Evidence map›Paper›PMID 41132176›Full record

ArticleFrontiers in public health2025

Survival analysis of pneumoconiosis patients in Jiangsu Province from 1960 to 2024.

Ning Wang, Xinlei Chu, Lang Zhou, Yuan Zhao, Qianqian Gao, Yue Gao, Peng Zhou, Lei Han

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Ning Wang *School of Public Health, Nanjing Medical University, Nanjing, China.
Xinlei Chu *School of Public Health, Nanjing Medical University, Nanjing, China.
Lang Zhou *Institute of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yuan ZhaoInstitute of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Qianqian GaoInstitute of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yue GaoInstitute of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Peng ZhouInstitute of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Lei HanSchool of Public Health, Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Pneumoconiosis is recognized as a major occupational health burden worldwide, especially in developing countries where industrial dust exposure is prevalent. This study aims to provide evidence for the development of prevention and control strategies and the strengthening of patient support systems. Methods: Data for this study were sourced from the Jiangsu Province Pneumoconiosis Follow-up Online Reporting System. Survival analysis was performed employing life tables and the Kaplan-Meier method. The Cox proportional hazards regression models were deployed to identify factors influencing pneumoconiosis patients' survival time. Results: A total of 18,064 patients were diagnosed with pneumoconiosis in Jiangsu Province between 1960 and 2024. Life table analysis revealed an overall cumulative survival rate of 40%. Both mortality and hazard ratios increased with advancing age. Patients with Stage III pneumoconiosis had a significantly lower survival rate compared with those in stages I and II ( Conclusion: Our findings highlight the importance of strengthening prevention and control measures targeting high-risk populations and key industries. Strategies should focus on early detection, timely diagnosis, and active intervention.

Indexed as

PneumoconiosisAdultAgedChinaFemaleHumansMaleMiddle AgedProportional Hazards ModelsSurvival AnalysisCox regression analysismortality rateoccupational diseasepneumoconiosissurvival analysis

Identifiers

PMID41132176
PMCPMC12540365

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.