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在马什菲尔德流行病学研究区域(MESA)测量疾病发生率。

Measuring disease frequency in the Marshfield Epidemiologic Study Area (MESA).

作者信息

Greenlee Robert T

机构信息

Epidemiology Research Center, Marshfield Clinic Research Foundation, Marshfield, Wisconsin 54449, USA.

出版信息

Clin Med Res. 2003 Oct;1(4):273-80. doi: 10.3121/cmr.1.4.273.

Abstract

The Marshfield Epidemiologic Study Area (MESA) is a rare resource for population-based health and medical research developed at Marshfield Clinic Research Foundation. Because of high population coverage and health event capture, MESA is particularly useful for determining the frequency of disease in the general population. A substantial proportion of MESA-based publications appearing in the peer reviewed literature have reported incidence or prevalence rates of disease or disease-related factors. This paper reviews the first 10 years of MESA's support of meaningful inquiry into the frequency of disease occurrence, and briefly reports on the data and methods used for such calculations using selected chronic diseases as examples. Limitations of MESA estimates are discussed as are alternate methods. Compared to limited data published for the selected conditions, occurrence rates in MESA based on diagnostic codes and general validation rules only appear somewhat high, although the observed temporal trends and relationships with demographics are consistent. Rich clinical data sources are available to be linked with MESA to improve the specificity of case ascertainment, as is typically done for disease-specific publications from MESA.

摘要

马什菲尔德流行病学研究区域(MESA)是马什菲尔德诊所研究基金会开展基于人群的健康与医学研究的宝贵资源。由于人口覆盖率高且能捕捉健康事件,MESA对于确定普通人群中的疾病发生率尤为有用。在同行评审文献中发表的大量基于MESA的出版物都报告了疾病或疾病相关因素的发病率或患病率。本文回顾了MESA在支持对疾病发生频率进行有意义探究的头10年,并以选定的慢性病为例简要报告了用于此类计算的数据和方法。讨论了MESA估计值的局限性以及替代方法。与针对选定疾病公布的有限数据相比,基于诊断代码和一般验证规则的MESA发生率仅显得略高,尽管观察到的时间趋势以及与人口统计学的关系是一致的。丰富的临床数据源可与MESA相链接,以提高病例确诊的特异性,这与MESA针对特定疾病出版物的通常做法相同。

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