Evidence map›Paper›PMID 41426666›Full record

ArticleFrontiers in public health2025

Pilot study on benzene exposure risks in healthcare workers: a combined socio-demographic and computational toxicology approach.

Yuan Zhang, Waqar-Un Nisa, Audil Rashid, Aansa Rukya Saleem, Luqman Riaz, Saima Kalsoom, Abubakr M Idris, Guo Yu, Habib Ullah

Abstract read
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Article in Frontiers in public health, 2025. 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

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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

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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

Who cites it

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

9 authors.

Yuan Zhang *University Engineering Research Center of Watershed Protection and Green Development, Guangxi, Guilin University of Technology, Guilin, China.
Waqar-Un Nisa *Center for Interdisciplinary Research in Basic Sciences (SA-CIRBS), International Islamic University, Islamabad, Pakistan.
Audil RashidDepartment of Botany, University of Gujrat, Gujrat, Pakistan.
Aansa Rukya SaleemDepartment of Earth and Environmental Sciences, Bahria University, Islambad, Pakistan.
Luqman RiazDepartment of Environmental Sciences, Kohsar University Murree, Muree, Pakistan.
Saima KalsoomDepartment of Chemistry, PMAS-Arid Agriculture University, Rawalpindi, Pakistan.
Abubakr M IdrisDepartment of Chemistry, College of Science, King Khalid University, Abha, Saudi Arabia.
Guo YuUniversity Engineering Research Center of Watershed Protection and Green Development, Guangxi, Guilin University of Technology, Guilin, China.
Habib UllahInnovation Ceneter of Yangtze River Delta, Zhejiang University, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Healthcare professions involve frequent exposure to harmful chemicals such as benzene, particularly in environments with suboptimal hygiene, posing significant occupational health risks. This pilot study aimed to assess benzene exposure among healthcare workers in Rawalpindi, Pakistan. Methods: Blood samples were collected from 51 healthcare workers, including laboratory technologists, paramedics, nurses, and housekeeping staff, at six major hospitals. Benzene concentrations were analyzed using high-performance liquid chromatography (HPLC). Socio-demographic data were obtained via questionnaires. Molecular docking was performed to explore benzene's neurotoxic potential. Results: The mean benzene concentration in blood was 0.79 ppm. Healthcare worker category, body mass index (BMI), and job duration significantly predicted benzene levels. Prolonged work hours correlated strongly with benzene body burden ( Discussion: These preliminary findings highlight the occupational hazards benzene poses to healthcare workers and suggest the need for improved workplace safety and biomonitoring. The study briefly discusses gender and socio-labor factors, emphasizing institutional responsibilities to ensure safe working conditions. Larger-scale studies are warranted to validate these pilot observations.

Indexed as

BenzeneHealth PersonnelOccupational ExposureAdultChromatography, High Pressure LiquidFemaleHumansMaleMiddle AgedMolecular Docking SimulationPakistanPilot ProjectsSurveys and QuestionnairesBenzenebenzenehealth care workersmolecular dockingRawalpindirisk assesment

Identifiers

PMID41426666
PMCPMC12711491

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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.