利用癌症发病率数据识别癌症病因。
Use of cancer incidence data in identification of cancer causation.
作者信息
Lynge E
机构信息
Danish Cancer Society, København, Denmark.
出版信息
Environ Health Perspect. 1996 May;104 Suppl 3(Suppl 3):639-41. doi: 10.1289/ehp.96104s3639.
This paper discusses the use of cancer incidence data in identification of cancer causation. Selective descriptive and analytical epidemiological studies were reviewed. These examples were taken primarily from Denmark, where the possibilities for epidemiological research are good due to the existence of many exposure and disease registers. Descriptive studies are still needed for a better understanding of cancer. Analytical studies of individual risk factors today often show relative risks of only 1.5 to 2, and these are difficult to translate into preventive recommendations. Epidemiology still remains the best available tool for identification of risk factors.
本文讨论了癌症发病率数据在确定癌症病因方面的应用。回顾了选择性描述性和分析性流行病学研究。这些例子主要取自丹麦，由于存在许多暴露和疾病登记册，丹麦的流行病学研究条件良好。为了更好地了解癌症，描述性研究仍然是必要的。如今对个体风险因素的分析性研究往往显示相对风险仅为1.5至2，而这些风险难以转化为预防性建议。流行病学仍然是识别风险因素的最佳可用工具。
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