위암은 최근 발생률이 감소하고 상대생존율이 증가하는 추세를 보이지만 여전히 국내에서 가장 많이 발생하는 암종이다. 특히, 2006년부터 2016년까지 10년동안 부산광역시의 위암 사망률이 전국이나 다른 대도시보다 더 높은 것으로 나타났다. 본 연구에서는 부산광역시 소지역별 위암 사망률의 차이를 알아보고자 암등록자료에 대한 위암 환자들의 초진부터 사망까지를 생존시간으로 정의하여 생존분석을 실시하였다. 이를 위해, 성별 및 연령에 따른 병기별 생존률을 카플란-마이어 생존곡선을 통해 비교하였으며, 특히 지역에 따라 위암 생존률이 다를 수 있으므로 읍면동 지역단위를 변량효과로 고려하여 프레일티 생존모형을 적합하였다. 이러한 적합 결과에 대하여 다양한 시각화 및 부산지역 질병지도를 제시하였으며, 추가적으로 모형에 박탈지수 변수를 포함하였을 때 두 추론결과를 또한 비교하였다. 결과적으로, 박탈지수 변수가 위암 사망에 대한 동 간 유의성을 감소시키는 것으로 나타났다.
위암은 최근 발생률이 감소하고 상대생존율이 증가하는 추세를 보이지만 여전히 국내에서 가장 많이 발생하는 암종이다. 특히, 2006년부터 2016년까지 10년동안 부산광역시의 위암 사망률이 전국이나 다른 대도시보다 더 높은 것으로 나타났다. 본 연구에서는 부산광역시 소지역별 위암 사망률의 차이를 알아보고자 암등록자료에 대한 위암 환자들의 초진부터 사망까지를 생존시간으로 정의하여 생존분석을 실시하였다. 이를 위해, 성별 및 연령에 따른 병기별 생존률을 카플란-마이어 생존곡선을 통해 비교하였으며, 특히 지역에 따라 위암 생존률이 다를 수 있으므로 읍면동 지역단위를 변량효과로 고려하여 프레일티 생존모형을 적합하였다. 이러한 적합 결과에 대하여 다양한 시각화 및 부산지역 질병지도를 제시하였으며, 추가적으로 모형에 박탈지수 변수를 포함하였을 때 두 추론결과를 또한 비교하였다. 결과적으로, 박탈지수 변수가 위암 사망에 대한 동 간 유의성을 감소시키는 것으로 나타났다.
Gastric cancer was the most common carcinoma in Korea, even though incidence has recently decreased and relative survival rate has increased. In particular, the death rate of gastric cancer in Busan was higher than that of the whole country or Seoul during 10 years from 2006 to 2016. In this paper, ...
Gastric cancer was the most common carcinoma in Korea, even though incidence has recently decreased and relative survival rate has increased. In particular, the death rate of gastric cancer in Busan was higher than that of the whole country or Seoul during 10 years from 2006 to 2016. In this paper, the survival analysis for the survival time, i.e. time to death from initial diagnosis of gastric cancer, was performed using the Busan cancer registry data. For this, we compared survival rates according to sex and age by Kaplan-Meier survival curves. Especially, because survival rate of gastric cancer may be different according to region, we fitted the frailty models considering Eup-Myon-Dong regional unit as a random effect. Various visualizations and disease mapping of Busan area were presented for the fitting result. In addition, the two inference results were also compared when deprivation index variable was included in the model. As a result, the deprivation index variable decreased the significance for death of gastric cancer among Dongs.
Gastric cancer was the most common carcinoma in Korea, even though incidence has recently decreased and relative survival rate has increased. In particular, the death rate of gastric cancer in Busan was higher than that of the whole country or Seoul during 10 years from 2006 to 2016. In this paper, the survival analysis for the survival time, i.e. time to death from initial diagnosis of gastric cancer, was performed using the Busan cancer registry data. For this, we compared survival rates according to sex and age by Kaplan-Meier survival curves. Especially, because survival rate of gastric cancer may be different according to region, we fitted the frailty models considering Eup-Myon-Dong regional unit as a random effect. Various visualizations and disease mapping of Busan area were presented for the fitting result. In addition, the two inference results were also compared when deprivation index variable was included in the model. As a result, the deprivation index variable decreased the significance for death of gastric cancer among Dongs.
Choi, M. H., Cheong, K. S., Cho, B. M., Hwang, I. K., Kim, C. H., Kim, M. H., Hwang, S. S., Lim, J. H. and Yoon, T. H. (2011). Deprivation and mortality at the town level in Busan, Korea: An ecological study. Journal of Preventive Medicine and Public Health, 44, 242-248.
Ha, I. D. (2016). ML estimation using Poisson HGLM approach in semi-parametric frailty models. Journal of the Korean Data & Information Science Society, 27, 1389-1397.
Ha, I. D., Jeong, J. H. and Lee, Y. (2017). Statistical modelling of survival data with random effects: h-likelihood approach. Springer, Singapore.
Kwon, J., Park, E. and Ha, I. D. (2018). Fitting semi-parametric frailty models using recent frailty R packages. Journal of the Korean Data & Information Science Society, 29, 583-591.
Lee, Y. and Nelder, J. A. (1996). Hierarchical generalized linear models (with discussion). Journal of the Royal Statistical Society B, 58, 619-678.
Lee, J., Yun, J. S., Jeong, J. J., Nam, K. H., Chung, W. Y., Sho, E. Y. and Par, C. S. (2008). Follicular thyroid carcinoma: Clinicopathologic features, prognostic factors, and treatment strategy. Journal of Korean Surgical Society, 74.
Lee, S., Shim, B. Y. and Kim, J. (2015). Estimation of hazard fuction and hazard change-point for the rectal cancer data. Journal of the Korean Data & Information Science Society, 26, 1225-1238.
Lee, T. and Lee, M. (2017). Analysis of stage III proximal colon cancer using the Cox proportional hazards model. Journal of the Korean Data & Information Science Society, 28, 349-359.
Statistics Korea (2016). Causse of death. Korean statistical information service (KOSIS), http://kosis.kr/
Townsend, P., Phillimore, P. and Beattie, A. (1988). Health and deprivation: inequality and the North. Croom Helm, London.
Young. J. L. Jr., Roffers, SD., Ries, LAG., Fritz, AG. and Hurlbut, AA. (2001). SEER Summary staging manual: 2000 codes and coding instructions, National Cancer Institute, Bethesda, MD.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.