Suppr超能文献

基于年龄队列分析对德国萨尔州癌症发病率进行监测和预测。

Monitoring and projecting cancer incidence in Saarland, Germany, based on age-cohort analyses.

作者信息

Brenner H, Ziegler H

机构信息

University of Ulm, Unit of Epidemiology, Germany.

出版信息

J Epidemiol Community Health. 1992 Feb;46(1):15-20. doi: 10.1136/jech.46.1.15.

Abstract

STUDY OBJECTIVE

The aims were (1) to monitor and compare incidence rates of cancer from successive birth cohorts in Saarland over the period from 1968 to 1987; (2) to project cancer incidence in Saarland in 1988-2002 in order to provide guidelines for health policy planning.

DESIGN

This was an ecological study of overlapping birth cohorts of women and men.

SETTING

The study was population based involving the whole state of Saarland.

PATIENTS

80,028 cases of malignant neoplasms (other than non-melanoma skin cancer) diagnosed from 1968 to 1987 and reported to the cancer registry of Saarland were included.

MEASUREMENTS AND MAIN RESULTS

Age specific, sex specific, and period specific cancer incidence rates were analysed and extrapolated by multiplicative age-cohort models. Due to a steady rise in birth cohort specific cancer incidence rates in males, a substantial rise in incidence of total cancer is projected, while a moderate decline is expected for females. Analogous analyses are presented for the most common single forms of cancer in women and men. Alternative strategies of analysis, such as age-period-cohort modelling, are discussed.

CONCLUSIONS

The age-cohort model is well suited for monitoring incidence of most forms of cancer. The projections provide quantitative guidelines for planning of health care resources and underline and quantify the challenge for primary and secondary cancer prevention in Saarland.

摘要

研究目的

本研究旨在(1)监测并比较1968年至1987年期间萨尔州连续出生队列的癌症发病率;(2)预测1988年至2002年萨尔州的癌症发病率,为卫生政策规划提供指导方针。

设计

这是一项针对男性和女性重叠出生队列的生态学研究。

研究地点

该研究以萨尔州全州人口为基础。

研究对象

纳入了1968年至1987年期间诊断出的80028例恶性肿瘤病例(非黑色素瘤皮肤癌除外),这些病例已上报至萨尔州癌症登记处。

测量指标及主要结果

采用乘性年龄队列模型分析并推断了年龄、性别和时期特异性癌症发病率。由于男性出生队列特异性癌症发病率稳步上升,预计总体癌症发病率将大幅上升,而女性预计将适度下降。文中还针对男性和女性最常见的单一癌症形式进行了类似分析。讨论了年龄-时期-队列建模等替代分析策略。

结论

年龄队列模型非常适合监测大多数癌症形式的发病率。这些预测为医疗资源规划提供了定量指导方针,并强调和量化了萨尔州癌症一级和二级预防面临的挑战。

相似文献

7
Second primary neoplasms following breast cancer in Saarland, Germany, 1968-1987.
Eur J Cancer. 1993;29A(10):1410-4. doi: 10.1016/0959-8049(93)90013-6.
8
Changing patterns of skin melanoma mortality in West Germany from 1968 through 1999.
Ann Epidemiol. 2003 Jul;13(6):436-42. doi: 10.1016/s1047-2797(03)00002-4.

本文引用的文献

5
Temporal trends in breast cancer.乳腺癌的时间趋势
Am J Epidemiol. 1982 May;115(5):759-77. doi: 10.1093/oxfordjournals.aje.a113358.
10
Do the predictions for cancer incidence come true? Experience from Finland.癌症发病率的预测会成真吗?来自芬兰的经验。
Cancer. 1986 Jun 15;57(12):2454-8. doi: 10.1002/1097-0142(19860615)57:12<2454::aid-cncr2820571235>3.0.co;2-d.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验