Evidence map›Paper›PMID 41859272›Full record

ArticleFrontiers in public health2026

Long-term survival and the critical role of competing risks in pneumoconiosis: a large-scale retrospective cohort study.

Xinlei Chu, Lang Zhou, Qing Zhou, Lei Chen, Han Liu, Yao Huang, Wenjian Tan, Wei Li, Ning Wang, Lei Han and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Xinlei Chu *Nanjing Medical University, Nanjing, China.
Lang Zhou *Jiangsu Provincial Center for Disease Control and Prevention (Jiangsu Provincial Academy of Preventive Medicine), Nanjing, China.
Qing Zhou *NHC Key Laboratory of Contraceptives Vigilance and Fertility Surveillance, Jiangsu Health Development Research Center, Jiangsu Provincial Medical Key Laboratory of Fertility Protection and Health Technology Assessment, Nanjing, China.
Lei ChenNanjing Medical University, Nanjing, China.
Han LiuJiangsu Provincial Center for Disease Control and Prevention (Jiangsu Provincial Academy of Preventive Medicine), Nanjing, China.
Yao HuangNational Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Wenjian TanSchool of Public Health, Xuzhou Medical University, Xuzhou, China.
Wei LiKey Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China.
Ning WangNanjing Medical University, Nanjing, China.
Lei HanNanjing Medical University, Nanjing, China.
Ye LiSchool of Safety Engineering, China University of Mining and Technology, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The extension of survival in patients with pneumoconiosis has led to a shifting mortality spectrum where non-pneumoconiosis causes increasingly act as competing risks. Traditional survival analyses frequently ignore these competing events, potentially biasing prognostic estimates. Methods: We conducted a retrospective study of 18,064 patients with pneumoconiosis diagnosed between 1960 and 2024 in Jiangsu Province. The Fine-Gray model was used to identify independent predictors of pneumoconiosis-related death while accounting for competing mortality. We compared this evidence with the standard Cox proportional hazards model and established a prognostic nomogram. Results: The cumulative incidence of non-pneumoconiosis-related death progressively surpassed that of pneumoconiosis-related death during long-term follow-up. Older age at diagnosis, silicosis, an earlier era of diagnosis, and advanced baseline stage were identified as independent risk factors. The traditional Cox model overestimated risk effects for variables with differential impacts on competing outcomes. Subgroup analyses showed a significant interaction between disease type and stage regarding competing mortality risk. Specifically, patients with Stage II silicosis exhibited higher systemic vulnerability compared with those with coal workers' pneumoconiosis. The constructed nomogram demonstrated high discrimination and calibration. Conclusion: Non-pneumoconiosis-related death constitutes a critical competing risk that substantially affects the long-term survival outcomes of patients with pneumoconiosis. The Fine-Gray model provides accurate risk stratification by correcting for potential overestimation bias. Clinical management strategies must shift from singular pulmonary care to comprehensive health management that addresses comorbidities to improve overall survival outcomes.

Indexed as

PneumoconiosisAgedChinaFemaleHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesRisk FactorsSurvival Analysiscompeting riskFine–Gray modeloccupational diseasespneumoconiosissurvival analysis

Identifiers

PMID41859272
PMCPMC12996100

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.