Evidence map›Paper›PMID 41193574›Full record

ArticleScientific reports2025

Probabilistic dermal risk assessment for shallow groundwater users in agricultural settings of Saudi Arabia.

Husnain Haider, Md Shafiquzzaman, Mohammad T Alresheedi, Abdul Razzaq Ghumman, Abdullah Alodah, Muhammad Junaid

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

6 authors.

Husnain HaiderDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, 51452, Saudi Arabia. h.chaudhry@qu.edu.sa.
Md ShafiquzzamanDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, 51452, Saudi Arabia.
Mohammad T AlresheediDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, 51452, Saudi Arabia.
Abdul Razzaq GhummanDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, 51452, Saudi Arabia.
Abdullah AlodahDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, 51452, Saudi Arabia.
Muhammad JunaidDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, 51452, Saudi Arabia.

Funding

Deanship of Scientific Research at Qassim University 2023-SDG-1-BSRC36085
6 · The paper itself

Abstract

Elevated salinity in unconfined aquifers limits residents' use of groundwater for drinking in agricultural settings in KSA. The study developed a probabilistic dermal risk assessment methodology for heavy metals exposure through washing and bathing activities in farms across the Qassim Region, which addressed the uncertainties associated with limited data and vagueness in site-specific exposure factors, such as skin surface area and body weight. Groundwater monitoring established the probabilities of Ba, Cd, Cr, Mn, and Zn levels exceeding the maximum allowable concentrations (MAC) as 0.03 mg/L, 0.003 mg/L, 0.15 mg/L, 0.01 mg/L, and 0.01 mg/L, respectively. A hazard index with a 0.99 probability of less than 1 indicates an insignificant non-cancer risk associated with dermal exposure. The study found an incremental lifetime cancer risk (ILCR) of 6E-5 for Cd and 8E-5 for Cr at median probability, less than the acceptable cancer risk of 1.0E-4. ILCR values of 3.2E-4 for Cd and 2.2E-04 for Cr at 0.9 probability remained lower than the corresponding values of 9E-4 (Cd) and 3.1E-4 (Cr) estimated for the MAC values recommended for KSA. Monte Carlo simulations highlighted Zn (59.5%), Cr (18.1%), and exposure time (10.5%) as the primary contributors to variations in non-cancer health risks to infants. Cd (60.1%) and Cr (46.2%) concentrations, along with exposure time (12.6% for Cd and 25.8% for Cr), were identified as key contributors to ILCR variations. The estimated heavy metal pollution indices at 0.95 probability indicate non-contaminated groundwater. The study offers insights into the health risks and guidelines for treating raw water at the household level, promoting agricultural sustainability in Saudi Arabia and elsewhere.

Indexed as

Environmental ExposureGroundwaterMetals, HeavySkinWater Pollutants, ChemicalAdultAgricultureEnvironmental MonitoringFemaleHumansMaleProbabilityRisk AssessmentSaudi ArabiaMetals, HeavyWater Pollutants, ChemicalAgricultural sustainabilityDermal exposureGroundwaterHeavy metalsHuman health risk modelingMonte carlo simulations

Identifiers

PMID41193574
PMCPMC12589623

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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.