Evidence map›Paper›PMID 41593264›Full record

ArticleScientific reports2026

Skin lesions associated with chronic exposure to arsenic in drinking water in rural Western Iran.

Alireza Rahmani, Samira Khamutian, Fateme Samiee, Shokofeh Nourian, Mobina Khezrian, Samaneh Safari, Amin Doosti-Irani, Seyyed Bahman Aleseyyed, Omid Saatchi, Lida Rafati

Abstract read
In one paragraph

Article in Scientific reports, 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

10 authors.

Alireza RahmaniDepartment of Environmental Health Engineering, School of Public Health, Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID http://orcid.org/0000-0001-8067-3405
Samira KhamutianSocial Development and Health Promotion Research Center, Health Policy and Promotion Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran. samira.khamutian@kums.ac.ir.ORCID http://orcid.org/0000-0001-7072-0124
Fateme SamieeSocial Determinants of Health Research Center, Institute of Health Sciences and Technology, Hamadan University of Medical Sciences, Hamadan, Iran. f.samiee@umsha.ac.ir.ORCID http://orcid.org/0000-0002-6516-1978
Shokofeh NourianDepartment of Public Health, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID http://orcid.org/0000-0002-4130-0443
Mobina KhezrianStudent Research Committee, Occupational Health and Safety Research Center, Avicenna Health Research Institute, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID http://orcid.org/0009-0002-2207-2075
Samaneh SafariNeurophysiology Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID http://orcid.org/0009-0006-9758-0727
Amin Doosti-IraniDepartment of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID http://orcid.org/0000-0003-0623-7503
Seyyed Bahman AleseyyedWestern Water and Wastewater Reference Laboratory, Vice-Chancellor for Health, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID http://orcid.org/0000-0003-2140-9983
Omid SaatchiDepartment of Disease Prevention and Control, Deputy of Health, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID http://orcid.org/0000-0002-4391-078X
Lida RafatiEnvironment and Work Health Management, Vice-Chancellor for Health, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID http://orcid.org/0000-0001-6395-1282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic exposure to arsenic through drinking water is a major public health concern and is associated with a wide range of adverse health effects, including dermatological lesions, cardiovascular disorders, and increased cancer risk. In this cross-sectional study, the prevalence of arsenic-related skin problems, i.e., hyperpigmentation and keratosis, in relation to arsenic level in drinking water in rural regions in northwest Hamadan Province, Iran, was investigated. Arsenic levels in drinking water during 2022–2023 were obtained from the Hamadan University of Medical Sciences Health Department. Three villages with arsenic levels above 50 µg/L in Kabudarahang County were selected as exposure sites, and two villages with low arsenic levels (< 2 µg/L) were selected as controls. 189 individuals from the exposed village residents and 223 from control village residents were interviewed with medical screenings. Demographic and health-related variables, including age, BMI, blood pressure, and skin lesion history, were recorded. Skin symptoms were significantly more prevalent among the exposure group: keratosis (adjusted OR = 10.18, 95% CI: 1.28–80.75, p = 0.028), hyperpigmentation (adjusted OR  3.94, 95% CI 1.05–14.67, p = 0.041), and other cutaneous complications (adjusted OR 5.05, 95% CI 1.66–15.33, p = 0.004). Age was a risk factor per se with each additional year having a 2–4% increased risk of skin lesions. Systolic blood pressure differed between groups (p < 0.001), suggesting possible interactions with cutaneous manifestations. Arsenic in drinking water at high levels has strong association with elevated prevalence of skin lesions, and therefore a requirement for systematic waters monitoring and mitigation processes.

Indexed as

ArsenicDrinking WaterEnvironmental ExposureHyperpigmentationKeratosisSkin DiseasesWater Pollutants, ChemicalAdultAgedCross-Sectional StudiesFemaleHumansIranMaleMiddle AgedPrevalenceArsenicDrinking WaterWater Pollutants, ChemicalArsenicDrinking waterHamadanKeratosisPigmentationSkin manifestations

Identifiers

PMID41593264
PMCPMC12909963

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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.