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Time Trends for Prostate Cancer Incidence from 2003 to 2013 in South Korea: An Age-Period-Cohort Analysis
Hyun Young Lee, Do Kyoung Kim, Seung Whan Doo, Won Jae Yang, Yun Seob Song, Bora Lee, Jae Heon Kim
Cancer Res Treat. 2020;52(1):301-308.   Published online August 1, 2019
DOI: https://doi.org/10.4143/crt.2019.194
AbstractAbstract PDFPubReaderePub
Purpose
Prostate cancer (PCa) incidence is affected by aging phenomenon and performance of screening test. In United States, PCa incidence is affected by period effect of U.S. Preventive Services Task Force (USPSTF) recommendation. However, no study has reported the effect of USPSTF recommendation or aging phenomenon on PCa incidence in South Korea. Thus, the objective of this study was to investigate effects of age, period, and birth cohort on PCa incidence using age-period-cohort analysis.
Materials and Methods
Annual report of cancer statistics between 2003 and 2013 from National Health Insurance Service (NHIS) in South Korea for the number of PCa patients and Korean Statistical Information Service (KOSIS) data between 2003 and 2013 from national statistics in South Korea for the number of Korean male population were used. Age-period-cohort models were used to investigate effects of age, period, and birth cohort on PCa incidence.
Results
Overall PCa incidence in South Korea was increased 8.8% in annual percentage (95% confidential interval, 6.5 to 11.2; p < 0.001). It showed an increasing pattern from 2003 to 2011 but a decreasing pattern from 2011 to 2013. Age increased the risk of PCa incidence. However, the speed of increase was slower with increasing age. PCa incidence was increased 1.4 times in 2008 compared to that in 2003 or 2013. Regarding cohort effect, the risk of PCa incidence started to increase from 1958 cohort.
Conclusion
PCa incidence was affected by period of specific year. There was a positive cohort effect on PCa incidence associated with age structural change.

Citations

Citations to this article as recorded by  
  • Association Between Prostate Cancer Detection Rate and Year of Prostate Biopsy
    Young Jun Uhm, Woojin Bang, Jae Hoon Chung, Cheol Young Oh, Hwanik Kim, Jin Seon Cho
    Life.2025; 15(2): 260.     CrossRef
  • Incidence trends and spatial distribution of thyroid cancer in the Chinese female population from 1990 to 2019
    Xiaowei Qiao, Yunshang Cui, Changgeng Ma, Chunxiao Ma, Bingyu Bai, Chunping Wang
    Asia-Pacific Journal of Oncology Nursing.2024; 11(7): 100529.     CrossRef
  • Exploring Prostate Cancer Incidence Trends and Age Change in Cancer Registration Areas of Jiangsu Province, China, 2009 to 2019
    Hairong Zhou, Xin Hong, Weigang Miao, Weiwei Wang, Chenchen Wang, Renqiang Han, Jinyi Zhou
    Current Oncology.2024; 31(9): 5516.     CrossRef
  • A Web-Based Decision Aid for Informed Prostate Cancer Screening: Development and Pilot Evaluation
    Wonyoung Jung, In Young Cho, Keun Hye Jeon, Yohwan Yeo, Jae Kwan Jun, Mina Suh, Ansuk Jeong, Jungkwon Lee, Dong Wook Shin
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • Regional disparities in major cancer incidence in Korea, 1999-2018
    Eun Hye Park, Mee Joo Kang, Kyu-Won Jung, Eun Hye Park, E Hwa Yun, Hye-Jin Kim, Hyun-Joo Kong, Chang Kyun Choi, Jeong-Soo Im, Hong Gwan Seo
    Epidemiology and Health.2023; 45: e2023089.     CrossRef
  • Time Trends in Psoriasis and Psoriatic Arthritis Incidence from 2002 to 2016 in Taiwan: An Age–Period–Cohort Analysis
    Yu-Tsung Chen, Chih-Yi Wu, Yu-Ling Li, Li-Ying Chen, Hung-Yi Chiou
    Journal of Clinical Medicine.2022; 11(13): 3744.     CrossRef
  • The burden of endometriosis in China from 1990 to 2019
    Yan Wang, Xiaoyan Wang, Kaijun Liao, Baoqin Luo, Jiashou Luo
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Impact of Benign Prostatic Hyperplasia and/or Prostatitis on the Risk of Prostate Cancer in Korean Patients
    Sung Han Kim, Whi-An Kwon, Jae Young Joung
    The World Journal of Men's Health.2021; 39(2): 358.     CrossRef
  • Can Prostate-Specific Antigen Density Be an Index to Distinguish Patients Who Can Omit Repeat Prostate Biopsy in Patients with Negative Magnetic Resonance Imaging?
