Suppr超能文献

预测癌症的未来负担。

Predicting the future burden of cancer.

作者信息

Bray Freddie, Møller Bjørn

机构信息

Cancer Registry of Norway, Institute of Population-based Research, Montebello, Oslo, 0310, Norway.

出版信息

Nat Rev Cancer. 2006 Jan;6(1):63-74. doi: 10.1038/nrc1781.

Abstract

As observations in the past do not necessarily hold into the future, predicting future cancer occurrence is fraught with uncertainty. Nevertheless, predictions can aid health planners in allocating resources and allow scientists to explore the consequence of interventions aimed at reducing the impact of cancer. Simple statistical models have been refined over the past few decades and often provide reasonable predictions when applied to recent trends. Intrinsic to their interpretation, however, is an understanding of the forces that drive time trends. We explain how and why cancer predictions are made, with examples to illustrate the concepts in practice.

摘要

由于过去的观察结果不一定适用于未来,预测未来癌症的发生充满了不确定性。然而,预测可以帮助卫生规划者分配资源,并让科学家探索旨在减少癌症影响的干预措施的后果。在过去几十年中,简单的统计模型得到了完善,并且在应用于近期趋势时通常能提供合理的预测。然而,对其进行解读的内在要求是理解驱动时间趋势的因素。我们将解释如何以及为何进行癌症预测,并举例说明这些概念在实际中的应用。

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