ReviewFrontiers in public health2024
A comprehensive retrospect on the current perspectives and future prospects of pneumoconiosis.
Review in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Global research landscape versus disease burden in pneumoconiosis diagnosis: a dual-source bibliometric analysis [1999-2025].Journal of thoracic disease · 2026Article
- Mechanisms of Action of Herbal Preparations for the Rehabilitation of Dust-Related Diseases of the Bronchopulmonary System.Biomedicines · 2026Review
- Construction of an Anion/Nonionic Complex System to Synergistically Promote the Performance of Dust Suppression.ACS omega · 2026Article
- Artificial Intelligence in Occupational Health Surveillance: Evaluating AI-Assisted ILO Classification of Radiographs of Pneumoconioses.La Medicina del lavoro · 2026Article
- Serum KL-6 combined with immune/inflammatory biomarkers identifies complicated silicosis.BMC pulmonary medicine · 2026Article
- Decision self-efficacy and its determinants among Chinese adults with pneumoconiosis: a cross-sectional study.Frontiers in public health · 2026Article
- Psychosocial distress and associated factors among pneumoconiosis patients: a cross-sectional study.Frontiers in public health · 2026Article
- Knowledge-attitude-practice of pneumoconiosis prevention and control among Chinese university students: a cross-sectional study.Frontiers in public health · 2026Article
- Plasma proteomics reveals the molecular features in rapidly progressive pneumoconiosis.Frontiers in immunology · 2026Article
- Comparison of the efficacy of spiral CT combined with advanced multiplanar reconstruction in detecting the progression of pneumoconiosis.Frontiers in medicine · 2026Article
- Association between pneumoconiosis and cataract risk: a nationwide retrospective cohort study in Taiwan.BMJ open · 2025Article
- An Integrated Strategy for Preventing and Rehabilitating Dust-Induced Occupational Bronchopulmonary Diseases: A Scoping Review.Advances in respiratory medicine · 2025Article
- The Impact of Uranium-Induced Pulmonary Fibrosis on Gut Microbiota and Related Metabolites in Rats.Metabolites · 2025Article
- Development of a machine learning-based risk prediction model for early-stage pneumoconiosis: a retrospective study.Frontiers in medicine · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pneumoconiosis is a widespread occupational pulmonary disease caused by inhalation and retention of dust particles in the lungs, is characterized by chronic pulmonary inflammation and progressive fibrosis, potentially leading to respiratory and/or heart failure. Workers exposed to dust, such as coal miners, foundry workers, and construction workers, are at risk of pneumoconiosis. This review synthesizes the international and national classifications, epidemiological characteristics, strategies for prevention, clinical manifestations, diagnosis, pathogenesis, and treatment of pneumoconiosis. Current research on the pathogenesis of pneumoconiosis focuses on the influence of autophagy, apoptosis, and pyroptosis on the progression of the disease. In addition, factors such as lipopolysaccharide and nicotine have been found to play crucial roles in the development of pneumoconiosis. This review provides a comprehensive summary of the most fundamental achievements in the treatment of pneumoconiosis with the purpose of indicating the future direction of its treatment and control. New technologies of integrative omics, artificial intelligence, systemic administration of mesenchymal stromal cells have proved useful in solving the conundrum of pneumoconiosis. These directional studies will provide novel therapeutic targets for the treatment of pneumoconiosis.
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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.