    Jiwoong Yu, Youngjun Boo, Minyong Kang, Hyun Hwan Sung, Byong Chang Jeong, Seongil Seo, Seong soo Jeon, Hyunmoo Lee, Hwang Gyun Jeon
    Cancer Management and Research.2021; Volume 13: 5467.     CrossRef
  • Long-term trends in the incidence of endometriosis in China from 1990 to 2019: a joinpoint and age–period–cohort analysis
    Jinhui Feng, Shitong Zhang, Jiadong Chen, Jie Yang, Jue Zhu
    Gynecological Endocrinology.2021; 37(11): 1041.     CrossRef
  • Personalized 5-Year Prostate Cancer Risk Prediction Model in Korea Based on Nationwide Representative Data
    Yohwan Yeo, Dong Wook Shin, Jungkwon Lee, Kyungdo Han, Sang Hyun Park, Keun Hye Jeon, Jungeun Shin, Aesun Shin, Jinsung Park
    Journal of Personalized Medicine.2021; 12(1): 2.     CrossRef
  • Association between SOD2 V16A variant and urological cancer risk
    Li-Feng Zhang, Kai Xu, Bo-Wen Tang, Wei Zhang, Wei Yuan, Chuang Yue, Li Shi, Yuan-Yuan Mi, Li Zuo, Li-Jie Zhu
    Aging.2020; 12(1): 825.     CrossRef
  • 7,203 View
  • 247 Download
  • 12 Web of Science
  • 12 Crossref
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Medical Travel among Non-Seoul Residents to Seek Prostate Cancer Treatment in Medical Facilities of Seoul
Jae Heon Kim, So Young Kim, Seok-Joong Yun, Jae Il Chung, Hoon Choi, Ho Song Yu, Yun-Sok Ha, In-Chang Cho, Hyung Joon Kim, Hyun Chul Chung, Jun Sung Koh, Wun-Jae Kim, Jong-Hyock Park, Ji Youl Lee
Cancer Res Treat. 2019;51(1):53-64.   Published online February 20, 2018
DOI: https://doi.org/10.4143/crt.2017.468
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
This study aims to investigate the trend in medical travel by non-Seoul residents to Seoul for treatment of prostate cancer and also to investigate the possible factors affecting the trend.
Materials and Methods
This study represents a retrospective cohort study using data from theKoreanNationalHealth Insurance System from 2002 to 2015. Annual trends were produced for proportions of patients who traveled according to the age group, economic status and types of treatment. Multiple logistic analysiswas used to determine factors affecting surgeries at medical facilities in Seoul among the non-Seoul residents.
Results
A total of 68,543 patients were defined as newly diagnosed prostate cancer cohorts from 2005 to 2014. The proportion of patients who traveled to Seoul for treatment, estimated from cases with prostate cancer-related claims, decreased slightly over 9 years (28.0 at 2005 and 27.0 at 2014, p=0.02). The average proportion of medical travelers seeking radical prostatectomy increased slightly but the increase was not statistically significant (43.1 at 2005 and 45.4 at 2014, p=0.26). Income level and performance ofrobot-assisted radical prostatectomy were significant positive factors for medical travel to medical facilities in Seoul. Combined comorbidity diseases and year undergoing surgery were significant negative factors for medical travel to medical facilities in Seoul.
