Evidence map›Paper›PMID 38811934›Full record

ArticleBMC public health2024

Survival and disease burden analyses of occupational pneumoconiosis during 1958-2021 in Huangshi city, China: a retrospective cohort study.

Hai-Lian Chen, Chun-Hu Li, Pei-Yao Zhai, Xun Zhuang, Yu-Long Lian, Xue Qiao, Jian Feng, Zu-Shu Qian, Gang Qin

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Single versus double lung transplantation in patients with pneumoconiosis: a retrospective cohort study.Journal of occupational medicine and toxicology (London, England) · 2026
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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

9 authors.

Hai-Lian Chen *Joint Division of Clinical Epidemiology, Affiliated Hospital of Nantong University, School of Public Health of Nantong University, Nantong, Jiangsu, China.
Chun-Hu Li *Joint Division of Clinical Epidemiology, Affiliated Hospital of Nantong University, School of Public Health of Nantong University, Nantong, Jiangsu, China.
Pei-Yao Zhai *Department of Infectious Diseases, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu, China.
Xun ZhuangDepartment of Epidemiology and Biostatistics, School of Public Health of Nantong University, Nantong, Jiangsu, China.
Yu-Long LianDepartment of Epidemiology and Biostatistics, School of Public Health of Nantong University, Nantong, Jiangsu, China.
Xue QiaoHuangshi Center for Disease Control and Prevention, Huangshi, Hubei, China.
Jian FengNational Key Clinical Construction Specialty-Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China. Jfeng68@126.com.
Zu-Shu QianHuangshi Center for Disease Control and Prevention, Huangshi, Hubei, China. 363530285@qq.com.
Gang QinJoint Division of Clinical Epidemiology, Affiliated Hospital of Nantong University, School of Public Health of Nantong University, Nantong, Jiangsu, China. tonygqin@ntu.edu.cn.

Funding

Jiangsu Provincial Research Hospital YJXYY202204-YSA03Ministry of Science and Technology of the People's Republic of China 2022YFC2304901National Natural Science Foundation of China 81370520Science and Technology Support Program of Jiangsu Province BE2015655
6 · The paper itself

Abstract

backgroundPneumoconiosis, a chronic disease stemming from prolonged inhalation of dust particles, stands as a significant global burden of occupational diseases. This study aims to investigate the survival outcomes of pneumoconiosis patients in Huangshi city, China, while also evaluating the disease burden on afflicted patients.

methodsData for this study were sourced from the Huangshi Center for Disease Control and Prevention. Survival analyses of pneumoconiosis patients were conducted employing life tables and the Kaplan-Meier method. The Cox proportional hazards models were deployed to identify factors influencing pneumoconiosis patients' survival duration. Competing risks models were employed to confirm the validity of the model outcomes. Additionally, in the disease burden assessment, disability-adjusted life years (DALYs) were computed for various demographic groups and time frames.

resultsA total of 5,641 pneumoconiosis cases, diagnosed in Huangshi City, Hubei Province between 1958 and 2021, were incorporated into the cohort analysis. The probability of mortality and the risk ratio increased with advancing age. Notably, the median survival time of stage III pneumoconiosis patients was significantly shorter compared with those in stages I and II. The Cox proportional hazards model and competing risks analyses underscored several significant factors influencing survival time, including dust exposure duration (HR = 1.197, 95% CI: 1.104-1.298), age at first diagnosis (HR = 3.149, 95% CI: 2.961-3.349), presence of silicosis (HR = 1.378, 95% CI: 1.254-1.515), and stage II-III pneumoconiosis (HR = 1.456, 95% CI: 1.148-1.848). Cumulatively, DALYs amounted to 7,974.35 person-years, with an average of 1.41 person-years. The period between 2000 and 2019 witnessed the highest disease burden.

conclusionOur findings highlight the urgent need for improved prevention, earlier detection, and more effective management strategies for the occupational pneumoconiosis population. This study not only underscores the persistent issue of pneumoconiosis in industrial environments but also serves as a crucial call to action for policymakers and healthcare providers.

Indexed as

Occupational DiseasesPneumoconiosisAdultAgedChinaCost of IllnessDisability-Adjusted Life YearsFemaleHumansMaleMiddle AgedOccupational ExposureProportional Hazards ModelsRetrospective StudiesSurvival AnalysisCompeting risks modelDisability-adjusted life yearsPneumoconiosisSurvival analysis

Identifiers

PMID38811934
PMCPMC11137949

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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.