ArticleCurrent oncology (Toronto, Ont.)2024
Exploring Prostate Cancer Incidence Trends and Age Change in Cancer Registration Areas of Jiangsu Province, China, 2009 to 2019.
Article in Current oncology (Toronto, Ont.), 2024. 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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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.
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Who cites it
4 citing papers in PubMed.
- Hospitalization expenses for radical prostatectomy in a tertiary hospital in China: a quantile regression and CHAID decision tree analysis.BMC health services research · 2026Article
- Application and prospect of artificial intelligence in diagnostic imaging of prostate cancer.NPJ digital medicine · 2026Review
- Effect of radical prostatectomy on anxiety, depression, and quality of life in patients diagnosed with prostate cancer.World journal of psychiatry · 2025Article
- Article
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Authors and funding
7 authors.
Funding
Abstract
(1) Background: Over the past few decades, Jiangsu Province, China, has witnessed a remarkable surge in the incidence of prostate cancer (PCa), accompanied by notable demographic shifts; (2) Methods: PCa data for Jiangsu Province from 2009 to 2019 were obtained from the Jiangsu Cancer Registry. We calculated crude and age-specific incidence rates (ASIRs), average age at onset, and age-specific composition ratios. Standardization was performed based on the Segi's world population. Birth cohorts (1929-2019) were analyzed to assess PCa incidence by birth year. Trend analysis was conducted using the Joinpoint Regression Model, and average annual percent changes (AAPCs) with corresponding 95% confidence interval (CI) were computed. A linear regression model was used to analyze the relationship between the average age at diagnosis and calendar years; (3) Results: The ASIRs of PCa in Jiangsu Province increased significantly, with an AAPC of 11.25% (95%CI: 10.09%, 12.42%) from 2009 to 2019. This increase was observed across all age groups, particularly among those aged 0-59 years. Birth cohort analysis revealed a rising trend with earlier birth years showing higher incidence, notably in the 1959 cohort. In rural areas, the age-standardized average age at onset of PCa decreased from 75.45 years in 2009 to 73.39 years in 2019, and the peak age group shifted from 75-79 years in 2009 to 70-74 years in 2019; (4) Conclusions: The rising incidence of PCa in Jiangsu Province, along with an increased proportion of cases in younger age groups, highlights the need for targeted interventions.
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