Suppr超能文献

美国口腔和咽癌:流行病学概述

Cancers of the oral cavity and pharynx in the United States: an epidemiologic overview.

作者信息

Swango P A

出版信息

J Public Health Dent. 1996 Fall;56(6):309-18. doi: 10.1111/j.1752-7325.1996.tb02458.x.

Abstract

OBJECTIVES

This paper reviews and summarizes recent epidemiologic data on the incidence, mortality, and survival of cancers of the oral cavity and pharynx. It identifies gaps in the science base, discusses emerging trends, and points out opportunities through which the epidemiology of these cancers can be understood better.

METHODS

Primary data sources were SEER incidence and survival data from 1973-92 and NCHS mortality data from the same period.

RESULTS

In general, the incidence, mortality, and survival rates for oral and pharyngeal cancers are well documented by existing national data; however, gaps in coverage still exist with respect to geographic, racial, and ethnic information. Overall, trends in the occurrence of these cancer types since 1973 have revealed modest improvements in incidence, more substantial improvements in mortality, and little change in survival. However, these trends varied by race, sex, and anatomic subsites.

CONCLUSIONS

Demographic changes will greatly influence the epidemiology of oral and pharyngeal cancer in coming decades. For older Americans, these cancer types are likely to remain a serious and perhaps increasing problem. Understanding of these cancers can be furthered by continued analysis of existing databases and the creation of new data sources for the future.

摘要

目的

本文回顾并总结了近期关于口腔癌和咽癌发病率、死亡率及生存率的流行病学数据。确定了科学依据方面的差距,讨论了新出现的趋势,并指出了能更好地理解这些癌症流行病学情况的机会。

方法

主要数据来源为1973 - 1992年的监测、流行病学与最终结果(SEER)发病率和生存率数据以及同期美国国家卫生统计中心(NCHS)的死亡率数据。

结果

总体而言,现有国家数据对口腔癌和咽癌的发病率、死亡率及生存率记录良好;然而,在地理、种族和民族信息的覆盖方面仍存在差距。总体而言,自1973年以来这些癌症类型的发病趋势显示发病率有适度改善,死亡率有更显著改善,生存率变化不大。然而,这些趋势因种族、性别和解剖亚部位而异。

结论

人口结构变化将在未来几十年极大地影响口腔癌和咽癌的流行病学情况。对于美国老年人来说,这些癌症类型可能仍然是一个严重且可能日益严重的问题。通过持续分析现有数据库以及为未来创建新的数据来源,可以进一步加深对这些癌症的了解。

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