Suppr超能文献

A single measure of cancer burden in Korea from 1999 to 2010.

作者信息

Cho Kyoung-Hee, Park Sohee, Lee Kwang-Sig, Jang Sung-In, Yoo Ki-Bong, Kim Jae-Hyun, Park Eun-Cheol

机构信息

Department of Public Health, Yonsei University College of Medicine, Korea E-mail :

出版信息

Asian Pac J Cancer Prev. 2013;14(9):5249-55. doi: 10.7314/apjcp.2013.14.9.5249.

Abstract

BACKGROUND

The purpose of this study was to develop a single measure of cancer burden (SMCB), which can prioritize cancer sites by considering incidence and mortality.

MATERIALS AND METHODS

Incidence data from 1999 to 2010 were obtained from the Korea Central Cancer Registry. Mortality data from 1999 to 2010 were obtained from Statistics Korea. The SMCB was developed by adding incidence and mortality scores. The respective scores were given such that incidence and mortality were classified by ten ranges of equal intervals.

RESULTS

According to the SMCB in 2010, stomach cancer ranked 1st in males with 20 points, and colorectal cancer was 2nd with 11 points. Breast cancer and thyroid cancer were joint 1st with 11 points for females. The SMCB for females was less than that for males. The burden of stomach cancer was 1st in males from 1999-2010. The incidences of lung cancer and liver cancer decreased, whereas thyroid cancer and colon cancer increased during the period. Breast cancer and thyroid cancer burden showed tendencies to increase in females. Comparison of SMCB with disability-adjusted life years (DALY) and socioeconomic costs in 2005 showed that the top five cancer sites were similar, but there were differences in the size of the cancer burden.

CONCLUSIONS

The SMCB indicated that the burdens of stomach cancer in males and thyroid and breast cancers in females were large. The single measure showed an advantage, reflected as the equivalent dimensions of incidence and mortality, whereas DALY and economic costs showed tendencies to reflect premature death.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验