Evidence map›Paper›PMID 34049776›Full record

ArticleEuropean journal of cancer (Oxford, England : 1990)2021

Economic impact of avoidable cancer deaths caused by diagnostic delay during the COVID-19 pandemic: A national population-based modelling study in England, UK.

Adrian Gheorghe, Camille Maringe, James Spice, Arnie Purushotham, Kalipso Chalkidou, Bernard Rachet, Richard Sullivan, Ajay Aggarwal

Open access · hybridAbstract readComment
In one paragraph

Article in European journal of cancer (Oxford, England : 1990), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Adrian GheorgheCentre for Global Infectious Disease Analysis, School of Public Health, Imperial College London.
Camille MaringeDepartment of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
James SpiceSchool of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom; Department of Oncology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Arnie PurushothamSchool of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom; Department of Oncology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Kalipso ChalkidouCentre for Global Infectious Disease Analysis, School of Public Health, Imperial College London.
Bernard RachetDepartment of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Richard SullivanSchool of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom; Department of Oncology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom; Institute of Cancer Policy, King's College London, London, United Kingdom.
Ajay AggarwalDepartment of Oncology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom; Institute of Cancer Policy, King's College London, London, United Kingdom; Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom. Electronic address: ajay.aggarwal@lshtm.ac.uk.
King's College London · GBImperial College London · GBLondon School of Hygiene & Tropical Medicine · GB

Funding

Cancer Research UK 18525Cancer Research UK 29018Medical Research Council MC_PC_19012Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

introductionDelays in cancer diagnosis arose from the commencement of non-pharmaceutical interventions (NPI) introduced in the UK in March 2020 in response to the COVID-19 pandemic. Our earlier work predicted this will lead to approximately 3620 avoidable deaths for four major tumour types (breast, bowel, lung, and oesophageal cancer) in the next 5 years. Here, using national population-based modelling, we estimate the health and economic losses resulting from these avoidable cancer deaths. We also compare these with the impact of an equivalent number of COVID-19 deaths to understand the welfare consequences of the different health conditions.

methodsWe estimate health losses using quality-adjusted life years (QALYs) and lost economic productivity using the human capital (HC) approach. The analysis uses 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 1st Jan to 31st Dec 2010, with follow-up data until 31st Dec 2014, and diagnosed with lung cancer between 1st Jan to 31st Dec 31 2012, with follow-up data until 31st Dec 2015. Productivity losses are based on the estimation of excess additional deaths due to cancer at 1, 3 and 5 years for the four cancer types, which were derived from a previous analysis using this dataset. A total of 500 random samples drawn from the total number of COVID-19 deaths reported by the Office for National Statistics, stratified by gender, were used to estimate productivity losses for an equivalent number of deaths (n = 3620) due to SARS-CoV-2 infection.

resultsWe collected data for 32,583 patients with breast cancer, 24,975 with colorectal cancer, 6744 with oesophageal cancer, and 29,305 with lung cancer. We estimate that across the four site-specific cancers combined in England alone, additional excess cancer deaths would amount to a loss of 32,700 QALYs (95% CI 31,300-34,100) and productivity losses of £103.8million GBP (73.2-132.2) in the next five years. For breast cancer, we estimate a loss of 4100 QALYS (3900-4400) and productivity losses of £23.2 m (18.2-28.6); for colorectal cancer, 15,000 QALYS (14,100-16,000) lost and productivity losses of £35.7 m (22.4-48.7); for lung cancer 10,900 QALYS (9,900-11,700) lost and productivity losses of £38.3 m (14.0-59.9) for lung cancer; and for oesophageal cancer, 2700 QALYS (2300-3,100) lost and productivity losses of £6.6 m (-6 to -17.6). In comparison, the equivalent number of COVID-19 deaths caused approximately 21,450 QALYs lost, as well as productivity losses amounting to £76.4 m (73.5-79.2).

conclusionPremature cancer deaths resulting from diagnostic delays during the first wave of the COVID-19 pandemic in the UK will result in significant economic losses. On a per-capita basis, this impact is, in fact, greater than that of deaths directly attributable to COVID-19. These results emphasise the importance of robust evaluation of the trade-offs of the wider health, welfare and economic effects of NPI to support both resource allocation and the prioritisation of time-critical health services directly impacted in a pandemic, such as cancer care.

Indexed as

COVID-19NeoplasmsDelayed DiagnosisEnglandHumansPandemicsSARS-CoV-2State MedicineUnited KingdomAvoidable deathsCancerCOVID-19Diagnostic delayEconomicsProductivityQuality-adjusted life years

Identifiers

PMID34049776
PMCPMC8530528
OpenAlexW3157515613

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.