilIip Olalekan Ayoola, Kaiwan K Fatah, Isaac A Oluwatimilehin, Ayansina Ayanlade

Abstract read
In one paragraph

Article in Journal of applied toxicology : JAT, 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

6 authors.

Muzhda Q QaderDepartment of Public Health, Hawler Medical University, Erbil, Iraq.ORCID 0000-0002-3561-7137
Oluwatoyin Seun AyanladeAfrican Institute for Science Policy and Innovation, Obafemi Awolowo University, Ile-Ife, Nigeria.
PhilIip Olalekan AyoolaAfrican Institute for Science Policy and Innovation, Obafemi Awolowo University, Ile-Ife, Nigeria.
Kaiwan K FatahDepartment of Earth and Petroleum-College of Science, Salahaddin University-Erbil, Erbil, Iraq.
Isaac A OluwatimilehinDepartment of Geography, Obafemi Awolowo University, Ile-Ife, Nigeria.ORCID 0000-0002-1774-5717
Ayansina AyanladeDepartment of Geography, Obafemi Awolowo University, Ile-Ife, Nigeria.ORCID 0000-0001-5419-5980

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heavy metal contamination in settled urban dust was investigated across industrial, traffic, and residential areas of Erbil City, Kurdistan Region, Iraq. Twenty-five composite dust samples were analyzed for Pb, Cd, Cr, Ni, As, Cu, and Zn using ICP-OES. Industrial areas exhibited the highest metal concentrations, particularly Pb and Cd, followed by traffic and residential zones. Health risk assessment revealed that ingestion was the dominant exposure pathway (> 95%), and children experienced approximately 2.5-fold higher total chronic daily intake (CDI_total) than adults. Noncarcinogenic risk analysis indicated that chromium was the dominant contributor to the hazard quotient (HQ), followed by arsenic and lead, with the highest cumulative hazard index observed for children in industrial areas (HI = 0.670). Carcinogenic risk assessment showed that the incremental lifetime cancer risk (ILCR) for children exceeded the acceptable threshold (1 × 10

Indexed as

Air PollutantsDustEnvironmental ExposureMetals, HeavyAdultChildCitiesEnvironmental MonitoringHumansIraqNeoplasmsRisk AssessmentAir PollutantsDustMetals, Heavycarcinogenic risksdust pollutionenvironmental risk assessmenthuman health impacttoxic metals

Identifiers

PMID41730311
PMCPMC13432730

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.