Suppr超能文献

癌症筛查中过长的领先时间导致了对过度诊断的严重低估。

Overestimated lead times in cancer screening has led to substantial underestimation of overdiagnosis.

机构信息

Norwegian Institute of Public Health, PO Box 4404 Nydalen, N-0403 Oslo, Norway.

出版信息

Br J Cancer. 2013 Oct 1;109(7):2014-9. doi: 10.1038/bjc.2013.427. Epub 2013 Aug 20.

Abstract

BACKGROUND

Published lead time estimates in breast cancer screening vary from 1 to 7 years and the percentages of overdiagnosis vary from 0 to 75%. The differences are usually explained as random variations. We study how much can be explained by using different definitions and methods.

METHODS

We estimated the clinically relevant lead time based on the observed incidence reduction after attending the last screening round in the Norwegian mammography screening programme. We compared this estimate with estimates based on models that do not take overdiagnosis into account (model-based lead times), for varying levels of overdiagnosis. Finally, we calculated overdiagnosis adjusted for clinical and model-based lead times and compared results.

RESULTS

Clinical lead time was about one year based on the reduction in incidence in women previously offered screening. When overdiagnosed tumours were included, the estimates increased to 4-9 years, depending on the age at which screening begins and the level of overdiagnosis. Including all breast cancers detected in women long after the end of the screening programme dilutes the level of overdiagnosis by a factor of 2-3.

CONCLUSION

When overdiagnosis is not taken into account, lead time is substantially overestimated. Overdiagnosis adjusted for model-based lead time is a function tending to zero, with no simple interpretation. Furthermore, the estimates are not in general comparable, because they depend on both the duration of screening and duration of follow-up. In contrast, overdiagnosis adjusted for clinically relevant tumours is a point estimate (and interpreted as percentage), which we find is the most reasonable method.

摘要

背景

乳腺癌筛查的发表的领先时间估计值从 1 年到 7 年不等,过度诊断的百分比从 0 到 75%不等。这些差异通常被解释为随机变化。我们研究了使用不同的定义和方法可以解释多少。

方法

我们根据挪威乳房 X 光筛查计划中最后一轮筛查后观察到的发病率降低来估计临床相关的领先时间。我们将这一估计与不考虑过度诊断的模型(基于模型的领先时间)进行了比较,模型中考虑了不同程度的过度诊断。最后,我们计算了临床和基于模型的领先时间调整后的过度诊断,并比较了结果。

结果

根据之前接受过筛查的女性的发病率降低,临床领先时间约为一年。当包括过度诊断的肿瘤时,估计值增加到 4-9 年,具体取决于筛查开始的年龄和过度诊断的程度。将筛查计划结束后很久才被诊断出的所有乳腺癌都包括在内,会将过度诊断的程度降低 2-3 倍。

结论

如果不考虑过度诊断,领先时间会被大大高估。基于模型的领先时间调整后的过度诊断是一个趋于零的函数,没有简单的解释。此外,这些估计值通常不可比,因为它们取决于筛查的持续时间和随访的持续时间。相比之下,基于临床相关肿瘤的过度诊断调整是一个点估计值(并解释为百分比),我们认为这是最合理的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4515/3790152/3c8653b31164/bjc2013427f1.jpg

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