The impact of the COVID-19 pandemic on cancer deaths due to delays in diagnosis in England, UK: a national, population-based, modelling study

医学 大流行 介绍 人口 癌症 急诊医学 癌症登记处 2019年冠状病毒病(COVID-19) 结直肠癌 重症监护医学 疾病 医疗急救 儿科 家庭医学 内科学 环境卫生 传染病(医学专业)
作者
Camille Maringe,James Spicer,Melanie Morris,Arnie Purushotham,Ellen Nolte,Richard Sullivan,Bernard Rachet,Ajay Aggarwal
出处
期刊:Lancet Oncology [Elsevier BV]
卷期号:21 (8): 1023-1034 被引量:1811
标识
DOI:10.1016/s1470-2045(20)30388-0
摘要

Since a national lockdown was introduced across the UK in March, 2020, in response to the COVID-19 pandemic, cancer screening has been suspended, routine diagnostic work deferred, and only urgent symptomatic cases prioritised for diagnostic intervention. In this study, we estimated the impact of delays in diagnosis on cancer survival outcomes in four major tumour types.In this national population-based modelling study, we used linked English National Health Service (NHS) cancer registration and hospital administrative datasets for patients aged 15-84 years, diagnosed with breast, colorectal, and oesophageal cancer between Jan 1, 2010, and Dec 31, 2010, with follow-up data until Dec 31, 2014, and diagnosed with lung cancer between Jan 1, 2012, and Dec 31, 2012, with follow-up data until Dec 31, 2015. We use a routes-to-diagnosis framework to estimate the impact of diagnostic delays over a 12-month period from the commencement of physical distancing measures, on March 16, 2020, up to 1, 3, and 5 years after diagnosis. To model the subsequent impact of diagnostic delays on survival, we reallocated patients who were on screening and routine referral pathways to urgent and emergency pathways that are associated with more advanced stage of disease at diagnosis. We considered three reallocation scenarios representing the best to worst case scenarios and reflect actual changes in the diagnostic pathway being seen in the NHS, as of March 16, 2020, and estimated the impact on net survival at 1, 3, and 5 years after diagnosis to calculate the additional deaths that can be attributed to cancer, and the total years of life lost (YLLs) compared with pre-pandemic data.We collected data for 32 583 patients with breast cancer, 24 975 with colorectal cancer, 6744 with oesophageal cancer, and 29 305 with lung cancer. Across the three different scenarios, compared with pre-pandemic figures, we estimate a 7·9-9·6% increase in the number of deaths due to breast cancer up to year 5 after diagnosis, corresponding to between 281 (95% CI 266-295) and 344 (329-358) additional deaths. For colorectal cancer, we estimate 1445 (1392-1591) to 1563 (1534-1592) additional deaths, a 15·3-16·6% increase; for lung cancer, 1235 (1220-1254) to 1372 (1343-1401) additional deaths, a 4·8-5·3% increase; and for oesophageal cancer, 330 (324-335) to 342 (336-348) additional deaths, 5·8-6·0% increase up to 5 years after diagnosis. For these four tumour types, these data correspond with 3291-3621 additional deaths across the scenarios within 5 years. The total additional YLLs across these cancers is estimated to be 59 204-63 229 years.Substantial increases in the number of avoidable cancer deaths in England are to be expected as a result of diagnostic delays due to the COVID-19 pandemic in the UK. Urgent policy interventions are necessary, particularly the need to manage the backlog within routine diagnostic services to mitigate the expected impact of the COVID-19 pandemic on patients with cancer.UK Research and Innovation Economic and Social Research Council.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
2秒前
Wxl发布了新的文献求助10
2秒前
3秒前
秀秀发布了新的文献求助30
3秒前
端庄忆梅发布了新的文献求助10
4秒前
5秒前
5秒前
无花果的应助被cheng_jue采纳,获得10
5秒前
6秒前
zzh发布了新的文献求助30
6秒前
7秒前
crispshu发布了新的文献求助20
7秒前
科研吴彦祖完成签到,获得积分10
8秒前
9秒前
chengke发布了新的文献求助10
9秒前
9秒前
还我小小嘴完成签到,获得积分10
9秒前
元柏完成签到,获得积分10
9秒前
大模型的应助被哈哈哈采纳,获得10
10秒前
10秒前
fff发布了新的文献求助200
10秒前
Zhao发布了新的文献求助10
11秒前
端庄忆梅发布了新的文献求助10
11秒前
12秒前
隐形曼青的应助被Loes采纳,获得10
12秒前
Luckyz发布了新的文献求助10
12秒前
8音盒完成签到,获得积分10
13秒前
隐形曼青的应助被可可采纳,获得10
14秒前
Wxl完成签到,获得积分10
14秒前
科研通AI6.2的应助被superchen采纳,获得10
14秒前
刻苦寒珊完成签到,获得积分10
14秒前
Cinderella完成签到 ,获得积分10
15秒前
16秒前
是非完成签到,获得积分10
17秒前
科研通AI6.2的应助被无一采纳,获得10
17秒前
卓莎发布了新的文献求助10
17秒前
18秒前
18秒前
19秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
Encyclopedia of Geology 2nd Edition 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7805155
求助须知:如何正确求助?哪些是违规求助? 9338768
关于积分的说明 20493029
捐赠科研通 7397170
什么是DOI,文献DOI怎么找? 3327679
关于科研通互助平台的介绍 2474554
邀请新用户注册赠送积分活动 2345780