Evidence map›Paper›PMID 40376052›Full record

ArticleFrontiers in public health2025

Early diagnosis and survival outcomes in silicosis: a retrospective cohort study of 11,809 patients in Guangdong Province, China (1956-2020).

Chunyue Fan, Yuhao Wang, Jingjing Chen, Qiaoli Wei, Shijie Hu, Lihua Xia, Jiawen Huang, Weihui Liang, Lin Wu, Xudong Li

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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. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Chunyue Fan *Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Yuhao Wang *Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Jingjing Chen *Big Data and Artificial Intelligence Center, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Qiaoli WeiSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Shijie HuGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Lihua XiaGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Jiawen HuangGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Weihui LiangGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Lin WuDepartment of Cardiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xudong LiGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Silicosis, a progressive occupational lung disease caused by silica dust exposure, remains a global public health challenge due to limited therapeutic options. Early diagnosis is hypothesized to improve survival outcomes, yet evidence linking diagnostic stage to mortality remains scarce. This study aimed to evaluate the association between early diagnosis and survival in silicosis patients and assess the impact of delayed diagnosis on mortality. Methods: A retrospective cohort study analyzed 11,809 silicosis patients diagnosed between 1956 and 2020 in Guangdong Province, China. Data were extracted from occupational disease registries, multi-sectoral databases, and provincial monitoring systems. Exclusion criteria included ambiguous diagnosis dates, pre-adolescent exposure, and missing variables. Cox proportional hazards models adjusted for covariates (sex, age, region, industry, exposure duration) were used to assess mortality risks across stages I-III. Survival curves, temporal trends, and subgroup analyses were performed. Results: Most patients (77.8%) were diagnosed at stage I, with median survival times declining sharply across stages: 27 years (stage I), 20 years (stage II), and 11 years (stage III) ( Discussion: This study demonstrates that early diagnosis significantly prolongs survival in silicosis patients, with advanced stages correlating with exponentially higher mortality. The findings underscore the urgent need for systematic early screening, such as high-resolution CT, and stricter occupational health policies to reduce silica exposure. Despite limitations, including unmeasured confounders like smoking status, this research provides critical evidence to inform global strategies for mitigating silicosis through timely detection and workplace safety reforms.

Indexed as

Early DiagnosisSilicosisAdultAgedChinaFemaleHumansMaleMiddle AgedOccupational ExposureRetrospective Studiesearly diagnosisGuangdong Provinceoccupational exposureretrospective cohort studysilicosissurvival outcomes

Identifiers

PMID40376052
PMCPMC12079053

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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.