Conclusion
The general trend of patients travelling from outside Seoul for prostate cancer treatment decreased from 2005 to 2014. However, a large proportion of traveling remained irrespective of direct distance from Seoul.

Citations

Citations to this article as recorded by  
  • Relationship between patient outcomes and patterns of fragmented cancer care in older adults with gastric cancer: A nationwide cohort study in South Korea
    Dong-Woo Choi, Seungju Kim, Sun Jung Kim, Dong Wook Kim, Kwang Sun Ryu, Jae Ho Kim, Yoon-Jung Chang, Kyu-Tae Han
    Journal of Geriatric Oncology.2024; 15(2): 101685.     CrossRef
  • Analysis of trend in the role of national and regional hubs in prostatectomy after prostate cancer diagnosis in the past 5 years: A nationwide population-based study
    Seong Cheol Kim, Seungbong Han, Ji Hyung Yoon, Sungchan Park, Kyung Hyun Moon, Sang Hyeon Cheon, Gyung-Min Park, Taekmin Kwon
    Investigative and Clinical Urology.2024; 65(2): 124.     CrossRef
  • Domestic medical travel from non-Seoul regions to Seoul for initial breast cancer treatment: a nationwide cohort study
    Jae Ho Jeong, Jinhong Jung, Hee Jeong Kim, Jong Won Lee, Beom-Seok Ko, Byung Ho Son, Kyung Hae Jung, Il Yong Chung
    Annals of Surgical Treatment and Research.2023; 104(2): 71.     CrossRef
  • Symptom Experiences before Medical Help-Seeking and Psychosocial Responses of Patients with Esophageal Cancer: A Qualitative Study
    Hui Ge, Liang Zhang, Xuanxuan Ma, Wen Li, Shuwen Li, Pranshu Sahgal
    European Journal of Cancer Care.2023; 2023: 1.     CrossRef
  • Cancer care patterns in South Korea: Types of hospital where patients receive care and outcomes using national health insurance claims data
    Dong‐Woo Choi, Sun Jung Kim, Seungju Kim, Dong Wook Kim, Wonjeong Jeong, Kyu‐Tae Han
    Cancer Medicine.2023; 12(13): 14707.     CrossRef
  • Regional disparities in the availability of cancer clinical trials in Korea
    Jieun Jang, Wonyoung Choi, Sung Hoon Sim, Sokbom Kang
    Epidemiology and Health.2023; 46: e2024006.     CrossRef
  • Do Patients Residing in Provincial Areas Transport and Spend More on Cancer Treatment in Korea?
    Woorim Kim, Kyu-Tae Han, Seungju Kim
    International Journal of Environmental Research and Public Health.2021; 18(17): 9247.     CrossRef
  • Time Trends for Prostate Cancer Incidence from 2003 to 2013 in South Korea: An Age-Period-Cohort Analysis
    Hyun Young Lee, Do Kyoung Kim, Seung Whan Doo, Won Jae Yang, Yun Seob Song, Bora Lee, Jae Heon Kim
    Cancer Research and Treatment.2020; 52(1): 301.     CrossRef
  • Trends in Prostate Cancer Prevalence and Radical Prostatectomy Rate according to Age Structural Changes in South Korea between 2005 and 2015
    Hyun Young Lee, Suyeon Park, Seung Whan Doo, Won Jae Yang, Yun Seob Song, Jae Heon Kim
    Yonsei Medical Journal.2019; 60(3): 257.     CrossRef
  • Why is Life Expectancy in Busan Shorter than in Seoul? Age and Cause-Specific Contributions to the Difference in Life Expectancy between Two Cities
    Young-Ho Khang, Jinwook Bahk
    Yonsei Medical Journal.2019; 60(7): 687.     CrossRef
  • 10,897 View
  • 229 Download
  • 10 Web of Science
  • 10 Crossref
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