Evidence map›Paper›PMID 41023560›Full record

ArticleBiological trace element research2026

Probabilistic Human Risk Assessment of Potentially Toxic Elements in Planiliza klunzingeri and Sillago sihama Fish in Persian Gulf.

Yadolah Fakhri, Farshid Soleimani, Batool Kazemi, Ali Zare, Parisa Sharafi, Fereshteh Mehri

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Article in Biological trace element research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Yadolah FakhriFood Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran. ya.fakhri@gmail.com.
Farshid SoleimaniTobacco and Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Batool KazemiFood Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Ali ZareFood Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Parisa SharafiFood Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Fereshteh MehriNutrition Health Research Center, Institute of Health Sciences and Technologies, Avicenna Health Research Institute, Hamadan University of Medical Sciences, Hamadan, Iran.

Funding

National Institute for Medical Research Development 4021631
6 · The paper itself

Abstract

Fish consumption is a vital source of nutrition worldwide, but contamination with potentially toxic elements (PTEs) poses significant health risks. This study aimed to assess the concentrations of PTEs (As, Cd, Cu, Co, Ni, Pb, Cr) in two commercially important fish species Planiliza klunzingeri (Day, 1888) and Sillago sihama (Fabricius, 1775) from the Persian Gulf and evaluate their potential health risks to consumers using a probabilistic approach. A total of 60 fish samples (30 per species) were collected between January and February 2025 from the Bandar Abbas fish market. Muscle tissues were analyzed for PTEs content using inductively coupled plasma atomic emission spectroscopy (ICP-AES). Health risks were assessed using a Monte Carlo simulation (MCS) model, which estimated chronic daily intake (CDI), target hazard quotient (THQ), hazard index (HI), and incremental lifetime cancer risk (ILCR) for both adults and children. Lead (Pb) and nickel (Ni) were the most abundant metals in both species. Sillago sihama exhibited higher inorganic arsenic (iAs) levels (51.027 µg/kg-ww) compared to P. klunzingeri (38.212 µg/kg-ww), while the latter had elevated Cd, Cu, Co, Pb, and Cr concentrations. Probabilistic risk assessment indicated negligible non-carcinogenic risks (THQ and HI < 1). However, iAs contributed to a low carcinogenic risk, with 95th percentile ILCR values remaining within acceptable limits (< 1 × 10

Indexed as

FishesFood ContaminationMetals, HeavyWater Pollutants, ChemicalAnimalsHumansIndian OceanMonte Carlo MethodRisk AssessmentMetals, HeavyWater Pollutants, ChemicalHeavy metalsMarine foodsMonte Carlo simulationPersian GulfRisk assessment

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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.