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癌症死亡率地图与图谱:引发新问题的有用工具综述

Maps and atlases of cancer mortality: a review of a useful tool to trigger new questions.

作者信息

d'Onofrio Alberto, Mazzetta Chiara, Robertson Chris, Smans Michel, Boyle Peter, Boniol Mathieu

机构信息

International Prevention Research Institute, Lyon 69006, France.

IstitutoEuropeo di Oncologia Milano 20141, Italy; Chiara passed away in November 2010.

出版信息

Ecancermedicalscience. 2016 Sep 1;10:670. doi: 10.3332/ecancer.2016.670. eCollection 2016.

Abstract

In this review we illustrate our view on the epidemiological relevance of geographically mapping cancer mortality. In the first part of this work, after delineating the history of cancer mapping with a view on interpretation of Cancer Mortality Atlases, we briefly illustrate the 'art' of cancer mapping. Later we summarise in a non-mathematical way basic methods of spatial statistics. In the second part of this paper, we employ the 'Atlas of Cancer Mortality in the European Union and the European Economic Area 1993-1997' in order to illustrate spatial aspects of cancer mortality in Europe. In particular, we focus on the cancer related to tobacco and alcohol epidemics and on breast cancer which is of particular interest in cancer mapping. Here we suggest and reiterate two key concepts. The first is that a cancer atlas is not only a visual tool, but it also contain appropriate spatial statistical analyses that quantify the qualitative visual impressions to the readers even though at times revealing fallacy. The second is that a cancer atlas is by no means a book where answers to questions can be found. On the contrary, it ought to be considered as a tool to trigger new questions.

摘要

在本综述中,我们阐述了对于绘制癌症死亡率地理分布图的流行病学意义的看法。在这项工作的第一部分,在结合对《癌症死亡率地图集》的解读勾勒出癌症绘图的历史之后,我们简要说明了癌症绘图的“技巧”。随后,我们以非数学的方式总结了空间统计学的基本方法。在本文的第二部分,我们使用《1993 - 1997年欧盟及欧洲经济区癌症死亡率地图集》来说明欧洲癌症死亡率的空间特征。特别是,我们关注与烟草和酒精流行相关的癌症以及在癌症绘图中特别受关注的乳腺癌。在此我们提出并重申两个关键概念。第一个是癌症地图集不仅是一种可视化工具,它还包含适当的空间统计分析,这些分析能够将定性的视觉印象量化呈现给读者,即便有时会揭示出谬误。第二个是癌症地图集绝不是一本能找到问题答案的书。相反,它应被视为引发新问题的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7797/5014559/67f8a21bf12c/can-10-670fig1.jpg

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