Evidence map›Paper›PMID 41551285›Full record

ArticleFrontiers in public health2025

Global trend analysis and risk evolution of asbestos-related ovarian cancer: a population-based study and future prediction (1990-2021).

Xiaolong Li, Jiwei Li, Dongyong Shan, Ming Zhou, Li Mengna, Yinghua Li, Man Xia, Hongyu Deng

Erratum issuedAbstract read
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. An erratum has been issued. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

5 · Who and what money

Authors and funding

8 authors.

Xiaolong Li *Department of Clinical Laboratory, Hunan Key Laboratory of Oncotarget Gene, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Jiwei Li *Department of Clinical Laboratory, Hunan Key Laboratory of Oncotarget Gene, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Dongyong ShanDepartment of Clinical Laboratory, Hunan Key Laboratory of Oncotarget Gene, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Ming ZhouDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China.
Li MengnaDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China.
Yinghua LiDepartment of Gynecological Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Man XiaDepartment of Gynecological Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Hongyu DengDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing evidence demonstrates that asbestos exposure is an environmental risk factor for ovarian cancer (OC). Using comprehensive data from the 2021 Global Burden of Disease Study, this research quantified the epidemiological burden of asbestos-related ovarian cancer. In 2021, asbestos exposure accounted for 5,587 OC deaths-a 51.2% increase from 1990. However, the age-standardized mortality rate (ASMR) decreased from 0.11 (95% UI: 0.05-0.17) to 0.07 (95% UI: 0.03-0.11) per 100,000 people between 1990 and 2021. Similarly, the disability-adjusted life-year (DALY) rate declined from 1.93 (95% UI: 0.92-3.03) to 1.15 (95% UI: 0.56-1.85) per 100,000 people, reflecting a 40.4% reduction in total DALYs. Projections based on the Bayesian age-period-cohort (BAPC) model indicate declining incidence and mortality rates over the next 25 years. These findings suggest asbestos' role as an independent OC risk factor is diminishing, warranting further investigation into its synergistic effects and co-pathogenesis with other etiological factors.

Indexed as

AsbestosEnvironmental ExposureOvarian NeoplasmsAgedBayes TheoremDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseGlobal HealthHumansIncidenceRisk FactorsAsbestosasbestosepidemiologyGBDglobal disease burden 2021ovarian cancer

Identifiers

PMID41551285
PMCPMC12808446

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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.